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4
.github/workflows/ci.yml vendored
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@ -13,6 +13,8 @@ env:
HOST: ${{ secrets.HOST }}
LLAMAPARSE_API_KEY: ${{ secrets.LLAMAPARSE_API_KEY }}
LOGTAIL_KEY: ${{ secrets.LOGTAIL_KEY }}
POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }}
POSTHOG_HOST: ${{ secrets.POSTHOG_HOST }}
NUM_WORKERS_PER_QUEUE: ${{ secrets.NUM_WORKERS_PER_QUEUE }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
PLAYWRIGHT_MICROSERVICE_URL: ${{ secrets.PLAYWRIGHT_MICROSERVICE_URL }}
@ -38,7 +40,7 @@ jobs:
- name: Set up Node.js
uses: actions/setup-node@v3
with:
node-version: '20'
node-version: "20"
- name: Install pnpm
run: npm install -g pnpm
- name: Install dependencies

44
.github/workflows/fly.yml vendored
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@ -13,6 +13,8 @@ env:
HOST: ${{ secrets.HOST }}
LLAMAPARSE_API_KEY: ${{ secrets.LLAMAPARSE_API_KEY }}
LOGTAIL_KEY: ${{ secrets.LOGTAIL_KEY }}
POSTHOG_API_KEY: ${{ secrets.POSTHOG_API_KEY }}
POSTHOG_HOST: ${{ secrets.POSTHOG_HOST }}
NUM_WORKERS_PER_QUEUE: ${{ secrets.NUM_WORKERS_PER_QUEUE }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
PLAYWRIGHT_MICROSERVICE_URL: ${{ secrets.PLAYWRIGHT_MICROSERVICE_URL }}
@ -38,7 +40,7 @@ jobs:
- name: Set up Node.js
uses: actions/setup-node@v3
with:
node-version: '20'
node-version: "20"
- name: Install pnpm
run: npm install -g pnpm
- name: Install dependencies
@ -56,10 +58,47 @@ jobs:
run: |
npm run test:prod
working-directory: ./apps/api
pre-deploy-test-suite:
name: Test Suite
needs: pre-deploy
runs-on: ubuntu-latest
services:
redis:
image: redis
ports:
- 6379:6379
steps:
- uses: actions/checkout@v3
- name: Set up Node.js
uses: actions/setup-node@v3
with:
node-version: "20"
- name: Install pnpm
run: npm install -g pnpm
- name: Install dependencies
run: pnpm install
working-directory: ./apps/api
- name: Start the application
run: npm start &
working-directory: ./apps/api
id: start_app
- name: Start workers
run: npm run workers &
working-directory: ./apps/api
id: start_workers
- name: Install dependencies
run: pnpm install
working-directory: ./apps/test-suite
- name: Run E2E tests
run: |
npm run test
working-directory: ./apps/test-suite
deploy:
name: Deploy app
runs-on: ubuntu-latest
needs: pre-deploy
needs: pre-deploy-test-suite
steps:
- uses: actions/checkout@v3
- name: Change directory
@ -68,4 +107,3 @@ jobs:
- run: flyctl deploy ./apps/api --remote-only -a firecrawl-scraper-js
env:
FLY_API_TOKEN: ${{ secrets.FLY_API_TOKEN }}

6
.gitignore vendored
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@ -8,3 +8,9 @@ dump.rdb
apps/js-sdk/node_modules/
apps/api/.env.local
apps/test-suite/node_modules/
apps/test-suite/.env
apps/test-suite/logs

15
CONTRIBUTING.md
View File

@ -4,20 +4,20 @@ Welcome to [Firecrawl](https://firecrawl.dev) 🔥! Here are some instructions o
If you're contributing, note that the process is similar to other open source repos i.e. (fork firecrawl, make changes, run tests, PR). If you have any questions, and would like help gettin on board, reach out to hello@mendable.ai for more or submit an issue!
## Running the project locally
First, start by installing dependencies
1. node.js [instructions](https://nodejs.org/en/learn/getting-started/how-to-install-nodejs)
2. pnpm [instructions](https://pnpm.io/installation)
3. redis [instructions](https://redis.io/docs/latest/operate/oss_and_stack/install/install-redis/)
Set environment variables in a .env in the /apps/api/ directoryyou can copy over the template in .env.example.
To start, we wont set up authentication, or any optional sub services (pdf parsing, JS blocking support, AI features )
.env:
```
# ===== Required ENVS ======
NUM_WORKERS_PER_QUEUE=8
@ -43,6 +43,11 @@ BULL_AUTH_KEY= #
LOGTAIL_KEY= # Use if you're configuring basic logging with logtail
PLAYWRIGHT_MICROSERVICE_URL= # set if you'd like to run a playwright fallback
LLAMAPARSE_API_KEY= #Set if you have a llamaparse key you'd like to use to parse pdfs
SERPER_API_KEY= #Set if you have a serper key you'd like to use as a search api
SLACK_WEBHOOK_URL= # set if you'd like to send slack server health status messages
POSTHOG_API_KEY= # set if you'd like to send posthog events like job logs
POSTHOG_HOST= # set if you'd like to send posthog events like job logs
```
@ -69,6 +74,7 @@ redis-server
### Terminal 2 - setting up workers
Now, navigate to the apps/api/ directory and run:
```bash
pnpm run workers
```
@ -77,7 +83,6 @@ This will start the workers who are responsible for processing crawl jobs.
### Terminal 3 - setting up the main server
To do this, navigate to the apps/api/ directory and run if you don’t have this already, install pnpm here: https://pnpm.io/installation
Next, run your server with:
@ -92,8 +97,8 @@ Alright: now let’s send our first request.
```curl
curl -X GET http://localhost:3002/test
```
This should return the response Hello, world!
This should return the response Hello, world!
If you’d like to test the crawl endpoint, you can run this
@ -110,5 +115,3 @@ curl -X POST http://localhost:3002/v0/crawl \
The best way to do this is run the test with `npm run test:local-no-auth` if you'd like to run the tests without authentication.
If you'd like to run the tests with authentication, run `npm run test:prod`

796
LICENSE
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@ -1,201 +1,661 @@
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224
README.md
View File

@ -1,8 +1,8 @@
# 🔥 Firecrawl
Crawl and convert any website into LLM-ready markdown. Build by [Mendable.ai](https://mendable.ai?ref=gfirecrawl)
Crawl and convert any website into LLM-ready markdown. Built by [Mendable.ai](https://mendable.ai?ref=gfirecrawl) and the firecrawl community.
_This repository is currently in its early stages of development. We are in the process of merging custom modules into this mono repository. The primary objective is to enhance the accuracy of LLM responses by utilizing clean data. It is not ready for full self-host yet - we're working on it_
_This repository is in its early development stages. We are still merging custom modules in the mono repo. It's not completely yet ready for full self-host deployment, but you can already run it locally._
## What is Firecrawl?
@ -147,7 +147,73 @@ curl -X POST https://api.firecrawl.dev/v0/search \
}
```
Coming soon to the Langchain and LLama Index integrations.
### Intelligent Extraction (Beta)
Used to extract structured data from scraped pages.
```bash
curl -X POST https://api.firecrawl.dev/v0/scrape \
-H 'Content-Type: application/json' \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
"url": "https://www.mendable.ai/",
"extractorOptions": {
"mode": "llm-extraction",
"extractionPrompt": "Based on the information on the page, extract the information from the schema. ",
"extractionSchema": {
"type": "object",
"properties": {
"company_mission": {
"type": "string"
},
"supports_sso": {
"type": "boolean"
},
"is_open_source": {
"type": "boolean"
},
"is_in_yc": {
"type": "boolean"
}
},
"required": [
"company_mission",
"supports_sso",
"is_open_source",
"is_in_yc"
]
}
}
}'
```
```json
{
"success": true,
"data": {
"content": "Raw Content",
"metadata": {
"title": "Mendable",
"description": "Mendable allows you to easily build AI chat applications. Ingest, customize, then deploy with one line of code anywhere you want. Brought to you by SideGuide",
"robots": "follow, index",
"ogTitle": "Mendable",
"ogDescription": "Mendable allows you to easily build AI chat applications. Ingest, customize, then deploy with one line of code anywhere you want. Brought to you by SideGuide",
"ogUrl": "https://mendable.ai/",
"ogImage": "https://mendable.ai/mendable_new_og1.png",
"ogLocaleAlternate": [],
"ogSiteName": "Mendable",
"sourceURL": "https://mendable.ai/"
},
"llm_extraction": {
"company_mission": "Train a secure AI on your technical resources that answers customer and employee questions so your team doesn't have to",
"supports_sso": true,
"is_open_source": false,
"is_in_yc": true
}
}
}
```
## Using Python SDK
@ -180,18 +246,166 @@ url = 'https://example.com'
scraped_data = app.scrape_url(url)
```
### Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support pydanti schemas to make it easier for you too. Here is how you to use it:
```python
class ArticleSchema(BaseModel):
title: str
points: int
by: str
commentsURL: str
class TopArticlesSchema(BaseModel):
top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
data = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': TopArticlesSchema.model_json_schema(),
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(data["llm_extraction"])
```
### Search for a query
Performs a web search, retrieve the top results, extract data from each page, and returns their markdown.
```python
query = 'what is mendable?'
query = 'What is Mendable?'
search_result = app.search(query)
```
## Using the Node SDK
### Installation
To install the Firecrawl Node SDK, you can use npm:
```bash
npm install @mendable/firecrawl-js
```
### Usage
1. Get an API key from [firecrawl.dev](https://firecrawl.dev)
2. Set the API key as an environment variable named `FIRECRAWL_API_KEY` or pass it as a parameter to the `FirecrawlApp` class.
### Scraping a URL
To scrape a single URL with error handling, use the `scrapeUrl` method. It takes the URL as a parameter and returns the scraped data as a dictionary.
```js
try {
const url = 'https://example.com';
const scrapedData = await app.scrapeUrl(url);
console.log(scrapedData);
} catch (error) {
console.error(
'Error occurred while scraping:',
error.message
);
}
```
### Crawling a Website
To crawl a website with error handling, use the `crawlUrl` method. It takes the starting URL and optional parameters as arguments. The `params` argument allows you to specify additional options for the crawl job, such as the maximum number of pages to crawl, allowed domains, and the output format.
```js
const crawlUrl = 'https://example.com';
const params = {
crawlerOptions: {
excludes: ['blog/'],
includes: [], // leave empty for all pages
limit: 1000,
},
pageOptions: {
onlyMainContent: true
}
};
const waitUntilDone = true;
const timeout = 5;
const crawlResult = await app.crawlUrl(
crawlUrl,
params,
waitUntilDone,
timeout
);
```
### Checking Crawl Status
To check the status of a crawl job with error handling, use the `checkCrawlStatus` method. It takes the job ID as a parameter and returns the current status of the crawl job.
```js
const status = await app.checkCrawlStatus(jobId);
console.log(status);
```
### Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support zod schema to make it easier for you too. Here is how you to use it:
```js
import FirecrawlApp from "@mendable/firecrawl-js";
import { z } from "zod";
const app = new FirecrawlApp({
apiKey: "fc-YOUR_API_KEY",
});
// Define schema to extract contents into
const schema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
const scrapeResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: schema },
});
console.log(scrapeResult.data["llm_extraction"]);
```
### Search for a query
With the `search` method, you can search for a query in a search engine and get the top results along with the page content for each result. The method takes the query as a parameter and returns the search results.
```js
const query = 'what is mendable?';
const searchResults = await app.search(query, {
pageOptions: {
fetchPageContent: true // Fetch the page content for each search result
}
});
```
## Contributing
We love contributions! Please read our [contributing guide](CONTRIBUTING.md) before submitting a pull request.
*It is the sole responsibility of the end users to respect websites' policies when scraping, searching and crawling with Firecrawl. Users are advised to adhere to the applicable privacy policies and terms of use of the websites prior to initiating any scraping activities. By default, Firecrawl respects the directives specified in the websites' robots.txt files when crawling. By utilizing Firecrawl, you expressly agree to comply with these conditions.*

3
apps/api/.env.example
View File

@ -24,3 +24,6 @@ PLAYWRIGHT_MICROSERVICE_URL= # set if you'd like to run a playwright fallback
LLAMAPARSE_API_KEY= #Set if you have a llamaparse key you'd like to use to parse pdfs
SERPER_API_KEY= #Set if you have a serper key you'd like to use as a search api
SLACK_WEBHOOK_URL= # set if you'd like to send slack server health status messages
POSTHOG_API_KEY= # set if you'd like to send posthog events like job logs
POSTHOG_HOST= # set if you'd like to send posthog events like job logs

19
apps/api/fly.toml
View File

@ -17,11 +17,16 @@ kill_timeout = '5s'
[http_service]
internal_port = 8080
force_https = true
auto_stop_machines = true
auto_stop_machines = false
auto_start_machines = true
min_machines_running = 0
min_machines_running = 2
processes = ['app']
[http_service.concurrency]
type = "requests"
hard_limit = 200
soft_limit = 100
[[services]]
protocol = 'tcp'
internal_port = 8080
@ -38,10 +43,14 @@ kill_timeout = '5s'
[services.concurrency]
type = 'connections'
hard_limit = 45
soft_limit = 20
hard_limit = 75
soft_limit = 30
[[vm]]
size = 'performance-1x'
size = 'performance-4x'
processes = ['app']

9
apps/api/package.json
View File

@ -46,11 +46,12 @@
"@bull-board/api": "^5.14.2",
"@bull-board/express": "^5.8.0",
"@devil7softwares/pos": "^1.0.2",
"@dqbd/tiktoken": "^1.0.7",
"@dqbd/tiktoken": "^1.0.13",
"@logtail/node": "^0.4.12",
"@nangohq/node": "^0.36.33",
"@sentry/node": "^7.48.0",
"@supabase/supabase-js": "^2.7.1",
"ajv": "^8.12.0",
"async": "^3.2.5",
"async-mutex": "^0.4.0",
"axios": "^1.3.4",
@ -68,6 +69,7 @@
"gpt3-tokenizer": "^1.1.5",
"ioredis": "^5.3.2",
"joplin-turndown-plugin-gfm": "^1.0.12",
"json-schema-to-zod": "^2.1.0",
"keyword-extractor": "^0.0.25",
"langchain": "^0.1.25",
"languagedetect": "^2.0.0",
@ -80,6 +82,7 @@
"openai": "^4.28.4",
"pdf-parse": "^1.1.1",
"pos": "^0.4.2",
"posthog-node": "^4.0.1",
"promptable": "^0.0.9",
"puppeteer": "^22.6.3",
"rate-limiter-flexible": "^2.4.2",
@ -93,7 +96,9 @@
"unstructured-client": "^0.9.4",
"uuid": "^9.0.1",
"wordpos": "^2.1.0",
"xml2js": "^0.6.2"
"xml2js": "^0.6.2",
"zod": "^3.23.4",
"zod-to-json-schema": "^3.23.0"
},
"nodemonConfig": {
"ignore": [

92
apps/api/pnpm-lock.yaml
View File

@ -21,7 +21,7 @@ dependencies:
specifier: ^1.0.2
version: 1.0.2
'@dqbd/tiktoken':
specifier: ^1.0.7
specifier: ^1.0.13
version: 1.0.13
'@logtail/node':
specifier: ^0.4.12
@ -35,6 +35,9 @@ dependencies:
'@supabase/supabase-js':
specifier: ^2.7.1
version: 2.39.7
ajv:
specifier: ^8.12.0
version: 8.12.0
async:
specifier: ^3.2.5
version: 3.2.5
@ -86,6 +89,9 @@ dependencies:
joplin-turndown-plugin-gfm:
specifier: ^1.0.12
version: 1.0.12
json-schema-to-zod:
specifier: ^2.1.0
version: 2.1.0
keyword-extractor:
specifier: ^0.0.25
version: 0.0.25
@ -122,6 +128,9 @@ dependencies:
pos:
specifier: ^0.4.2
version: 0.4.2
posthog-node:
specifier: ^4.0.1
version: 4.0.1
promptable:
specifier: ^0.0.9
version: 0.0.9
@ -164,6 +173,12 @@ dependencies:
xml2js:
specifier: ^0.6.2
version: 0.6.2
zod:
specifier: ^3.23.4
version: 3.23.4
zod-to-json-schema:
specifier: ^3.23.0
version: 3.23.0(zod@3.23.4)
devDependencies:
'@flydotio/dockerfile':
@ -1200,7 +1215,7 @@ packages:
redis: 4.6.13
typesense: 1.7.2(@babel/runtime@7.24.0)
uuid: 9.0.1
zod: 3.22.4
zod: 3.23.4
transitivePeerDependencies:
- encoding
dev: false
@ -1218,8 +1233,8 @@ packages:
p-queue: 6.6.2
p-retry: 4.6.2
uuid: 9.0.1
zod: 3.22.4
zod-to-json-schema: 3.22.4(zod@3.22.4)
zod: 3.23.4
zod-to-json-schema: 3.23.0(zod@3.23.4)
dev: false
/@langchain/openai@0.0.18:
@ -1229,8 +1244,8 @@ packages:
'@langchain/core': 0.1.43
js-tiktoken: 1.0.10
openai: 4.28.4
zod: 3.22.4
zod-to-json-schema: 3.22.4(zod@3.22.4)
zod: 3.23.4
zod-to-json-schema: 3.23.0(zod@3.23.4)
transitivePeerDependencies:
- encoding
dev: false
@ -1811,6 +1826,15 @@ packages:
humanize-ms: 1.2.1
dev: false
/ajv@8.12.0:
resolution: {integrity: sha512-sRu1kpcO9yLtYxBKvqfTeh9KzZEwO3STyX1HT+4CaDzC6HpTGYhIhPIzj9XuKU7KYDwnaeh5hcOwjy1QuJzBPA==}
dependencies:
fast-deep-equal: 3.1.3
json-schema-traverse: 1.0.0
require-from-string: 2.0.2
uri-js: 4.4.1
dev: false
/ansi-escapes@4.3.2:
resolution: {integrity: sha512-gKXj5ALrKWQLsYG9jlTRmR/xKluxHV+Z9QEwNIgCfM1/uwPMCuzVVnh5mwTd+OuBZcwSIMbqssNWRm1lE51QaQ==}
engines: {node: '>=8'}
@ -2917,6 +2941,10 @@ packages:
- supports-color
dev: false
/fast-deep-equal@3.1.3:
resolution: {integrity: sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==}
dev: false
/fast-fifo@1.3.2:
resolution: {integrity: sha512-/d9sfos4yxzpwkDkuN7k2SqFKtYNmCTzgfEpz82x34IM9/zc8KGxQoXg1liNC/izpRM/MBdt44Nmx41ZWqk+FQ==}
dev: false
@ -3985,6 +4013,15 @@ packages:
/json-parse-even-better-errors@2.3.1:
resolution: {integrity: sha512-xyFwyhro/JEof6Ghe2iz2NcXoj2sloNsWr/XsERDK/oiPCfaNhl5ONfp+jQdAZRQQ0IJWNzH9zIZF7li91kh2w==}
/json-schema-to-zod@2.1.0:
resolution: {integrity: sha512-7ishNgYY+AbIKeeHcp5xCOdJbdVwSfDx/4V2ktc16LUusCJJbz2fEKdWUmAxhKIiYzhZ9Fp4E8OsAoM/h9cOLA==}
hasBin: true
dev: false
/json-schema-traverse@1.0.0:
resolution: {integrity: sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug==}
dev: false
/json5@2.2.3:
resolution: {integrity: sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==}
engines: {node: '>=6'}
@ -4209,8 +4246,8 @@ packages:
redis: 4.6.13
uuid: 9.0.1
yaml: 2.4.1
zod: 3.22.4
zod-to-json-schema: 3.22.4(zod@3.22.4)
zod: 3.23.4
zod-to-json-schema: 3.23.0(zod@3.23.4)
transitivePeerDependencies:
- '@aws-crypto/sha256-js'
- '@aws-sdk/client-bedrock-agent-runtime'
@ -5034,6 +5071,16 @@ packages:
source-map-js: 1.0.2
dev: false
/posthog-node@4.0.1:
resolution: {integrity: sha512-rtqm2h22QxLGBrW2bLYzbRhliIrqgZ0k+gF0LkQ1SNdeD06YE5eilV0MxZppFSxC8TfH0+B0cWCuebEnreIDgQ==}
engines: {node: '>=15.0.0'}
dependencies:
axios: 1.6.7
rusha: 0.8.14
transitivePeerDependencies:
- debug
dev: false
/prelude-ls@1.1.2:
resolution: {integrity: sha512-ESF23V4SKG6lVSGZgYNpbsiaAkdab6ZgOxe52p7+Kid3W3u3bxR4Vfd/o21dmN7jSt0IwgZ4v5MUd26FEtXE9w==}
engines: {node: '>= 0.8.0'}
@ -5069,7 +5116,7 @@ packages:
sbd: 1.0.19
typescript: 5.4.5
uuid: 9.0.1
zod: 3.22.4
zod: 3.23.4
transitivePeerDependencies:
- debug
dev: false
@ -5250,6 +5297,11 @@ packages:
resolution: {integrity: sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q==}
engines: {node: '>=0.10.0'}
/require-from-string@2.0.2:
resolution: {integrity: sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw==}
engines: {node: '>=0.10.0'}
dev: false
/resolve-cwd@3.0.0:
resolution: {integrity: sha512-OrZaX2Mb+rJCpH/6CpSqt9xFVpN++x01XnN2ie9g6P5/3xelLAkXWVADpdz1IHD/KFfEXyE6V0U01OQ3UO2rEg==}
engines: {node: '>=8'}
@ -5291,6 +5343,10 @@ packages:
engines: {node: '>=10.0.0'}
dev: false
/rusha@0.8.14:
resolution: {integrity: sha512-cLgakCUf6PedEu15t8kbsjnwIFFR2D4RfL+W3iWFJ4iac7z4B0ZI8fxy4R3J956kAI68HclCFGL8MPoUVC3qVA==}
dev: false
/safe-buffer@5.2.1:
resolution: {integrity: sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==}
@ -5956,6 +6012,12 @@ packages:
picocolors: 1.0.0
dev: true
/uri-js@4.4.1:
resolution: {integrity: sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==}
dependencies:
punycode: 2.3.1
dev: false
/urlpattern-polyfill@10.0.0:
resolution: {integrity: sha512-H/A06tKD7sS1O1X2SshBVeA5FLycRpjqiBeqGKmBwBDBy28EnRjORxTNe269KSSr5un5qyWi1iL61wLxpd+ZOg==}
dev: false
@ -6185,14 +6247,18 @@ packages:
engines: {node: '>=10'}
dev: true
/zod-to-json-schema@3.22.4(zod@3.22.4):
resolution: {integrity: sha512-2Ed5dJ+n/O3cU383xSY28cuVi0BCQhF8nYqWU5paEpl7fVdqdAmiLdqLyfblbNdfOFwFfi/mqU4O1pwc60iBhQ==}
/zod-to-json-schema@3.23.0(zod@3.23.4):
resolution: {integrity: sha512-az0uJ243PxsRIa2x1WmNE/pnuA05gUq/JB8Lwe1EDCCL/Fz9MgjYQ0fPlyc2Tcv6aF2ZA7WM5TWaRZVEFaAIag==}
peerDependencies:
zod: ^3.22.4
zod: ^3.23.3
dependencies:
zod: 3.22.4
zod: 3.23.4
dev: false
/zod@3.22.4:
resolution: {integrity: sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==}
dev: false
/zod@3.23.4:
resolution: {integrity: sha512-/AtWOKbBgjzEYYQRNfoGKHObgfAZag6qUJX1VbHo2PRBgS+wfWagEY2mizjfyAPcGesrJOcx/wcl0L9WnVrHFw==}
dev: false

5
apps/api/src/__tests__/e2e_noAuth/index.test.ts
View File

@ -25,6 +25,8 @@ describe("E2E Tests for API Routes with No Authentication", () => {
process.env.PLAYWRIGHT_MICROSERVICE_URL = "";
process.env.LLAMAPARSE_API_KEY = "";
process.env.TEST_API_KEY = "";
process.env.POSTHOG_API_KEY = "";
process.env.POSTHOG_HOST = "";
});
// restore original process.env
@ -199,7 +201,8 @@ describe("E2E Tests for API Routes with No Authentication", () => {
expect(completedResponse.body.data[0]).toHaveProperty("content");
expect(completedResponse.body.data[0]).toHaveProperty("markdown");
expect(completedResponse.body.data[0]).toHaveProperty("metadata");
expect(completedResponse.body.data[0].content).toContain("🔥 FireCrawl");
}, 60000); // 60 seconds
});

297
apps/api/src/__tests__/e2e_withAuth/index.test.ts
View File

@ -7,8 +7,7 @@ dotenv.config();
// const TEST_URL = 'http://localhost:3002'
const TEST_URL = "http://127.0.0.1:3002";
describe("E2E Tests for API Routes", () => {
describe("E2E Tests for API Routes", () => {
beforeAll(() => {
process.env.USE_DB_AUTHENTICATION = "true";
});
@ -56,7 +55,9 @@ const TEST_URL = "http://127.0.0.1:3002";
.set("Content-Type", "application/json")
.send({ url: blocklistedUrl });
expect(response.statusCode).toBe(403);
expect(response.body.error).toContain("Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.");
expect(response.body.error).toContain(
"Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it."
);
});
it("should return a successful response with a valid preview token", async () => {
@ -79,9 +80,30 @@ const TEST_URL = "http://127.0.0.1:3002";
expect(response.body.data).toHaveProperty("content");
expect(response.body.data).toHaveProperty("markdown");
expect(response.body.data).toHaveProperty("metadata");
expect(response.body.data).not.toHaveProperty("html");
expect(response.body.data.content).toContain("🔥 FireCrawl");
}, 30000); // 30 seconds timeout
it("should return a successful response with a valid API key and includeHtml set to true", async () => {
const response = await request(TEST_URL)
.post("/v0/scrape")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({
url: "https://firecrawl.dev",
pageOptions: { includeHtml: true },
});
expect(response.statusCode).toBe(200);
expect(response.body).toHaveProperty("data");
expect(response.body.data).toHaveProperty("content");
expect(response.body.data).toHaveProperty("markdown");
expect(response.body.data).toHaveProperty("html");
expect(response.body.data).toHaveProperty("metadata");
expect(response.body.data.content).toContain("🔥 FireCrawl");
expect(response.body.data.markdown).toContain("🔥 FireCrawl");
expect(response.body.data.html).toContain("<h1");
}, 30000); // 30 seconds timeout
it('should return a successful response for a valid scrape with PDF file', async () => {
const response = await request(TEST_URL)
.post('/v0/scrape')
@ -136,7 +158,9 @@ const TEST_URL = "http://127.0.0.1:3002";
.set("Content-Type", "application/json")
.send({ url: blocklistedUrl });
expect(response.statusCode).toBe(403);
expect(response.body.error).toContain("Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.");
expect(response.body.error).toContain(
"Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it."
);
});
it("should return a successful response with a valid API key", async () => {
@ -152,15 +176,12 @@ const TEST_URL = "http://127.0.0.1:3002";
);
});
// Additional tests for insufficient credits?
});
describe("POST /v0/crawlWebsitePreview", () => {
it("should require authorization", async () => {
const response = await request(TEST_URL).post(
"/v0/crawlWebsitePreview"
);
const response = await request(TEST_URL).post("/v0/crawlWebsitePreview");
expect(response.statusCode).toBe(401);
});
@ -173,16 +194,17 @@ const TEST_URL = "http://127.0.0.1:3002";
expect(response.statusCode).toBe(401);
});
it("should return an error for a blocklisted URL", async () => {
const blocklistedUrl = "https://instagram.com/fake-test";
const response = await request(TEST_URL)
.post("/v0/crawlWebsitePreview")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({ url: blocklistedUrl });
expect(response.statusCode).toBe(403);
expect(response.body.error).toContain("Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.");
});
// it("should return an error for a blocklisted URL", async () => {
// const blocklistedUrl = "https://instagram.com/fake-test";
// const response = await request(TEST_URL)
// .post("/v0/crawlWebsitePreview")
// .set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
// .set("Content-Type", "application/json")
// .send({ url: blocklistedUrl });
// // is returning 429 instead of 403
// expect(response.statusCode).toBe(403);
// expect(response.body.error).toContain("Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.");
// });
it("should return a successful response with a valid API key", async () => {
const response = await request(TEST_URL)
@ -213,8 +235,6 @@ const TEST_URL = "http://127.0.0.1:3002";
expect(response.statusCode).toBe(401);
});
it("should return a successful response with a valid API key", async () => {
const response = await request(TEST_URL)
.post("/v0/search")
@ -276,9 +296,7 @@ const TEST_URL = "http://127.0.0.1:3002";
expect(completedResponse.body.data[0]).toHaveProperty("content");
expect(completedResponse.body.data[0]).toHaveProperty("markdown");
expect(completedResponse.body.data[0]).toHaveProperty("metadata");
expect(completedResponse.body.data[0].content).toContain(
"🔥 FireCrawl"
);
expect(completedResponse.body.data[0].content).toContain("🔥 FireCrawl");
}, 60000); // 60 seconds
it('should return a successful response for a valid crawl job with PDF files without explicit .pdf extension', async () => {
@ -316,7 +334,238 @@ const TEST_URL = "http://127.0.0.1:3002";
])
);
}, 60000); // 60 seconds
it("should return a successful response with max depth option for a valid crawl job", async () => {
const crawlResponse = await request(TEST_URL)
.post("/v0/crawl")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({
url: "https://www.scrapethissite.com",
crawlerOptions: { maxDepth: 2 },
});
expect(crawlResponse.statusCode).toBe(200);
const response = await request(TEST_URL)
.get(`/v0/crawl/status/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(response.statusCode).toBe(200);
expect(response.body).toHaveProperty("status");
expect(response.body.status).toBe("active");
// wait for 60 seconds
await new Promise((r) => setTimeout(r, 60000));
const completedResponse = await request(TEST_URL)
.get(`/v0/crawl/status/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(completedResponse.statusCode).toBe(200);
expect(completedResponse.body).toHaveProperty("status");
expect(completedResponse.body.status).toBe("completed");
expect(completedResponse.body).toHaveProperty("data");
expect(completedResponse.body.data[0]).toHaveProperty("content");
expect(completedResponse.body.data[0]).toHaveProperty("markdown");
expect(completedResponse.body.data[0]).toHaveProperty("metadata");
const urls = completedResponse.body.data.map(
(item: any) => item.metadata?.sourceURL
);
expect(urls.length).toBeGreaterThan(1);
// Check if all URLs have a maximum depth of 1
urls.forEach((url) => {
const depth = new URL(url).pathname.split("/").filter(Boolean).length;
expect(depth).toBeLessThanOrEqual(1);
});
}, 120000);
it("should return a successful response for a valid crawl job with includeHtml set to true option", async () => {
const crawlResponse = await request(TEST_URL)
.post("/v0/crawl")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({
url: "https://firecrawl.dev",
pageOptions: { includeHtml: true },
});
expect(crawlResponse.statusCode).toBe(200);
const response = await request(TEST_URL)
.get(`/v0/crawl/status/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(response.statusCode).toBe(200);
expect(response.body).toHaveProperty("status");
expect(response.body.status).toBe("active");
// wait for 30 seconds
await new Promise((r) => setTimeout(r, 30000));
const completedResponse = await request(TEST_URL)
.get(`/v0/crawl/status/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(completedResponse.statusCode).toBe(200);
expect(completedResponse.body).toHaveProperty("status");
expect(completedResponse.body.status).toBe("completed");
expect(completedResponse.body).toHaveProperty("data");
expect(completedResponse.body.data[0]).toHaveProperty("content");
expect(completedResponse.body.data[0]).toHaveProperty("markdown");
expect(completedResponse.body.data[0]).toHaveProperty("metadata");
// 120 seconds
expect(completedResponse.body.data[0]).toHaveProperty("html");
expect(completedResponse.body.data[0]).toHaveProperty("metadata");
expect(completedResponse.body.data[0].content).toContain("🔥 FireCrawl");
expect(completedResponse.body.data[0].markdown).toContain("FireCrawl");
expect(completedResponse.body.data[0].html).toContain("<h1");
}, 60000);
}); // 60 seconds
it("If someone cancels a crawl job, it should turn into failed status", async () => {
const crawlResponse = await request(TEST_URL)
.post("/v0/crawl")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({ url: "https://jestjs.io" });
expect(crawlResponse.statusCode).toBe(200);
// wait for 30 seconds
await new Promise((r) => setTimeout(r, 10000));
const response = await request(TEST_URL)
.delete(`/v0/crawl/cancel/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(response.statusCode).toBe(200);
expect(response.body).toHaveProperty("status");
expect(response.body.status).toBe("cancelled");
await new Promise((r) => setTimeout(r, 20000));
const completedResponse = await request(TEST_URL)
.get(`/v0/crawl/status/${crawlResponse.body.jobId}`)
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`);
expect(completedResponse.statusCode).toBe(200);
expect(completedResponse.body).toHaveProperty("status");
expect(completedResponse.body.status).toBe("failed");
expect(completedResponse.body).toHaveProperty("data");
expect(completedResponse.body.data).toEqual(null);
expect(completedResponse.body).toHaveProperty("partial_data");
expect(completedResponse.body.partial_data[0]).toHaveProperty("content");
expect(completedResponse.body.partial_data[0]).toHaveProperty("markdown");
expect(completedResponse.body.partial_data[0]).toHaveProperty("metadata");
}, 60000); // 60 seconds
describe("POST /v0/scrape with LLM Extraction", () => {
it("should extract data using LLM extraction mode", async () => {
const response = await request(TEST_URL)
.post("/v0/scrape")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.set("Content-Type", "application/json")
.send({
url: "https://mendable.ai",
pageOptions: {
onlyMainContent: true,
},
extractorOptions: {
mode: "llm-extraction",
extractionPrompt:
"Based on the information on the page, find what the company's mission is and whether it supports SSO, and whether it is open source",
extractionSchema: {
type: "object",
properties: {
company_mission: {
type: "string",
},
supports_sso: {
type: "boolean",
},
is_open_source: {
type: "boolean",
},
},
required: ["company_mission", "supports_sso", "is_open_source"],
},
},
});
// Ensure that the job was successfully created before proceeding with LLM extraction
expect(response.statusCode).toBe(200);
// Assuming the LLM extraction object is available in the response body under `data.llm_extraction`
let llmExtraction = response.body.data.llm_extraction;
// Check if the llm_extraction object has the required properties with correct types and values
expect(llmExtraction).toHaveProperty("company_mission");
expect(typeof llmExtraction.company_mission).toBe("string");
expect(llmExtraction).toHaveProperty("supports_sso");
expect(llmExtraction.supports_sso).toBe(true);
expect(typeof llmExtraction.supports_sso).toBe("boolean");
expect(llmExtraction).toHaveProperty("is_open_source");
expect(llmExtraction.is_open_source).toBe(false);
expect(typeof llmExtraction.is_open_source).toBe("boolean");
}, 60000); // 60 secs
});
// describe("POST /v0/scrape for Top 100 Companies", () => {
// it("should extract data for the top 100 companies", async () => {
// const response = await request(TEST_URL)
// .post("/v0/scrape")
// .set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
// .set("Content-Type", "application/json")
// .send({
// url: "https://companiesmarketcap.com/",
// pageOptions: {
// onlyMainContent: true
// },
// extractorOptions: {
// mode: "llm-extraction",
// extractionPrompt: "Extract the name, market cap, price, and today's change for the top 20 companies listed on the page.",
// extractionSchema: {
// type: "object",
// properties: {
// companies: {
// type: "array",
// items: {
// type: "object",
// properties: {
// rank: { type: "number" },
// name: { type: "string" },
// marketCap: { type: "string" },
// price: { type: "string" },
// todayChange: { type: "string" }
// },
// required: ["rank", "name", "marketCap", "price", "todayChange"]
// }
// }
// },
// required: ["companies"]
// }
// }
// });
// // Print the response body to the console for debugging purposes
// console.log("Response companies:", response.body.data.llm_extraction.companies);
// // Check if the response has the correct structure and data types
// expect(response.status).toBe(200);
// expect(Array.isArray(response.body.data.llm_extraction.companies)).toBe(true);
// expect(response.body.data.llm_extraction.companies.length).toBe(40);
// // Sample check for the first company
// const firstCompany = response.body.data.llm_extraction.companies[0];
// expect(firstCompany).toHaveProperty("name");
// expect(typeof firstCompany.name).toBe("string");
// expect(firstCompany).toHaveProperty("marketCap");
// expect(typeof firstCompany.marketCap).toBe("string");
// expect(firstCompany).toHaveProperty("price");
// expect(typeof firstCompany.price).toBe("string");
// expect(firstCompany).toHaveProperty("todayChange");
// expect(typeof firstCompany.todayChange).toBe("string");
// }, 120000); // 120 secs
// });
describe("GET /is-production", () => {
it("should return the production status", async () => {
@ -325,4 +574,4 @@ const TEST_URL = "http://127.0.0.1:3002";
expect(response.body).toHaveProperty("isProduction");
});
});
});
});

2
apps/api/src/controllers/auth.ts
View File

@ -38,7 +38,7 @@ export async function supaAuthenticateUser(
req.socket.remoteAddress) as string;
const iptoken = incomingIP + token;
await getRateLimiter(
token === "this_is_just_a_preview_token" ? RateLimiterMode.Preview : mode
token === "this_is_just_a_preview_token" ? RateLimiterMode.Preview : mode, token
).consume(iptoken);
} catch (rateLimiterRes) {
console.error(rateLimiterRes);

62
apps/api/src/controllers/crawl-cancel.ts Normal file
View File

@ -0,0 +1,62 @@
import { Request, Response } from "express";
import { authenticateUser } from "./auth";
import { RateLimiterMode } from "../../src/types";
import { addWebScraperJob } from "../../src/services/queue-jobs";
import { getWebScraperQueue } from "../../src/services/queue-service";
import { supabase_service } from "../../src/services/supabase";
import { billTeam } from "../../src/services/billing/credit_billing";
export async function crawlCancelController(req: Request, res: Response) {
try {
const { success, team_id, error, status } = await authenticateUser(
req,
res,
RateLimiterMode.CrawlStatus
);
if (!success) {
return res.status(status).json({ error });
}
const job = await getWebScraperQueue().getJob(req.params.jobId);
if (!job) {
return res.status(404).json({ error: "Job not found" });
}
// check if the job belongs to the team
const { data, error: supaError } = await supabase_service
.from("bulljobs_teams")
.select("*")
.eq("job_id", req.params.jobId)
.eq("team_id", team_id);
if (supaError) {
return res.status(500).json({ error: supaError.message });
}
if (data.length === 0) {
return res.status(403).json({ error: "Unauthorized" });
}
const jobState = await job.getState();
const { partialDocs } = await job.progress();
if (partialDocs && partialDocs.length > 0 && jobState === "active") {
console.log("Billing team for partial docs...");
// Note: the credits that we will bill them here might be lower than the actual
// due to promises that are not yet resolved
await billTeam(team_id, partialDocs.length);
}
try {
await job.moveToFailed(Error("Job cancelled by user"), true);
} catch (error) {
console.error(error);
}
const newJobState = await job.getState();
res.json({
status: newJobState === "failed" ? "cancelled" : "Cancelling...",
});
} catch (error) {
console.error(error);
return res.status(500).json({ error: error.message });
}
}

3
apps/api/src/controllers/crawl-status.ts
View File

@ -19,7 +19,7 @@ export async function crawlStatusController(req: Request, res: Response) {
return res.status(404).json({ error: "Job not found" });
}
const { current, current_url, total, current_step } = await job.progress();
const { current, current_url, total, current_step, partialDocs } = await job.progress();
res.json({
status: await job.getState(),
// progress: job.progress(),
@ -28,6 +28,7 @@ export async function crawlStatusController(req: Request, res: Response) {
current_step: current_step,
total: total,
data: job.returnvalue,
partial_data: partialDocs ?? [],
});
} catch (error) {
console.error(error);

13
apps/api/src/controllers/crawl.ts
View File

@ -6,6 +6,7 @@ import { authenticateUser } from "./auth";
import { RateLimiterMode } from "../../src/types";
import { addWebScraperJob } from "../../src/services/queue-jobs";
import { isUrlBlocked } from "../../src/scraper/WebScraper/utils/blocklist";
import { logCrawl } from "../../src/services/logging/crawl_log";
export async function crawlController(req: Request, res: Response) {
try {
@ -30,12 +31,17 @@ export async function crawlController(req: Request, res: Response) {
}
if (isUrlBlocked(url)) {
return res.status(403).json({ error: "Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it." });
return res
.status(403)
.json({
error:
"Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.",
});
}
const mode = req.body.mode ?? "crawl";
const crawlerOptions = req.body.crawlerOptions ?? {};
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false };
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false, includeHtml: false };
if (mode === "single_urls" && !url.includes(",")) {
try {
@ -66,6 +72,7 @@ export async function crawlController(req: Request, res: Response) {
return res.status(500).json({ error: error.message });
}
}
const job = await addWebScraperJob({
url: url,
mode: mode ?? "crawl", // fix for single urls not working
@ -75,6 +82,8 @@ export async function crawlController(req: Request, res: Response) {
origin: req.body.origin ?? "api",
});
await logCrawl(job.id.toString(), team_id);
res.json({ jobId: job.id });
} catch (error) {
console.error(error);

2
apps/api/src/controllers/crawlPreview.ts
View File

@ -26,7 +26,7 @@ export async function crawlPreviewController(req: Request, res: Response) {
const mode = req.body.mode ?? "crawl";
const crawlerOptions = req.body.crawlerOptions ?? {};
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false };
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false, includeHtml: false };
const job = await addWebScraperJob({
url: url,

24
apps/api/src/controllers/keyAuth.ts Normal file
View File

@ -0,0 +1,24 @@
import { AuthResponse, RateLimiterMode } from "../types";
import { Request, Response } from "express";
import { authenticateUser } from "./auth";
export const keyAuthController = async (req: Request, res: Response) => {
try {
// make sure to authenticate user first, Bearer <token>
const { success, team_id, error, status } = await authenticateUser(
req,
res
);
if (!success) {
return res.status(status).json({ error });
}
// if success, return success: true
return res.status(200).json({ success: true });
} catch (error) {
return res.status(500).json({ error: error.message });
}
};

29
apps/api/src/controllers/scrape.ts
View File

@ -1,3 +1,4 @@
import { ExtractorOptions, PageOptions } from './../lib/entities';
import { Request, Response } from "express";
import { WebScraperDataProvider } from "../scraper/WebScraper";
import { billTeam, checkTeamCredits } from "../services/billing/credit_billing";
@ -6,12 +7,14 @@ import { RateLimiterMode } from "../types";
import { logJob } from "../services/logging/log_job";
import { Document } from "../lib/entities";
import { isUrlBlocked } from "../scraper/WebScraper/utils/blocklist"; // Import the isUrlBlocked function
import { numTokensFromString } from '../lib/LLM-extraction/helpers';
export async function scrapeHelper(
req: Request,
team_id: string,
crawlerOptions: any,
pageOptions: any
pageOptions: PageOptions,
extractorOptions: ExtractorOptions,
): Promise<{
success: boolean;
error?: string;
@ -27,6 +30,7 @@ export async function scrapeHelper(
return { success: false, error: "Firecrawl currently does not support social media scraping due to policy restrictions. We're actively working on building support for it.", returnCode: 403 };
}
const a = new WebScraperDataProvider();
await a.setOptions({
mode: "single_urls",
@ -35,6 +39,7 @@ export async function scrapeHelper(
...crawlerOptions,
},
pageOptions: pageOptions,
extractorOptions: extractorOptions,
});
const docs = await a.getDocuments(false);
@ -46,9 +51,17 @@ export async function scrapeHelper(
return { success: true, error: "No page found", returnCode: 200 };
}
let creditsToBeBilled = filteredDocs.length;
const creditsPerLLMExtract = 5;
if (extractorOptions.mode === "llm-extraction"){
creditsToBeBilled = creditsToBeBilled + (creditsPerLLMExtract * filteredDocs.length)
}
const billingResult = await billTeam(
team_id,
filteredDocs.length
creditsToBeBilled
);
if (!billingResult.success) {
return {
@ -78,7 +91,10 @@ export async function scrapeController(req: Request, res: Response) {
return res.status(status).json({ error });
}
const crawlerOptions = req.body.crawlerOptions ?? {};
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false };
const pageOptions = req.body.pageOptions ?? { onlyMainContent: false, includeHtml: false };
const extractorOptions = req.body.extractorOptions ?? {
mode: "markdown"
}
const origin = req.body.origin ?? "api";
try {
@ -96,10 +112,13 @@ export async function scrapeController(req: Request, res: Response) {
req,
team_id,
crawlerOptions,
pageOptions
pageOptions,
extractorOptions,
);
const endTime = new Date().getTime();
const timeTakenInSeconds = (endTime - startTime) / 1000;
const numTokens = (result.data && result.data.markdown) ? numTokensFromString(result.data.markdown, "gpt-3.5-turbo") : 0;
logJob({
success: result.success,
message: result.error,
@ -112,6 +131,8 @@ export async function scrapeController(req: Request, res: Response) {
crawlerOptions: crawlerOptions,
pageOptions: pageOptions,
origin: origin,
extractor_options: extractorOptions,
num_tokens: numTokens,
});
return res.status(result.returnCode).json(result);
} catch (error) {

13
apps/api/src/controllers/search.ts
View File

@ -13,7 +13,7 @@ export async function searchHelper(
team_id: string,
crawlerOptions: any,
pageOptions: PageOptions,
searchOptions: SearchOptions
searchOptions: SearchOptions,
): Promise<{
success: boolean;
error?: string;
@ -54,10 +54,11 @@ export async function searchHelper(
// filter out social media links
const a = new WebScraperDataProvider();
await a.setOptions({
mode: "single_urls",
urls: res.map((r) => r.url),
urls: res.map((r) => r.url).slice(0, searchOptions.limit ?? 7),
crawlerOptions: {
...crawlerOptions,
},
@ -65,11 +66,12 @@ export async function searchHelper(
...pageOptions,
onlyMainContent: pageOptions?.onlyMainContent ?? true,
fetchPageContent: pageOptions?.fetchPageContent ?? true,
includeHtml: pageOptions?.includeHtml ?? false,
fallback: false,
},
});
const docs = await a.getDocuments(true);
const docs = await a.getDocuments(false);
if (docs.length === 0) {
return { success: true, error: "No search results found", returnCode: 200 };
}
@ -116,6 +118,7 @@ export async function searchController(req: Request, res: Response) {
}
const crawlerOptions = req.body.crawlerOptions ?? {};
const pageOptions = req.body.pageOptions ?? {
includeHtml: false,
onlyMainContent: true,
fetchPageContent: true,
fallback: false,
@ -140,14 +143,14 @@ export async function searchController(req: Request, res: Response) {
team_id,
crawlerOptions,
pageOptions,
searchOptions
searchOptions,
);
const endTime = new Date().getTime();
const timeTakenInSeconds = (endTime - startTime) / 1000;
logJob({
success: result.success,
message: result.error,
num_docs: result.data.length,
num_docs: result.data ? result.data.length : 0,
docs: result.data,
time_taken: timeTakenInSeconds,
team_id: team_id,

3
apps/api/src/controllers/status.ts
View File

@ -8,7 +8,7 @@ export async function crawlJobStatusPreviewController(req: Request, res: Respons
return res.status(404).json({ error: "Job not found" });
}
const { current, current_url, total, current_step } = await job.progress();
const { current, current_url, total, current_step, partialDocs } = await job.progress();
res.json({
status: await job.getState(),
// progress: job.progress(),
@ -17,6 +17,7 @@ export async function crawlJobStatusPreviewController(req: Request, res: Respons
current_step: current_step,
total: total,
data: job.returnvalue,
partial_data: partialDocs ?? [],
});
} catch (error) {
console.error(error);

16
apps/api/src/lib/LLM-extraction/helpers.ts Normal file
View File

@ -0,0 +1,16 @@
import { encoding_for_model } from "@dqbd/tiktoken";
import { TiktokenModel } from "@dqbd/tiktoken";
// This function calculates the number of tokens in a text string using GPT-3.5-turbo model
export function numTokensFromString(message: string, model: string): number {
const encoder = encoding_for_model(model as TiktokenModel);
// Encode the message into tokens
const tokens = encoder.encode(message);
// Free the encoder resources after use
encoder.free();
// Return the number of tokens
return tokens.length;
}

56
apps/api/src/lib/LLM-extraction/index.ts Normal file
View File

@ -0,0 +1,56 @@
import Turndown from "turndown";
import OpenAI from "openai";
import Ajv from "ajv";
const ajv = new Ajv(); // Initialize AJV for JSON schema validation
import { generateOpenAICompletions } from "./models";
import { Document, ExtractorOptions } from "../entities";
// Generate completion using OpenAI
export async function generateCompletions(
documents: Document[],
extractionOptions: ExtractorOptions
): Promise<Document[]> {
// const schema = zodToJsonSchema(options.schema)
const schema = extractionOptions.extractionSchema;
const prompt = extractionOptions.extractionPrompt;
const switchVariable = "openAI"; // Placholder, want to think more about how we abstract the model provider
const completions = await Promise.all(
documents.map(async (document: Document) => {
switch (switchVariable) {
case "openAI":
const llm = new OpenAI();
try{
const completionResult = await generateOpenAICompletions({
client: llm,
document: document,
schema: schema,
prompt: prompt,
});
// Validate the JSON output against the schema using AJV
const validate = ajv.compile(schema);
if (!validate(completionResult.llm_extraction)) {
//TODO: add Custom Error handling middleware that bubbles this up with proper Error code, etc.
throw new Error(
`JSON parsing error(s): ${validate.errors
?.map((err) => err.message)
.join(", ")}\n\nLLM extraction did not match the extraction schema you provided. This could be because of a model hallucination, or an Error on our side. Try adjusting your prompt, and if it doesn't work reach out to support.`
);
}
return completionResult;
} catch (error) {
console.error(`Error generating completions: ${error}`);
throw new Error(`Error generating completions: ${error.message}`);
}
default:
throw new Error("Invalid client");
}
})
);
return completions;
}

77
apps/api/src/lib/LLM-extraction/models.ts Normal file
View File

@ -0,0 +1,77 @@
import OpenAI from "openai";
import { Document } from "../../lib/entities";
export type ScraperCompletionResult = {
data: any | null;
url: string;
};
const defaultPrompt =
"You are a professional web scraper. Extract the contents of the webpage";
function prepareOpenAIDoc(
document: Document
): OpenAI.Chat.Completions.ChatCompletionContentPart[] {
// Check if the markdown content exists in the document
if (!document.markdown) {
throw new Error(
"Markdown content is missing in the document. This is likely due to an error in the scraping process. Please try again or reach out to help@mendable.ai"
);
}
return [{ type: "text", text: document.markdown }];
}
export async function generateOpenAICompletions({
client,
model = "gpt-4-turbo",
document,
schema, //TODO - add zod dynamic type checking
prompt = defaultPrompt,
temperature,
}: {
client: OpenAI;
model?: string;
document: Document;
schema: any; // This should be replaced with a proper Zod schema type when available
prompt?: string;
temperature?: number;
}): Promise<Document> {
const openai = client as OpenAI;
const content = prepareOpenAIDoc(document);
const completion = await openai.chat.completions.create({
model,
messages: [
{
role: "system",
content: prompt,
},
{ role: "user", content },
],
tools: [
{
type: "function",
function: {
name: "extract_content",
description: "Extracts the content from the given webpage(s)",
parameters: schema,
},
},
],
tool_choice: { "type": "function", "function": {"name": "extract_content"}},
temperature,
});
const c = completion.choices[0].message.tool_calls[0].function.arguments;
// Extract the LLM extraction content from the completion response
const llmExtraction = JSON.parse(c);
// Return the document with the LLM extraction content added
return {
...document,
llm_extraction: llmExtraction,
};
}

14
apps/api/src/lib/entities.ts
View File

@ -7,15 +7,22 @@ export interface Progress {
[key: string]: any;
};
currentDocumentUrl?: string;
currentDocument?: Document;
}
export type PageOptions = {
onlyMainContent?: boolean;
includeHtml?: boolean;
fallback?: boolean;
fetchPageContent?: boolean;
};
export type ExtractorOptions = {
mode: "markdown" | "llm-extraction";
extractionPrompt?: string;
extractionSchema?: Record<string, any>;
}
export type SearchOptions = {
limit?: number;
tbs?: string;
@ -33,12 +40,15 @@ export type WebScraperOptions = {
includes?: string[];
excludes?: string[];
maxCrawledLinks?: number;
maxDepth?: number;
limit?: number;
generateImgAltText?: boolean;
replaceAllPathsWithAbsolutePaths?: boolean;
};
pageOptions?: PageOptions;
extractorOptions?: ExtractorOptions;
concurrentRequests?: number;
bullJobId?: string;
};
export interface DocumentUrl {
@ -50,6 +60,8 @@ export class Document {
url?: string; // Used only in /search for now
content: string;
markdown?: string;
html?: string;
llm_extraction?: Record<string, any>;
createdAt?: Date;
updatedAt?: Date;
type?: string;

11
apps/api/src/main/runWebScraper.ts
View File

@ -10,13 +10,15 @@ export async function startWebScraperPipeline({
}: {
job: Job<WebScraperOptions>;
}) {
let partialDocs: Document[] = [];
return (await runWebScraper({
url: job.data.url,
mode: job.data.mode,
crawlerOptions: job.data.crawlerOptions,
pageOptions: job.data.pageOptions,
inProgress: (progress) => {
job.progress(progress);
partialDocs.push(progress.currentDocument);
job.progress({...progress, partialDocs: partialDocs});
},
onSuccess: (result) => {
job.moveToCompleted(result);
@ -25,6 +27,7 @@ export async function startWebScraperPipeline({
job.moveToFailed(error);
},
team_id: job.data.team_id,
bull_job_id: job.id.toString()
})) as { success: boolean; message: string; docs: Document[] };
}
export async function runWebScraper({
@ -36,6 +39,7 @@ export async function runWebScraper({
onSuccess,
onError,
team_id,
bull_job_id,
}: {
url: string;
mode: "crawl" | "single_urls" | "sitemap";
@ -45,6 +49,7 @@ export async function runWebScraper({
onSuccess: (result: any) => void;
onError: (error: any) => void;
team_id: string;
bull_job_id: string;
}): Promise<{
success: boolean;
message: string;
@ -58,17 +63,19 @@ export async function runWebScraper({
urls: [url],
crawlerOptions: crawlerOptions,
pageOptions: pageOptions,
bullJobId: bull_job_id
});
} else {
await provider.setOptions({
mode: mode,
urls: url.split(","),
crawlerOptions: crawlerOptions,
pageOptions: pageOptions,
pageOptions: pageOptions
});
}
const docs = (await provider.getDocuments(false, (progress: Progress) => {
inProgress(progress);
})) as Document[];
if (docs.length === 0) {

6
apps/api/src/routes/v0.ts
View File

@ -5,6 +5,8 @@ import { scrapeController } from "../../src/controllers/scrape";
import { crawlPreviewController } from "../../src/controllers/crawlPreview";
import { crawlJobStatusPreviewController } from "../../src/controllers/status";
import { searchController } from "../../src/controllers/search";
import { crawlCancelController } from "../../src/controllers/crawl-cancel";
import { keyAuthController } from "../../src/controllers/keyAuth";
export const v0Router = express.Router();
@ -12,8 +14,12 @@ v0Router.post("/v0/scrape", scrapeController);
v0Router.post("/v0/crawl", crawlController);
v0Router.post("/v0/crawlWebsitePreview", crawlPreviewController);
v0Router.get("/v0/crawl/status/:jobId", crawlStatusController);
v0Router.delete("/v0/crawl/cancel/:jobId", crawlCancelController);
v0Router.get("/v0/checkJobStatus/:jobId", crawlJobStatusPreviewController);
// Auth route for key based authentication
v0Router.get("/v0/keyAuth", keyAuthController);
// Search routes
v0Router.post("/v0/search", searchController);

21
apps/api/src/scraper/WebScraper/crawler.ts
View File

@ -13,6 +13,7 @@ export class WebCrawler {
private includes: string[];
private excludes: string[];
private maxCrawledLinks: number;
private maxCrawledDepth: number;
private visited: Set<string> = new Set();
private crawledUrls: Set<string> = new Set();
private limit: number;
@ -27,6 +28,7 @@ export class WebCrawler {
maxCrawledLinks,
limit = 10000,
generateImgAltText = false,
maxCrawledDepth = 10,
}: {
initialUrl: string;
includes?: string[];
@ -34,6 +36,7 @@ export class WebCrawler {
maxCrawledLinks?: number;
limit?: number;
generateImgAltText?: boolean;
maxCrawledDepth?: number;
}) {
this.initialUrl = initialUrl;
this.baseUrl = new URL(initialUrl).origin;
@ -44,15 +47,22 @@ export class WebCrawler {
this.robots = robotsParser(this.robotsTxtUrl, "");
// Deprecated, use limit instead
this.maxCrawledLinks = maxCrawledLinks ?? limit;
this.maxCrawledDepth = maxCrawledDepth ?? 10;
this.generateImgAltText = generateImgAltText ?? false;
}
private filterLinks(sitemapLinks: string[], limit: number): string[] {
private filterLinks(sitemapLinks: string[], limit: number, maxDepth: number): string[] {
return sitemapLinks
.filter((link) => {
const url = new URL(link);
const path = url.pathname;
const depth = url.pathname.split('/').length - 1;
// Check if the link exceeds the maximum depth allowed
if (depth > maxDepth) {
return false;
}
// Check if the link should be excluded
if (this.excludes.length > 0 && this.excludes[0] !== "") {
@ -87,7 +97,8 @@ export class WebCrawler {
public async start(
inProgress?: (progress: Progress) => void,
concurrencyLimit: number = 5,
limit: number = 10000
limit: number = 10000,
maxDepth: number = 10
): Promise<string[]> {
// Fetch and parse robots.txt
try {
@ -99,7 +110,7 @@ export class WebCrawler {
const sitemapLinks = await this.tryFetchSitemapLinks(this.initialUrl);
if (sitemapLinks.length > 0) {
const filteredLinks = this.filterLinks(sitemapLinks, limit);
const filteredLinks = this.filterLinks(sitemapLinks, limit, maxDepth);
return filteredLinks;
}
@ -110,13 +121,13 @@ export class WebCrawler {
);
if (
urls.length === 0 &&
this.filterLinks([this.initialUrl], limit).length > 0
this.filterLinks([this.initialUrl], limit, this.maxCrawledDepth).length > 0
) {
return [this.initialUrl];
}
// make sure to run include exclude here again
return this.filterLinks(urls, limit);
return this.filterLinks(urls, limit, this.maxCrawledDepth);
}
private async crawlUrls(

339
apps/api/src/scraper/WebScraper/index.ts
View File

@ -1,4 +1,9 @@
import { Document, PageOptions, WebScraperOptions } from "../../lib/entities";
import {
Document,
ExtractorOptions,
PageOptions,
WebScraperOptions,
} from "../../lib/entities";
import { Progress } from "../../lib/entities";
import { scrapSingleUrl } from "./single_url";
import { SitemapEntry, fetchSitemapData, getLinksFromSitemap } from "./sitemap";
@ -6,21 +11,30 @@ import { WebCrawler } from "./crawler";
import { getValue, setValue } from "../../services/redis";
import { getImageDescription } from "./utils/imageDescription";
import { fetchAndProcessPdf, isUrlAPdf } from "./utils/pdfProcessor";
import { replaceImgPathsWithAbsolutePaths, replacePathsWithAbsolutePaths } from "./utils/replacePaths";
import {
replaceImgPathsWithAbsolutePaths,
replacePathsWithAbsolutePaths,
} from "./utils/replacePaths";
import { generateCompletions } from "../../lib/LLM-extraction";
import { getWebScraperQueue } from "../../../src/services/queue-service";
export class WebScraperDataProvider {
private bullJobId: string;
private urls: string[] = [""];
private mode: "single_urls" | "sitemap" | "crawl" = "single_urls";
private includes: string[];
private excludes: string[];
private maxCrawledLinks: number;
private maxCrawledDepth: number = 10;
private returnOnlyUrls: boolean;
private limit: number = 10000;
private concurrentRequests: number = 20;
private generateImgAltText: boolean = false;
private pageOptions?: PageOptions;
private extractorOptions?: ExtractorOptions;
private replaceAllPathsWithAbsolutePaths?: boolean = false;
private generateImgAltTextModel: "gpt-4-turbo" | "claude-3-opus" = "gpt-4-turbo";
private generateImgAltTextModel: "gpt-4-turbo" | "claude-3-opus" =
"gpt-4-turbo";
authorize(): void {
throw new Error("Method not implemented.");
@ -36,12 +50,13 @@ export class WebScraperDataProvider {
): Promise<Document[]> {
const totalUrls = urls.length;
let processedUrls = 0;
const results: (Document | null)[] = new Array(urls.length).fill(null);
for (let i = 0; i < urls.length; i += this.concurrentRequests) {
const batchUrls = urls.slice(i, i + this.concurrentRequests);
await Promise.all(
batchUrls.map(async (url, index) => {
const result = await scrapSingleUrl(url, true, this.pageOptions);
const result = await scrapSingleUrl(url, this.pageOptions);
processedUrls++;
if (inProgress) {
inProgress({
@ -49,11 +64,26 @@ export class WebScraperDataProvider {
total: totalUrls,
status: "SCRAPING",
currentDocumentUrl: url,
currentDocument: result,
});
}
results[i + index] = result;
})
);
try {
if (this.mode === "crawl" && this.bullJobId) {
const job = await getWebScraperQueue().getJob(this.bullJobId);
const jobStatus = await job.getState();
if (jobStatus === "failed") {
throw new Error(
"Job has failed or has been cancelled by the user. Stopping the job..."
);
}
}
} catch (error) {
console.error(error);
}
}
return results.filter((result) => result !== null) as Document[];
}
@ -62,24 +92,86 @@ export class WebScraperDataProvider {
useCaching: boolean = false,
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
this.validateInitialUrl();
if (!useCaching) {
return this.processDocumentsWithoutCache(inProgress);
}
return this.processDocumentsWithCache(inProgress);
}
private validateInitialUrl(): void {
if (this.urls[0].trim() === "") {
throw new Error("Url is required");
}
}
if (!useCaching) {
if (this.mode === "crawl") {
/**
* Process documents without cache handling each mode
* @param inProgress inProgress
* @returns documents
*/
private async processDocumentsWithoutCache(
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
switch (this.mode) {
case "crawl":
return this.handleCrawlMode(inProgress);
case "single_urls":
return this.handleSingleUrlsMode(inProgress);
case "sitemap":
return this.handleSitemapMode(inProgress);
default:
return [];
}
}
private async handleCrawlMode(
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
const crawler = new WebCrawler({
initialUrl: this.urls[0],
includes: this.includes,
excludes: this.excludes,
maxCrawledLinks: this.maxCrawledLinks,
maxCrawledDepth: this.maxCrawledDepth,
limit: this.limit,
generateImgAltText: this.generateImgAltText,
});
let links = await crawler.start(inProgress, 5, this.limit);
let links = await crawler.start(inProgress, 5, this.limit, this.maxCrawledDepth);
if (this.returnOnlyUrls) {
inProgress({
return this.returnOnlyUrlsResponse(links, inProgress);
}
let documents = await this.processLinks(links, inProgress);
return this.cacheAndFinalizeDocuments(documents, links);
}
private async handleSingleUrlsMode(
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
let documents = await this.processLinks(this.urls, inProgress);
return documents;
}
private async handleSitemapMode(
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
let links = await getLinksFromSitemap(this.urls[0]);
if (this.returnOnlyUrls) {
return this.returnOnlyUrlsResponse(links, inProgress);
}
let documents = await this.processLinks(links, inProgress);
return this.cacheAndFinalizeDocuments(documents, links);
}
private async returnOnlyUrlsResponse(
links: string[],
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
inProgress?.({
current: links.length,
total: links.length,
status: "COMPLETED",
@ -87,177 +179,71 @@ export class WebScraperDataProvider {
});
return links.map((url) => ({
content: "",
html: this.pageOptions?.includeHtml ? "" : undefined,
markdown: "",
metadata: { sourceURL: url },
}));
}
let pdfLinks = [];
let notPdfLinks = [];
for (let link of links) {
if (await isUrlAPdf({ url: link })) {
pdfLinks.push(link);
} else {
notPdfLinks.push(link);
}
}
private async processLinks(
links: string[],
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
let pdfLinks = links.filter((link) => link.endsWith(".pdf"));
let pdfDocuments = await this.fetchPdfDocuments(pdfLinks);
links = links.filter((link) => !link.endsWith(".pdf"));
console.log("crawl", {pdfLinks})
let pdfDocuments: Document[] = [];
for (let pdfLink of pdfLinks) {
const pdfContent = await fetchAndProcessPdf(pdfLink);
pdfDocuments.push({
content: pdfContent,
metadata: { sourceURL: pdfLink },
provider: "web-scraper",
});
}
let documents = await this.convertUrlsToDocuments(notPdfLinks, inProgress);
let documents = await this.convertUrlsToDocuments(links, inProgress);
documents = await this.getSitemapData(this.urls[0], documents);
documents = this.applyPathReplacements(documents);
documents = await this.applyImgAltText(documents);
if (this.replaceAllPathsWithAbsolutePaths) {
documents = replacePathsWithAbsolutePaths(documents);
} else {
documents = replaceImgPathsWithAbsolutePaths(documents);
}
if (this.generateImgAltText) {
documents = await this.generatesImgAltText(documents);
}
documents = documents.concat(pdfDocuments);
// CACHING DOCUMENTS
// - parent document
const cachedParentDocumentString = await getValue(
"web-scraper-cache:" + this.normalizeUrl(this.urls[0])
);
if (cachedParentDocumentString != null) {
let cachedParentDocument = JSON.parse(cachedParentDocumentString);
if (
!cachedParentDocument.childrenLinks ||
cachedParentDocument.childrenLinks.length < links.length - 1
this.extractorOptions.mode === "llm-extraction" &&
this.mode === "single_urls"
) {
cachedParentDocument.childrenLinks = links.filter(
(link) => link !== this.urls[0]
);
await setValue(
"web-scraper-cache:" + this.normalizeUrl(this.urls[0]),
JSON.stringify(cachedParentDocument),
60 * 60 * 24 * 10
); // 10 days
documents = await generateCompletions(documents, this.extractorOptions);
}
} else {
let parentDocument = documents.filter(
(document) =>
this.normalizeUrl(document.metadata.sourceURL) ===
this.normalizeUrl(this.urls[0])
);
await this.setCachedDocuments(parentDocument, links);
return documents.concat(pdfDocuments);
}
await this.setCachedDocuments(
documents.filter(
(document) =>
this.normalizeUrl(document.metadata.sourceURL) !==
this.normalizeUrl(this.urls[0])
),
[]
);
documents = this.removeChildLinks(documents);
documents = documents.splice(0, this.limit);
return documents;
}
if (this.mode === "single_urls") {
let pdfDocuments: Document[] = [];
let nonPdfUrls: string[] = [];
for (let url of this.urls) {
if (await isUrlAPdf({ url: url })) {
const pdfContent = await fetchAndProcessPdf(url);
pdfDocuments.push({
content: pdfContent,
metadata: { sourceURL: url },
provider: "web-scraper",
});
} else {
nonPdfUrls.push(url);
}
}
let documents = await this.convertUrlsToDocuments(
nonPdfUrls,
inProgress
);
if (this.replaceAllPathsWithAbsolutePaths) {
documents = replacePathsWithAbsolutePaths(documents);
} else {
documents = replaceImgPathsWithAbsolutePaths(documents);
}
if (this.generateImgAltText) {
documents = await this.generatesImgAltText(documents);
}
const baseUrl = new URL(this.urls[0]).origin;
documents = await this.getSitemapData(baseUrl, documents);
documents = documents.concat(pdfDocuments);
await this.setCachedDocuments(documents);
documents = this.removeChildLinks(documents);
documents = documents.splice(0, this.limit);
return documents;
}
if (this.mode === "sitemap") {
let links = await getLinksFromSitemap(this.urls[0]);
let pdfLinks = [];
let nonPdfLinks = [];
for (let link of links) {
if (await isUrlAPdf({ url: link })) {
pdfLinks.push(link);
} else {
nonPdfLinks.push(link);
}
}
let pdfDocuments: Document[] = [];
for (let pdfLink of pdfLinks) {
private async fetchPdfDocuments(pdfLinks: string[]): Promise<Document[]> {
return Promise.all(
pdfLinks.map(async (pdfLink) => {
const pdfContent = await fetchAndProcessPdf(pdfLink);
pdfDocuments.push({
return {
content: pdfContent,
metadata: { sourceURL: pdfLink },
provider: "web-scraper",
});
}
let documents = await this.convertUrlsToDocuments(
nonPdfLinks.slice(0, this.limit),
inProgress
};
})
);
documents = await this.getSitemapData(this.urls[0], documents);
if (this.replaceAllPathsWithAbsolutePaths) {
documents = replacePathsWithAbsolutePaths(documents);
} else {
documents = replaceImgPathsWithAbsolutePaths(documents);
}
if (this.generateImgAltText) {
documents = await this.generatesImgAltText(documents);
private applyPathReplacements(documents: Document[]): Document[] {
return this.replaceAllPathsWithAbsolutePaths
? replacePathsWithAbsolutePaths(documents)
: replaceImgPathsWithAbsolutePaths(documents);
}
documents = documents.concat(pdfDocuments);
await this.setCachedDocuments(documents);
private async applyImgAltText(documents: Document[]): Promise<Document[]> {
return this.generateImgAltText
? this.generatesImgAltText(documents)
: documents;
}
private async cacheAndFinalizeDocuments(
documents: Document[],
links: string[]
): Promise<Document[]> {
await this.setCachedDocuments(documents, links);
documents = this.removeChildLinks(documents);
documents = documents.splice(0, this.limit);
return documents;
}
return [];
return documents.splice(0, this.limit);
}
private async processDocumentsWithCache(
inProgress?: (progress: Progress) => void
): Promise<Document[]> {
let documents = await this.getCachedDocuments(
this.urls.slice(0, this.limit)
);
@ -266,22 +252,30 @@ export class WebScraperDataProvider {
false,
inProgress
);
documents = this.mergeNewDocuments(documents, newDocuments);
}
documents = this.filterDocsExcludeInclude(documents);
documents = this.filterDepth(documents);
documents = this.removeChildLinks(documents);
return documents.splice(0, this.limit);
}
private mergeNewDocuments(
existingDocuments: Document[],
newDocuments: Document[]
): Document[] {
newDocuments.forEach((doc) => {
if (
!documents.some(
!existingDocuments.some(
(d) =>
this.normalizeUrl(d.metadata.sourceURL) ===
this.normalizeUrl(doc.metadata?.sourceURL)
)
) {
documents.push(doc);
existingDocuments.push(doc);
}
});
}
documents = this.filterDocsExcludeInclude(documents);
documents = this.removeChildLinks(documents);
documents = documents.splice(0, this.limit);
return documents;
return existingDocuments;
}
private filterDocsExcludeInclude(documents: Document[]): Document[] {
@ -358,7 +352,7 @@ export class WebScraperDataProvider {
documents.push(cachedDocument);
// get children documents
for (const childUrl of cachedDocument.childrenLinks) {
for (const childUrl of cachedDocument.childrenLinks || []) {
const normalizedChildUrl = this.normalizeUrl(childUrl);
const childCachedDocumentString = await getValue(
"web-scraper-cache:" + normalizedChildUrl
@ -386,19 +380,21 @@ export class WebScraperDataProvider {
throw new Error("Urls are required");
}
this.bullJobId = options.bullJobId;
this.urls = options.urls;
this.mode = options.mode;
this.concurrentRequests = options.concurrentRequests ?? 20;
this.includes = options.crawlerOptions?.includes ?? [];
this.excludes = options.crawlerOptions?.excludes ?? [];
this.maxCrawledLinks = options.crawlerOptions?.maxCrawledLinks ?? 1000;
this.maxCrawledDepth = options.crawlerOptions?.maxDepth ?? 10;
this.returnOnlyUrls = options.crawlerOptions?.returnOnlyUrls ?? false;
this.limit = options.crawlerOptions?.limit ?? 10000;
this.generateImgAltText =
options.crawlerOptions?.generateImgAltText ?? false;
this.pageOptions = options.pageOptions ?? { onlyMainContent: false };
this.replaceAllPathsWithAbsolutePaths =
options.crawlerOptions?.replaceAllPathsWithAbsolutePaths ?? false;
this.pageOptions = options.pageOptions ?? { onlyMainContent: false, includeHtml: false };
this.extractorOptions = options.extractorOptions ?? {mode: "markdown"}
this.replaceAllPathsWithAbsolutePaths = options.crawlerOptions?.replaceAllPathsWithAbsolutePaths ?? false;
//! @nicolas, for some reason this was being injected and breakign everything. Don't have time to find source of the issue so adding this check
this.excludes = this.excludes.filter((item) => item !== "");
@ -469,8 +465,9 @@ export class WebScraperDataProvider {
altText = await getImageDescription(
imageUrl,
backText,
frontText
, this.generateImgAltTextModel);
frontText,
this.generateImgAltTextModel
);
}
document.content = document.content.replace(
@ -484,4 +481,12 @@ export class WebScraperDataProvider {
return documents;
};
filterDepth(documents: Document[]): Document[] {
return documents.filter((document) => {
const url = new URL(document.metadata.sourceURL);
const path = url.pathname;
return path.split("/").length <= this.maxCrawledDepth;
});
}
}

74
apps/api/src/scraper/WebScraper/single_url.ts
View File

@ -21,7 +21,7 @@ export async function generateRequestParams(
};
try {
const urlKey = new URL(url).hostname;
const urlKey = new URL(url).hostname.replace(/^www\./, "");
if (urlSpecificParams.hasOwnProperty(urlKey)) {
return { ...defaultParams, ...urlSpecificParams[urlKey] };
} else {
@ -77,12 +77,15 @@ export async function scrapWithScrapingBee(
export async function scrapWithPlaywright(url: string): Promise<string> {
try {
const reqParams = await generateRequestParams(url);
const wait_playwright = reqParams["params"]?.wait ?? 0;
const response = await fetch(process.env.PLAYWRIGHT_MICROSERVICE_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({ url: url }),
body: JSON.stringify({ url: url, wait: wait_playwright }),
});
if (!response.ok) {
@ -103,10 +106,8 @@ export async function scrapWithPlaywright(url: string): Promise<string> {
export async function scrapSingleUrl(
urlToScrap: string,
toMarkdown: boolean = true,
pageOptions: PageOptions = { onlyMainContent: true }
pageOptions: PageOptions = { onlyMainContent: true, includeHtml: false }
): Promise<Document> {
console.log(`Scraping URL: ${urlToScrap}`);
urlToScrap = urlToScrap.trim();
const removeUnwantedElements = (html: string, pageOptions: PageOptions) => {
@ -170,58 +171,57 @@ export async function scrapSingleUrl(
}
break;
}
//* TODO: add an optional to return markdown or structured/extracted content
let cleanedHtml = removeUnwantedElements(text, pageOptions);
return [await parseMarkdown(cleanedHtml), text];
};
try {
// TODO: comment this out once we're ready to merge firecrawl-scraper into the mono-repo
// let [text, html] = await attemptScraping(urlToScrap, 'firecrawl-scraper');
// if (!text || text.length < 100) {
// console.log("Falling back to scraping bee load");
// [text, html] = await attemptScraping(urlToScrap, 'scrapingBeeLoad');
// }
let [text, html] = await attemptScraping(urlToScrap, "scrapingBee");
// Basically means that it is using /search endpoint
if (pageOptions.fallback === false) {
const soup = cheerio.load(html);
const metadata = extractMetadata(soup, urlToScrap);
return {
url: urlToScrap,
content: text,
markdown: text,
metadata: { ...metadata, sourceURL: urlToScrap },
} as Document;
let [text, html] = ["", ""];
let urlKey = urlToScrap;
try {
urlKey = new URL(urlToScrap).hostname.replace(/^www\./, "");
} catch (error) {
console.error(`Invalid URL key, trying: ${urlToScrap}`);
}
if (!text || text.length < 100) {
console.log("Falling back to playwright");
[text, html] = await attemptScraping(urlToScrap, "playwright");
const defaultScraper = urlSpecificParams[urlKey]?.defaultScraper ?? "";
const scrapersInOrder = defaultScraper
? [
defaultScraper,
"scrapingBee",
"playwright",
"scrapingBeeLoad",
"fetch",
]
: ["scrapingBee", "playwright", "scrapingBeeLoad", "fetch"];
for (const scraper of scrapersInOrder) {
[text, html] = await attemptScraping(urlToScrap, scraper);
if (text && text.length >= 100) break;
console.log(`Falling back to ${scraper}`);
}
if (!text || text.length < 100) {
console.log("Falling back to scraping bee load");
[text, html] = await attemptScraping(urlToScrap, "scrapingBeeLoad");
}
if (!text || text.length < 100) {
console.log("Falling back to fetch");
[text, html] = await attemptScraping(urlToScrap, "fetch");
if (!text) {
throw new Error(`All scraping methods failed for URL: ${urlToScrap}`);
}
const soup = cheerio.load(html);
const metadata = extractMetadata(soup, urlToScrap);
return {
const document: Document = {
content: text,
markdown: text,
html: pageOptions.includeHtml ? html : undefined,
metadata: { ...metadata, sourceURL: urlToScrap },
} as Document;
};
return document;
} catch (error) {
console.error(`Error: ${error} - Failed to fetch URL: ${urlToScrap}`);
return {
content: "",
markdown: "",
html: "",
metadata: { sourceURL: urlToScrap },
} as Document;
}

83
apps/api/src/scraper/WebScraper/utils/custom/website_params.ts
View File

@ -22,9 +22,92 @@ export const urlSpecificParams = {
},
},
"support.greenpay.me":{
defaultScraper: "playwright",
params: {
wait_browser: "networkidle2",
block_resources: false,
wait: 2000,
},
headers: {
"User-Agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"sec-fetch-site": "same-origin",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
referer: "https://www.google.com/",
"accept-language": "en-US,en;q=0.9",
"accept-encoding": "gzip, deflate, br",
accept:
"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
},
},
"docs.pdw.co":{
defaultScraper: "playwright",
params: {
wait_browser: "networkidle2",
block_resources: false,
wait: 3000,
},
headers: {
"User-Agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"sec-fetch-site": "same-origin",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
referer: "https://www.google.com/",
"accept-language": "en-US,en;q=0.9",
"accept-encoding": "gzip, deflate, br",
accept:
"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
},
},
"ycombinator.com":{
defaultScraper: "playwright",
params: {
wait_browser: "networkidle2",
block_resources: false,
wait: 3000,
},
headers: {
"User-Agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"sec-fetch-site": "same-origin",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
referer: "https://www.google.com/",
"accept-language": "en-US,en;q=0.9",
"accept-encoding": "gzip, deflate, br",
accept:
"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
},
},
"developers.notion.com":{
defaultScraper: "playwright",
params: {
wait_browser: "networkidle2",
block_resources: false,
wait: 2000,
},
headers: {
"User-Agent":
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
"sec-fetch-site": "same-origin",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
referer: "https://www.google.com/",
"accept-language": "en-US,en;q=0.9",
"accept-encoding": "gzip, deflate, br",
accept:
"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
},
},
"docs2.hubitat.com":{
defaultScraper: "playwright",
params: {
wait_browser: "networkidle2",
block_resources: false,
wait: 2000,
},
headers: {
"User-Agent":

24
apps/api/src/services/billing/credit_billing.ts
View File

@ -212,20 +212,26 @@ export async function supaCheckTeamCredits(team_id: string, credits: number) {
return { success: true, message: "Sufficient credits available" };
}
// Calculate the total credits used by the team within the current billing period
let totalCreditsUsed = 0;
try {
const { data: creditUsages, error: creditUsageError } = await supabase_service
.from("credit_usage")
.select("credits_used")
.eq("subscription_id", subscription.id)
.gte("created_at", subscription.current_period_start)
.lte("created_at", subscription.current_period_end);
.rpc("get_credit_usage_2", {
sub_id: subscription.id,
start_time: subscription.current_period_start,
end_time: subscription.current_period_end
});
if (creditUsageError) {
throw new Error(`Failed to retrieve credit usage for subscription_id: ${subscription.id}`);
console.error("Error calculating credit usage:", creditUsageError);
}
const totalCreditsUsed = creditUsages.reduce((acc, usage) => acc + usage.credits_used, 0);
if (creditUsages && creditUsages.length > 0) {
totalCreditsUsed = creditUsages[0].total_credits_used;
console.log("Total Credits Used:", totalCreditsUsed);
}
} catch (error) {
console.error("Error calculating credit usage:", error);
}
// Adjust total credits used by subtracting coupon value
const adjustedCreditsUsed = Math.max(0, totalCreditsUsed - couponCredits);

17
apps/api/src/services/logging/crawl_log.ts Normal file
View File

@ -0,0 +1,17 @@
import { supabase_service } from "../supabase";
import "dotenv/config";
export async function logCrawl(job_id: string, team_id: string) {
try {
const { data, error } = await supabase_service
.from("bulljobs_teams")
.insert([
{
job_id: job_id,
team_id: team_id,
},
]);
} catch (error) {
console.error("Error logging crawl job:\n", error);
}
}

26
apps/api/src/services/logging/log_job.ts
View File

@ -1,5 +1,7 @@
import { ExtractorOptions } from './../../lib/entities';
import { supabase_service } from "../supabase";
import { FirecrawlJob } from "../../types";
import { posthog } from "../posthog";
import "dotenv/config";
export async function logJob(job: FirecrawlJob) {
@ -8,6 +10,7 @@ export async function logJob(job: FirecrawlJob) {
if (process.env.ENV !== "production") {
return;
}
const { data, error } = await supabase_service
.from("firecrawl_jobs")
.insert([
@ -23,8 +26,31 @@ export async function logJob(job: FirecrawlJob) {
crawler_options: job.crawlerOptions,
page_options: job.pageOptions,
origin: job.origin,
extractor_options: job.extractor_options,
num_tokens: job.num_tokens
},
]);
if (process.env.POSTHOG_API_KEY) {
posthog.capture({
distinctId: job.team_id === "preview" ? null : job.team_id,
event: "job-logged",
properties: {
success: job.success,
message: job.message,
num_docs: job.num_docs,
time_taken: job.time_taken,
team_id: job.team_id === "preview" ? null : job.team_id,
mode: job.mode,
url: job.url,
crawler_options: job.crawlerOptions,
page_options: job.pageOptions,
origin: job.origin,
extractor_options: job.extractor_options,
num_tokens: job.num_tokens
},
});
}
if (error) {
console.error("Error logging job:\n", error);
}

26
apps/api/src/services/posthog.ts Normal file
View File

@ -0,0 +1,26 @@
import { PostHog } from 'posthog-node';
import "dotenv/config";
export default function PostHogClient() {
const posthogClient = new PostHog(process.env.POSTHOG_API_KEY, {
host: process.env.POSTHOG_HOST,
flushAt: 1,
flushInterval: 0
});
return posthogClient;
}
class MockPostHog {
capture() {}
}
// Using the actual PostHog class if POSTHOG_API_KEY exists, otherwise using the mock class
// Additionally, print a warning to the terminal if POSTHOG_API_KEY is not provided
export const posthog = process.env.POSTHOG_API_KEY
? PostHogClient()
: (() => {
console.warn(
"POSTHOG_API_KEY is not provided - your events will not be logged. Using MockPostHog as a fallback. See posthog.ts for more."
);
return new MockPostHog();
})();

13
apps/api/src/services/rate-limiter.ts
View File

@ -40,6 +40,13 @@ export const crawlStatusRateLimiter = new RateLimiterRedis({
duration: 60, // Duration in seconds
});
export const testSuiteRateLimiter = new RateLimiterRedis({
storeClient: redisClient,
keyPrefix: "middleware",
points: 1000,
duration: 60, // Duration in seconds
});
export function crawlRateLimit(plan: string){
if(plan === "standard"){
@ -69,7 +76,11 @@ export function crawlRateLimit(plan: string){
export function getRateLimiter(mode: RateLimiterMode){
export function getRateLimiter(mode: RateLimiterMode, token: string){
// Special test suite case. TODO: Change this later.
if(token.includes("5089cefa58")){
return testSuiteRateLimiter;
}
switch(mode) {
case RateLimiterMode.Preview:
return previewRateLimiter;

4
apps/api/src/types.ts
View File

@ -1,3 +1,5 @@
import { ExtractorOptions } from "./lib/entities";
export interface CrawlResult {
source: string;
content: string;
@ -37,6 +39,8 @@ export interface FirecrawlJob {
crawlerOptions?: any;
pageOptions?: any;
origin: string;
extractor_options?: ExtractorOptions,
num_tokens?: number,
}
export enum RateLimiterMode {

65
apps/js-sdk/example.js
View File

@ -1,7 +1,13 @@
import FirecrawlApp from '@mendable/firecrawl-js';
import { z } from "zod";
const app = new FirecrawlApp({apiKey: "YOUR_API_KEY"});
const app = new FirecrawlApp({apiKey: "fc-YOUR_API_KEY"});
// Scrape a website:
const scrapeResult = await app.scrapeUrl('firecrawl.dev');
console.log(scrapeResult.data.content)
// Crawl a website:
const crawlResult = await app.crawlUrl('mendable.ai', {crawlerOptions: {excludes: ['blog/*'], limit: 5}}, false);
console.log(crawlResult)
@ -18,3 +24,60 @@ while (true) {
}
console.log(job.data[0].content);
// Search for a query:
const query = 'what is mendable?'
const searchResult = await app.search(query)
console.log(searchResult)
// LLM Extraction:
// Define schema to extract contents into using zod schema
const zodSchema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
let llmExtractionResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: zodSchema },
});
console.log(llmExtractionResult.data.llm_extraction);
// Define schema to extract contents into using json schema
const jsonSchema = {
"type": "object",
"properties": {
"top": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"points": {"type": "number"},
"by": {"type": "string"},
"commentsURL": {"type": "string"}
},
"required": ["title", "points", "by", "commentsURL"]
},
"minItems": 5,
"maxItems": 5,
"description": "Top 5 stories on Hacker News"
}
},
"required": ["top"]
}
llmExtractionResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: jsonSchema },
});
console.log(llmExtractionResult.data.llm_extraction);

83
apps/js-sdk/example.ts Normal file
View File

@ -0,0 +1,83 @@
import FirecrawlApp, { JobStatusResponse } from '@mendable/firecrawl-js';
import { z } from "zod";
const app = new FirecrawlApp({apiKey: "fc-YOUR_API_KEY"});
// Scrape a website:
const scrapeResult = await app.scrapeUrl('firecrawl.dev');
console.log(scrapeResult.data.content)
// Crawl a website:
const crawlResult = await app.crawlUrl('mendable.ai', {crawlerOptions: {excludes: ['blog/*'], limit: 5}}, false);
console.log(crawlResult)
const jobId: string = await crawlResult['jobId'];
console.log(jobId);
let job: JobStatusResponse;
while (true) {
job = await app.checkCrawlStatus(jobId);
if (job.status === 'completed') {
break;
}
await new Promise(resolve => setTimeout(resolve, 1000)); // wait 1 second
}
console.log(job.data[0].content);
// Search for a query:
const query = 'what is mendable?'
const searchResult = await app.search(query)
console.log(searchResult)
// LLM Extraction:
// Define schema to extract contents into using zod schema
const zodSchema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
let llmExtractionResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: zodSchema },
});
console.log(llmExtractionResult.data.llm_extraction);
// Define schema to extract contents into using json schema
const jsonSchema = {
"type": "object",
"properties": {
"top": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"points": {"type": "number"},
"by": {"type": "string"},
"commentsURL": {"type": "string"}
},
"required": ["title", "points", "by", "commentsURL"]
},
"minItems": 5,
"maxItems": 5,
"description": "Top 5 stories on Hacker News"
}
},
"required": ["top"]
}
llmExtractionResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: jsonSchema },
});
console.log(llmExtractionResult.data.llm_extraction);

36
apps/js-sdk/firecrawl/README.md
View File

@ -77,6 +77,42 @@ To scrape a single URL with error handling, use the `scrapeUrl` method. It takes
scrapeExample();
```
### Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support zod schemas to make it easier for you too. Here is how you to use it:
```js
import { z } from "zod";
const zodSchema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
let llmExtractionResult = await app.scrapeUrl("https://news.ycombinator.com", {
extractorOptions: { extractionSchema: zodSchema },
});
console.log(llmExtractionResult.data.llm_extraction);
```
### Search for a query
Used to search the web, get the most relevant results, scrap each page and return the markdown.
```js
query = 'what is mendable?'
searchResult = app.search(query)
```
### Crawling a Website

74
apps/js-sdk/firecrawl/build/index.js
View File

@ -7,9 +7,9 @@ var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, ge
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
import axios from 'axios';
import dotenv from 'dotenv';
dotenv.config();
import axios from "axios";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
/**
* Main class for interacting with the Firecrawl API.
*/
@ -19,9 +19,9 @@ export default class FirecrawlApp {
* @param {FirecrawlAppConfig} config - Configuration options for the FirecrawlApp instance.
*/
constructor({ apiKey = null }) {
this.apiKey = apiKey || process.env.FIRECRAWL_API_KEY || '';
this.apiKey = apiKey || "";
if (!this.apiKey) {
throw new Error('No API key provided');
throw new Error("No API key provided");
}
}
/**
@ -32,16 +32,22 @@ export default class FirecrawlApp {
*/
scrapeUrl(url_1) {
return __awaiter(this, arguments, void 0, function* (url, params = null) {
var _a;
const headers = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
};
let jsonData = { url };
if (params) {
jsonData = Object.assign(Object.assign({}, jsonData), params);
let jsonData = Object.assign({ url }, params);
if ((_a = params === null || params === void 0 ? void 0 : params.extractorOptions) === null || _a === void 0 ? void 0 : _a.extractionSchema) {
let schema = params.extractorOptions.extractionSchema;
// Check if schema is an instance of ZodSchema to correctly identify Zod schemas
if (schema instanceof z.ZodSchema) {
schema = zodToJsonSchema(schema);
}
jsonData = Object.assign(Object.assign({}, jsonData), { extractorOptions: Object.assign(Object.assign({}, params.extractorOptions), { extractionSchema: schema, mode: params.extractorOptions.mode || "llm-extraction" }) });
}
try {
const response = yield axios.post('https://api.firecrawl.dev/v0/scrape', jsonData, { headers });
const response = yield axios.post("https://api.firecrawl.dev/v0/scrape", jsonData, { headers });
if (response.status === 200) {
const responseData = response.data;
if (responseData.success) {
@ -52,13 +58,13 @@ export default class FirecrawlApp {
}
}
else {
this.handleError(response, 'scrape URL');
this.handleError(response, "scrape URL");
}
}
catch (error) {
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
});
}
/**
@ -70,15 +76,15 @@ export default class FirecrawlApp {
search(query_1) {
return __awaiter(this, arguments, void 0, function* (query, params = null) {
const headers = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
};
let jsonData = { query };
if (params) {
jsonData = Object.assign(Object.assign({}, jsonData), params);
}
try {
const response = yield axios.post('https://api.firecrawl.dev/v0/search', jsonData, { headers });
const response = yield axios.post("https://api.firecrawl.dev/v0/search", jsonData, { headers });
if (response.status === 200) {
const responseData = response.data;
if (responseData.success) {
@ -89,13 +95,13 @@ export default class FirecrawlApp {
}
}
else {
this.handleError(response, 'search');
this.handleError(response, "search");
}
}
catch (error) {
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
});
}
/**
@ -114,7 +120,7 @@ export default class FirecrawlApp {
jsonData = Object.assign(Object.assign({}, jsonData), params);
}
try {
const response = yield this.postRequest('https://api.firecrawl.dev/v0/crawl', jsonData, headers);
const response = yield this.postRequest("https://api.firecrawl.dev/v0/crawl", jsonData, headers);
if (response.status === 200) {
const jobId = response.data.jobId;
if (waitUntilDone) {
@ -125,14 +131,14 @@ export default class FirecrawlApp {
}
}
else {
this.handleError(response, 'start crawl job');
this.handleError(response, "start crawl job");
}
}
catch (error) {
console.log(error);
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
});
}
/**
@ -149,13 +155,17 @@ export default class FirecrawlApp {
return response.data;
}
else {
this.handleError(response, 'check crawl status');
this.handleError(response, "check crawl status");
}
}
catch (error) {
throw new Error(error.message);
}
return { success: false, status: 'unknown', error: 'Internal server error.' };
return {
success: false,
status: "unknown",
error: "Internal server error.",
};
});
}
/**
@ -164,8 +174,8 @@ export default class FirecrawlApp {
*/
prepareHeaders() {
return {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
};
}
/**
@ -200,26 +210,26 @@ export default class FirecrawlApp {
const statusResponse = yield this.getRequest(`https://api.firecrawl.dev/v0/crawl/status/${jobId}`, headers);
if (statusResponse.status === 200) {
const statusData = statusResponse.data;
if (statusData.status === 'completed') {
if ('data' in statusData) {
if (statusData.status === "completed") {
if ("data" in statusData) {
return statusData.data;
}
else {
throw new Error('Crawl job completed but no data was returned');
throw new Error("Crawl job completed but no data was returned");
}
}
else if (['active', 'paused', 'pending', 'queued'].includes(statusData.status)) {
else if (["active", "paused", "pending", "queued"].includes(statusData.status)) {
if (timeout < 2) {
timeout = 2;
}
yield new Promise(resolve => setTimeout(resolve, timeout * 1000)); // Wait for the specified timeout before checking again
yield new Promise((resolve) => setTimeout(resolve, timeout * 1000)); // Wait for the specified timeout before checking again
}
else {
throw new Error(`Crawl job failed or was stopped. Status: ${statusData.status}`);
}
}
else {
this.handleError(statusResponse, 'check crawl status');
this.handleError(statusResponse, "check crawl status");
}
}
});
@ -231,7 +241,7 @@ export default class FirecrawlApp {
*/
handleError(response, action) {
if ([402, 409, 500].includes(response.status)) {
const errorMessage = response.data.error || 'Unknown error occurred';
const errorMessage = response.data.error || "Unknown error occurred";
throw new Error(`Failed to ${action}. Status code: ${response.status}. Error: ${errorMessage}`);
}
else {

24
apps/js-sdk/firecrawl/package-lock.json generated
View File

@ -1,15 +1,17 @@
{
"name": "@mendable/firecrawl-js",
"version": "0.0.13",
"version": "0.0.17-beta.8",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@mendable/firecrawl-js",
"version": "0.0.13",
"version": "0.0.17-beta.8",
"license": "MIT",
"dependencies": {
"axios": "^1.6.8"
"axios": "^1.6.8",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.0"
},
"devDependencies": {
"@jest/globals": "^29.7.0",
@ -3766,6 +3768,22 @@
"funding": {
"url": "https://github.com/sponsors/sindresorhus"
}
},
"node_modules/zod": {
"version": "3.23.8",
"resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz",
"integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
"funding": {
"url": "https://github.com/sponsors/colinhacks"
}
},
"node_modules/zod-to-json-schema": {
"version": "3.23.0",
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.23.0.tgz",
"integrity": "sha512-az0uJ243PxsRIa2x1WmNE/pnuA05gUq/JB8Lwe1EDCCL/Fz9MgjYQ0fPlyc2Tcv6aF2ZA7WM5TWaRZVEFaAIag==",
"peerDependencies": {
"zod": "^3.23.3"
}
}
}
}

7
apps/js-sdk/firecrawl/package.json
View File

@ -1,6 +1,6 @@
{
"name": "@mendable/firecrawl-js",
"version": "0.0.16",
"version": "0.0.20",
"description": "JavaScript SDK for Firecrawl API",
"main": "build/index.js",
"types": "types/index.d.ts",
@ -8,6 +8,7 @@
"scripts": {
"build": "tsc",
"publish": "npm run build && npm publish --access public",
"publish-beta": "npm run build && npm publish --access public --tag beta",
"test": "jest src/**/*.test.ts"
},
"repository": {
@ -17,7 +18,9 @@
"author": "Mendable.ai",
"license": "MIT",
"dependencies": {
"axios": "^1.6.8"
"axios": "^1.6.8",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.0"
},
"bugs": {
"url": "https://github.com/mendableai/firecrawl/issues"

157
apps/js-sdk/firecrawl/src/index.ts
View File

@ -1,5 +1,6 @@
import axios, { AxiosResponse, AxiosRequestHeaders } from 'axios';
import axios, { AxiosResponse, AxiosRequestHeaders } from "axios";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
/**
* Configuration interface for FirecrawlApp.
*/
@ -12,6 +13,11 @@ export interface FirecrawlAppConfig {
*/
export interface Params {
[key: string]: any;
extractorOptions?: {
extractionSchema: z.ZodSchema | any;
mode?: "llm-extraction";
extractionPrompt?: string;
};
}
/**
@ -63,9 +69,9 @@ export default class FirecrawlApp {
* @param {FirecrawlAppConfig} config - Configuration options for the FirecrawlApp instance.
*/
constructor({ apiKey = null }: FirecrawlAppConfig) {
this.apiKey = apiKey || '';
this.apiKey = apiKey || "";
if (!this.apiKey) {
throw new Error('No API key provided');
throw new Error("No API key provided");
}
}
@ -75,17 +81,36 @@ export default class FirecrawlApp {
* @param {Params | null} params - Additional parameters for the scrape request.
* @returns {Promise<ScrapeResponse>} The response from the scrape operation.
*/
async scrapeUrl(url: string, params: Params | null = null): Promise<ScrapeResponse> {
async scrapeUrl(
url: string,
params: Params | null = null
): Promise<ScrapeResponse> {
const headers: AxiosRequestHeaders = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
} as AxiosRequestHeaders;
let jsonData: Params = { url };
if (params) {
jsonData = { ...jsonData, ...params };
let jsonData: Params = { url, ...params };
if (params?.extractorOptions?.extractionSchema) {
let schema = params.extractorOptions.extractionSchema;
// Check if schema is an instance of ZodSchema to correctly identify Zod schemas
if (schema instanceof z.ZodSchema) {
schema = zodToJsonSchema(schema);
}
jsonData = {
...jsonData,
extractorOptions: {
...params.extractorOptions,
extractionSchema: schema,
mode: params.extractorOptions.mode || "llm-extraction",
},
};
}
try {
const response: AxiosResponse = await axios.post('https://api.firecrawl.dev/v0/scrape', jsonData, { headers });
const response: AxiosResponse = await axios.post(
"https://api.firecrawl.dev/v0/scrape",
jsonData,
{ headers }
);
if (response.status === 200) {
const responseData = response.data;
if (responseData.success) {
@ -94,12 +119,12 @@ export default class FirecrawlApp {
throw new Error(`Failed to scrape URL. Error: ${responseData.error}`);
}
} else {
this.handleError(response, 'scrape URL');
this.handleError(response, "scrape URL");
}
} catch (error: any) {
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
}
/**
@ -108,17 +133,24 @@ export default class FirecrawlApp {
* @param {Params | null} params - Additional parameters for the search request.
* @returns {Promise<SearchResponse>} The response from the search operation.
*/
async search(query: string, params: Params | null = null): Promise<SearchResponse> {
async search(
query: string,
params: Params | null = null
): Promise<SearchResponse> {
const headers: AxiosRequestHeaders = {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
} as AxiosRequestHeaders;
let jsonData: Params = { query };
if (params) {
jsonData = { ...jsonData, ...params };
}
try {
const response: AxiosResponse = await axios.post('https://api.firecrawl.dev/v0/search', jsonData, { headers });
const response: AxiosResponse = await axios.post(
"https://api.firecrawl.dev/v0/search",
jsonData,
{ headers }
);
if (response.status === 200) {
const responseData = response.data;
if (responseData.success) {
@ -127,12 +159,12 @@ export default class FirecrawlApp {
throw new Error(`Failed to search. Error: ${responseData.error}`);
}
} else {
this.handleError(response, 'search');
this.handleError(response, "search");
}
} catch (error: any) {
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
}
/**
@ -143,14 +175,23 @@ export default class FirecrawlApp {
* @param {number} timeout - Timeout in seconds for job status checks.
* @returns {Promise<CrawlResponse | any>} The response from the crawl operation.
*/
async crawlUrl(url: string, params: Params | null = null, waitUntilDone: boolean = true, timeout: number = 2): Promise<CrawlResponse | any> {
async crawlUrl(
url: string,
params: Params | null = null,
waitUntilDone: boolean = true,
timeout: number = 2
): Promise<CrawlResponse | any> {
const headers = this.prepareHeaders();
let jsonData: Params = { url };
if (params) {
jsonData = { ...jsonData, ...params };
}
try {
const response: AxiosResponse = await this.postRequest('https://api.firecrawl.dev/v0/crawl', jsonData, headers);
const response: AxiosResponse = await this.postRequest(
"https://api.firecrawl.dev/v0/crawl",
jsonData,
headers
);
if (response.status === 200) {
const jobId: string = response.data.jobId;
if (waitUntilDone) {
@ -159,13 +200,13 @@ export default class FirecrawlApp {
return { success: true, jobId };
}
} else {
this.handleError(response, 'start crawl job');
this.handleError(response, "start crawl job");
}
} catch (error: any) {
console.log(error)
console.log(error);
throw new Error(error.message);
}
return { success: false, error: 'Internal server error.' };
return { success: false, error: "Internal server error." };
}
/**
@ -176,16 +217,23 @@ export default class FirecrawlApp {
async checkCrawlStatus(jobId: string): Promise<JobStatusResponse> {
const headers: AxiosRequestHeaders = this.prepareHeaders();
try {
const response: AxiosResponse = await this.getRequest(`https://api.firecrawl.dev/v0/crawl/status/${jobId}`, headers);
const response: AxiosResponse = await this.getRequest(
`https://api.firecrawl.dev/v0/crawl/status/${jobId}`,
headers
);
if (response.status === 200) {
return response.data;
} else {
this.handleError(response, 'check crawl status');
this.handleError(response, "check crawl status");
}
} catch (error: any) {
throw new Error(error.message);
}
return { success: false, status: 'unknown', error: 'Internal server error.' };
return {
success: false,
status: "unknown",
error: "Internal server error.",
};
}
/**
@ -194,8 +242,8 @@ export default class FirecrawlApp {
*/
prepareHeaders(): AxiosRequestHeaders {
return {
'Content-Type': 'application/json',
'Authorization': `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
Authorization: `Bearer ${this.apiKey}`,
} as AxiosRequestHeaders;
}
@ -206,7 +254,11 @@ export default class FirecrawlApp {
* @param {AxiosRequestHeaders} headers - The headers for the request.
* @returns {Promise<AxiosResponse>} The response from the POST request.
*/
postRequest(url: string, data: Params, headers: AxiosRequestHeaders): Promise<AxiosResponse> {
postRequest(
url: string,
data: Params,
headers: AxiosRequestHeaders
): Promise<AxiosResponse> {
return axios.post(url, data, { headers });
}
@ -216,7 +268,10 @@ export default class FirecrawlApp {
* @param {AxiosRequestHeaders} headers - The headers for the request.
* @returns {Promise<AxiosResponse>} The response from the GET request.
*/
getRequest(url: string, headers: AxiosRequestHeaders): Promise<AxiosResponse> {
getRequest(
url: string,
headers: AxiosRequestHeaders
): Promise<AxiosResponse> {
return axios.get(url, { headers });
}
@ -227,27 +282,38 @@ export default class FirecrawlApp {
* @param {number} timeout - Timeout in seconds for job status checks.
* @returns {Promise<any>} The final job status or data.
*/
async monitorJobStatus(jobId: string, headers: AxiosRequestHeaders, timeout: number): Promise<any> {
async monitorJobStatus(
jobId: string,
headers: AxiosRequestHeaders,
timeout: number
): Promise<any> {
while (true) {
const statusResponse: AxiosResponse = await this.getRequest(`https://api.firecrawl.dev/v0/crawl/status/${jobId}`, headers);
const statusResponse: AxiosResponse = await this.getRequest(
`https://api.firecrawl.dev/v0/crawl/status/${jobId}`,
headers
);
if (statusResponse.status === 200) {
const statusData = statusResponse.data;
if (statusData.status === 'completed') {
if ('data' in statusData) {
if (statusData.status === "completed") {
if ("data" in statusData) {
return statusData.data;
} else {
throw new Error('Crawl job completed but no data was returned');
throw new Error("Crawl job completed but no data was returned");
}
} else if (['active', 'paused', 'pending', 'queued'].includes(statusData.status)) {
} else if (
["active", "paused", "pending", "queued"].includes(statusData.status)
) {
if (timeout < 2) {
timeout = 2;
}
await new Promise(resolve => setTimeout(resolve, timeout * 1000)); // Wait for the specified timeout before checking again
await new Promise((resolve) => setTimeout(resolve, timeout * 1000)); // Wait for the specified timeout before checking again
} else {
throw new Error(`Crawl job failed or was stopped. Status: ${statusData.status}`);
throw new Error(
`Crawl job failed or was stopped. Status: ${statusData.status}`
);
}
} else {
this.handleError(statusResponse, 'check crawl status');
this.handleError(statusResponse, "check crawl status");
}
}
}
@ -259,10 +325,15 @@ export default class FirecrawlApp {
*/
handleError(response: AxiosResponse, action: string): void {
if ([402, 409, 500].includes(response.status)) {
const errorMessage: string = response.data.error || 'Unknown error occurred';
throw new Error(`Failed to ${action}. Status code: ${response.status}. Error: ${errorMessage}`);
const errorMessage: string =
response.data.error || "Unknown error occurred";
throw new Error(
`Failed to ${action}. Status code: ${response.status}. Error: ${errorMessage}`
);
} else {
throw new Error(`Unexpected error occurred while trying to ${action}. Status code: ${response.status}`);
throw new Error(
`Unexpected error occurred while trying to ${action}. Status code: ${response.status}`
);
}
}
}

8
apps/js-sdk/firecrawl/types/index.d.ts vendored
View File

@ -1,4 +1,5 @@
import { AxiosResponse, AxiosRequestHeaders } from 'axios';
import { AxiosResponse, AxiosRequestHeaders } from "axios";
import { z } from "zod";
/**
* Configuration interface for FirecrawlApp.
*/
@ -10,6 +11,11 @@ export interface FirecrawlAppConfig {
*/
export interface Params {
[key: string]: any;
extractorOptions?: {
extractionSchema: z.ZodSchema | any;
mode?: "llm-extraction";
extractionPrompt?: string;
};
}
/**
* Response interface for scraping operations.

673
apps/js-sdk/package-lock.json generated
View File

@ -9,19 +9,480 @@
"version": "1.0.0",
"license": "ISC",
"dependencies": {
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"axios": "^1.6.8"
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"ts-node": "^10.9.2",
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},
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}
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@ -48,6 +509,11 @@
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"integrity": "sha512-dcKFX3jn0MpIaXjisoRvexIJVEKzaq7z2rZKxf+MSr9TkdmHmsU4m2lcLojrj/FHl8mk5VxMmYA+ftRkP/3oKQ=="
},
"node_modules/delayed-stream": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
@ -56,15 +522,50 @@
"node": ">=0.4.0"
}
},
"node_modules/dotenv": {
"version": "16.4.5",
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.5.tgz",
"integrity": "sha512-ZmdL2rui+eB2YwhsWzjInR8LldtZHGDoQ1ugH85ppHKwpUHL7j7rN0Ti9NCnGiQbhaZ11FpR+7ao1dNsmduNUg==",
"node_modules/diff": {
"version": "4.0.2",
"resolved": "https://registry.npmjs.org/diff/-/diff-4.0.2.tgz",
"integrity": "sha512-58lmxKSA4BNyLz+HHMUzlOEpg09FV+ev6ZMe3vJihgdxzgcwZ8VoEEPmALCZG9LmqfVoNMMKpttIYTVG6uDY7A==",
"engines": {
"node": ">=0.3.1"
}
},
"node_modules/esbuild": {
"version": "0.20.2",
"resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.20.2.tgz",
"integrity": "sha512-WdOOppmUNU+IbZ0PaDiTst80zjnrOkyJNHoKupIcVyU8Lvla3Ugx94VzkQ32Ijqd7UhHJy75gNWDMUekcrSJ6g==",
"dev": true,
"hasInstallScript": true,
"bin": {
"esbuild": "bin/esbuild"
},
"engines": {
"node": ">=12"
},
"funding": {
"url": "https://dotenvx.com"
"optionalDependencies": {
"@esbuild/aix-ppc64": "0.20.2",
"@esbuild/android-arm": "0.20.2",
"@esbuild/android-arm64": "0.20.2",
"@esbuild/android-x64": "0.20.2",
"@esbuild/darwin-arm64": "0.20.2",
"@esbuild/darwin-x64": "0.20.2",
"@esbuild/freebsd-arm64": "0.20.2",
"@esbuild/freebsd-x64": "0.20.2",
"@esbuild/linux-arm": "0.20.2",
"@esbuild/linux-arm64": "0.20.2",
"@esbuild/linux-ia32": "0.20.2",
"@esbuild/linux-loong64": "0.20.2",
"@esbuild/linux-mips64el": "0.20.2",
"@esbuild/linux-ppc64": "0.20.2",
"@esbuild/linux-riscv64": "0.20.2",
"@esbuild/linux-s390x": "0.20.2",
"@esbuild/linux-x64": "0.20.2",
"@esbuild/netbsd-x64": "0.20.2",
"@esbuild/openbsd-x64": "0.20.2",
"@esbuild/sunos-x64": "0.20.2",
"@esbuild/win32-arm64": "0.20.2",
"@esbuild/win32-ia32": "0.20.2",
"@esbuild/win32-x64": "0.20.2"
}
},
"node_modules/follow-redirects": {
@ -99,6 +600,37 @@
"node": ">= 6"
}
},
"node_modules/fsevents": {
"version": "2.3.3",
"resolved": "https://registry.npmjs.org/fsevents/-/fsevents-2.3.3.tgz",
"integrity": "sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==",
"dev": true,
"hasInstallScript": true,
"optional": true,
"os": [
"darwin"
],
"engines": {
"node": "^8.16.0 || ^10.6.0 || >=11.0.0"
}
},
"node_modules/get-tsconfig": {
"version": "4.7.4",
"resolved": "https://registry.npmjs.org/get-tsconfig/-/get-tsconfig-4.7.4.tgz",
"integrity": "sha512-ofbkKj+0pjXjhejr007J/fLf+sW+8H7K5GCm+msC8q3IpvgjobpyPqSRFemNyIMxklC0zeJpi7VDFna19FacvQ==",
"dev": true,
"dependencies": {
"resolve-pkg-maps": "^1.0.0"
},
"funding": {
"url": "https://github.com/privatenumber/get-tsconfig?sponsor=1"
}
},
"node_modules/make-error": {
"version": "1.3.6",
"resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz",
"integrity": "sha512-s8UhlNe7vPKomQhC1qFelMokr/Sc3AgNbso3n74mVPA5LTZwkB9NlXf4XPamLxJE8h0gh73rM94xvwRT2CVInw=="
},
"node_modules/mime-db": {
"version": "1.52.0",
"resolved": "https://registry.npmjs.org/mime-db/-/mime-db-1.52.0.tgz",
@ -122,6 +654,123 @@
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/proxy-from-env/-/proxy-from-env-1.1.0.tgz",
"integrity": "sha512-D+zkORCbA9f1tdWRK0RaCR3GPv50cMxcrz4X8k5LTSUD1Dkw47mKJEZQNunItRTkWwgtaUSo1RVFRIG9ZXiFYg=="
},
"node_modules/resolve-pkg-maps": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/resolve-pkg-maps/-/resolve-pkg-maps-1.0.0.tgz",
"integrity": "sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw==",
"dev": true,
"funding": {
"url": "https://github.com/privatenumber/resolve-pkg-maps?sponsor=1"
}
},
"node_modules/ts-node": {
"version": "10.9.2",
"resolved": "https://registry.npmjs.org/ts-node/-/ts-node-10.9.2.tgz",
"integrity": "sha512-f0FFpIdcHgn8zcPSbf1dRevwt047YMnaiJM3u2w2RewrB+fob/zePZcrOyQoLMMO7aBIddLcQIEK5dYjkLnGrQ==",
"dependencies": {
"@cspotcode/source-map-support": "^0.8.0",
"@tsconfig/node10": "^1.0.7",
"@tsconfig/node12": "^1.0.7",
"@tsconfig/node14": "^1.0.0",
"@tsconfig/node16": "^1.0.2",
"acorn": "^8.4.1",
"acorn-walk": "^8.1.1",
"arg": "^4.1.0",
"create-require": "^1.1.0",
"diff": "^4.0.1",
"make-error": "^1.1.1",
"v8-compile-cache-lib": "^3.0.1",
"yn": "3.1.1"
},
"bin": {
"ts-node": "dist/bin.js",
"ts-node-cwd": "dist/bin-cwd.js",
"ts-node-esm": "dist/bin-esm.js",
"ts-node-script": "dist/bin-script.js",
"ts-node-transpile-only": "dist/bin-transpile.js",
"ts-script": "dist/bin-script-deprecated.js"
},
"peerDependencies": {
"@swc/core": ">=1.2.50",
"@swc/wasm": ">=1.2.50",
"@types/node": "*",
"typescript": ">=2.7"
},
"peerDependenciesMeta": {
"@swc/core": {
"optional": true
},
"@swc/wasm": {
"optional": true
}
}
},
"node_modules/tsx": {
"version": "4.9.3",
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"dev": true,
"dependencies": {
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"get-tsconfig": "^4.7.3"
},
"bin": {
"tsx": "dist/cli.mjs"
},
"engines": {
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},
"optionalDependencies": {
"fsevents": "~2.3.3"
}
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"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
},
"engines": {
"node": ">=14.17"
}
},
"node_modules/undici-types": {
"version": "5.26.5",
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"integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
"peer": true
},
"node_modules/v8-compile-cache-lib": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/v8-compile-cache-lib/-/v8-compile-cache-lib-3.0.1.tgz",
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},
"node_modules/yn": {
"version": "3.1.1",
"resolved": "https://registry.npmjs.org/yn/-/yn-3.1.1.tgz",
"integrity": "sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==",
"engines": {
"node": ">=6"
}
},
"node_modules/zod": {
"version": "3.23.8",
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"integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==",
"funding": {
"url": "https://github.com/sponsors/colinhacks"
}
},
"node_modules/zod-to-json-schema": {
"version": "3.23.0",
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.23.0.tgz",
"integrity": "sha512-az0uJ243PxsRIa2x1WmNE/pnuA05gUq/JB8Lwe1EDCCL/Fz9MgjYQ0fPlyc2Tcv6aF2ZA7WM5TWaRZVEFaAIag==",
"peerDependencies": {
"zod": "^3.23.3"
}
}
}
}

10
apps/js-sdk/package.json
View File

@ -11,7 +11,13 @@
"author": "",
"license": "ISC",
"dependencies": {
"@mendable/firecrawl-js": "^0.0.15",
"axios": "^1.6.8"
"@mendable/firecrawl-js": "^0.0.19",
"axios": "^1.6.8",
"ts-node": "^10.9.2",
"typescript": "^5.4.5",
"zod": "^3.23.8"
},
"devDependencies": {
"tsx": "^4.9.3"
}
}

28
apps/js-sdk/test.ts Normal file
View File

@ -0,0 +1,28 @@
import FirecrawlApp from "@mendable/firecrawl-js";
import { z } from "zod";
async function a() {
const app = new FirecrawlApp({
apiKey: "fc-YOUR_API_KEY",
});
// Define schema to extract contents into
const schema = z.object({
top: z
.array(
z.object({
title: z.string(),
points: z.number(),
by: z.string(),
commentsURL: z.string(),
})
)
.length(5)
.describe("Top 5 stories on Hacker News"),
});
const scrapeResult = await app.scrapeUrl("https://firecrawl.dev", {
extractorOptions: { extractionSchema: schema },
});
console.log(scrapeResult.data["llm_extraction"]);
}
a();

72
apps/js-sdk/tsconfig.json Normal file
View File

@ -0,0 +1,72 @@
{
"compilerOptions": {
/* Visit https://aka.ms/tsconfig.json to read more about this file */
/* Basic Options */
// "incremental": true, /* Enable incremental compilation */
"target": "es6" /* Specify ECMAScript target version: 'ES3' (default), 'ES5', 'ES2015', 'ES2016', 'ES2017', 'ES2018', 'ES2019', 'ES2020', or 'ESNEXT'. */,
"module": "commonjs" /* Specify module code generation: 'none', 'commonjs', 'amd', 'system', 'umd', 'es2015', 'es2020', or 'ESNext'. */,
// "lib": [], /* Specify library files to be included in the compilation. */
// "allowJs": true, /* Allow javascript files to be compiled. */
// "checkJs": true, /* Report errors in .js files. */
// "jsx": "preserve", /* Specify JSX code generation: 'preserve', 'react-native', or 'react'. */
"declaration": true /* Generates corresponding '.d.ts' file. */,
// "declarationMap": true, /* Generates a sourcemap for each corresponding '.d.ts' file. */
// "sourceMap": true, /* Generates corresponding '.map' file. */
// "outFile": "./", /* Concatenate and emit output to single file. */
"outDir": "./build" /* Redirect output structure to the directory. */,
// "rootDir": "./", /* Specify the root directory of input files. Use to control the output directory structure with --outDir. */
// "composite": true, /* Enable project compilation */
// "tsBuildInfoFile": "./", /* Specify file to store incremental compilation information */
// "removeComments": true, /* Do not emit comments to output. */
// "noEmit": true, /* Do not emit outputs. */
// "importHelpers": true, /* Import emit helpers from 'tslib'. */
// "downlevelIteration": true, /* Provide full support for iterables in 'for-of', spread, and destructuring when targeting 'ES5' or 'ES3'. */
// "isolatedModules": true, /* Transpile each file as a separate module (similar to 'ts.transpileModule'). */
/* Strict Type-Checking Options */
"strict": false /* Enable all strict type-checking options. */,
// "noImplicitAny": true, /* Raise error on expressions and declarations with an implied 'any' type. */
// "strictNullChecks": true, /* Enable strict null checks. */
// "strictFunctionTypes": true, /* Enable strict checking of function types. */
// "strictBindCallApply": true, /* Enable strict 'bind', 'call', and 'apply' methods on functions. */
// "strictPropertyInitialization": true, /* Enable strict checking of property initialization in classes. */
// "noImplicitThis": true, /* Raise error on 'this' expressions with an implied 'any' type. */
// "alwaysStrict": true, /* Parse in strict mode and emit "use strict" for each source file. */
/* Additional Checks */
// "noUnusedLocals": true, /* Report errors on unused locals. */
// "noUnusedParameters": true, /* Report errors on unused parameters. */
// "noImplicitReturns": true, /* Report error when not all code paths in function return a value. */
// "noFallthroughCasesInSwitch": true, /* Report errors for fallthrough cases in switch statement. */
/* Module Resolution Options */
// "moduleResolution": "node", /* Specify module resolution strategy: 'node' (Node.js) or 'classic' (TypeScript pre-1.6). */
// "baseUrl": "./", /* Base directory to resolve non-absolute module names. */
// "paths": {}, /* A series of entries which re-map imports to lookup locations relative to the 'baseUrl'. */
// "rootDirs": [], /* List of root folders whose combined content represents the structure of the project at runtime. */
// "typeRoots": [], /* List of folders to include type definitions from. */
// "types": [], /* Type declaration files to be included in compilation. */
// "allowSyntheticDefaultImports": true, /* Allow default imports from modules with no default export. This does not affect code emit, just typechecking. */
"resolveJsonModule": true,
"esModuleInterop": true /* Enables emit interoperability between CommonJS and ES Modules via creation of namespace objects for all imports. Implies 'allowSyntheticDefaultImports'. */,
// "preserveSymlinks": true, /* Do not resolve the real path of symlinks. */
// "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */
/* Source Map Options */
// "sourceRoot": "", /* Specify the location where debugger should locate TypeScript files instead of source locations. */
// "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */
// "inlineSourceMap": true, /* Emit a single file with source maps instead of having a separate file. */
// "inlineSources": true, /* Emit the source alongside the sourcemaps within a single file; requires '--inlineSourceMap' or '--sourceMap' to be set. */
/* Experimental Options */
// "experimentalDecorators": true, /* Enables experimental support for ES7 decorators. */
// "emitDecoratorMetadata": true, /* Enables experimental support for emitting type metadata for decorators. */
/* Advanced Options */
"skipLibCheck": true /* Skip type checking of declaration files. */,
"forceConsistentCasingInFileNames": true /* Disallow inconsistently-cased references to the same file. */
},
"include": ["src", "test.ts"],
"exclude": ["node_modules", "**/__tests__/*"]
}

6
apps/playwright-service/main.py
View File

@ -5,9 +5,9 @@ from pydantic import BaseModel
app = FastAPI()
class UrlModel(BaseModel):
url: str
wait: int = None
browser: Browser = None
@ -29,7 +29,9 @@ async def shutdown_event():
async def root(body: UrlModel):
context = await browser.new_context()
page = await context.new_page()
await page.goto(body.url)
await page.goto(body.url, timeout=15000) # Set max timeout to 15s
if body.wait: # Check if wait parameter is provided in the request body
await page.wait_for_timeout(body.wait) # Convert seconds to milliseconds for playwright
page_content = await page.content()
await context.close()
json_compatible_item_data = {"content": page_content}

25
apps/python-sdk/README.md
View File

@ -46,6 +46,31 @@ To scrape a single URL, use the `scrape_url` method. It takes the URL as a param
url = 'https://example.com'
scraped_data = app.scrape_url(url)
```
### Extracting structured data from a URL
With LLM extraction, you can easily extract structured data from any URL. We support pydantic schemas to make it easier for you too. Here is how you to use it:
```python
class ArticleSchema(BaseModel):
title: str
points: int
by: str
commentsURL: str
class TopArticlesSchema(BaseModel):
top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
data = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': TopArticlesSchema.model_json_schema(),
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(data["llm_extraction"])
```
### Search for a query

53
apps/python-sdk/build/lib/firecrawl/firecrawl.py
View File

@ -1,5 +1,7 @@
import os
from typing import Any, Dict, Optional
import requests
import time
class FirecrawlApp:
def __init__(self, api_key=None):
@ -7,26 +9,45 @@ class FirecrawlApp:
if self.api_key is None:
raise ValueError('No API key provided')
def scrape_url(self, url, params=None):
def scrape_url(self, url: str, params: Optional[Dict[str, Any]] = None) -> Any:
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}'
}
json_data = {'url': url}
# Prepare the base scrape parameters with the URL
scrape_params = {'url': url}
# If there are additional params, process them
if params:
json_data.update(params)
# Initialize extractorOptions if present
extractor_options = params.get('extractorOptions', {})
# Check and convert the extractionSchema if it's a Pydantic model
if 'extractionSchema' in extractor_options:
if hasattr(extractor_options['extractionSchema'], 'schema'):
extractor_options['extractionSchema'] = extractor_options['extractionSchema'].schema()
# Ensure 'mode' is set, defaulting to 'llm-extraction' if not explicitly provided
extractor_options['mode'] = extractor_options.get('mode', 'llm-extraction')
# Update the scrape_params with the processed extractorOptions
scrape_params['extractorOptions'] = extractor_options
# Include any other params directly at the top level of scrape_params
for key, value in params.items():
if key != 'extractorOptions':
scrape_params[key] = value
# Make the POST request with the prepared headers and JSON data
response = requests.post(
'https://api.firecrawl.dev/v0/scrape',
headers=headers,
json=json_data
json=scrape_params
)
if response.status_code == 200:
response = response.json()
if response['success'] == True:
if response['success']:
return response['data']
else:
raise Exception(f'Failed to scrape URL. Error: {response["error"]}')
elif response.status_code in [402, 409, 500]:
error_message = response.json().get('error', 'Unknown error occurred')
raise Exception(f'Failed to scrape URL. Status code: {response.status_code}. Error: {error_message}')
@ -88,11 +109,23 @@ class FirecrawlApp:
'Authorization': f'Bearer {self.api_key}'
}
def _post_request(self, url, data, headers):
return requests.post(url, headers=headers, json=data)
def _post_request(self, url, data, headers, retries=3, backoff_factor=0.5):
for attempt in range(retries):
response = requests.post(url, headers=headers, json=data)
if response.status_code == 502:
time.sleep(backoff_factor * (2 ** attempt))
else:
return response
return response
def _get_request(self, url, headers):
return requests.get(url, headers=headers)
def _get_request(self, url, headers, retries=3, backoff_factor=0.5):
for attempt in range(retries):
response = requests.get(url, headers=headers)
if response.status_code == 502:
time.sleep(backoff_factor * (2 ** attempt))
else:
return response
return response
def _monitor_job_status(self, job_id, headers, timeout):
import time

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72
apps/python-sdk/example.py
View File

@ -1,13 +1,73 @@
from firecrawl import FirecrawlApp
app = FirecrawlApp(api_key="fc-YOUR_API_KEY")
app = FirecrawlApp(api_key="YOUR_API_KEY")
# Scrape a website:
scrape_result = app.scrape_url('firecrawl.dev')
print(scrape_result['markdown'])
# Crawl a website:
crawl_result = app.crawl_url('mendable.ai', {'crawlerOptions': {'excludes': ['blog/*']}})
print(crawl_result[0]['markdown'])
print(crawl_result)
job_id = crawl_result['jobId']
print(job_id)
# LLM Extraction:
# Define schema to extract contents into using pydantic
from pydantic import BaseModel, Field
from typing import List
status = app.check_crawl_status(job_id)
print(status)
class ArticleSchema(BaseModel):
title: str
points: int
by: str
commentsURL: str
class TopArticlesSchema(BaseModel):
top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
llm_extraction_result = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': TopArticlesSchema.model_json_schema(),
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(llm_extraction_result['llm_extraction'])
# Define schema to extract contents into using json schema
json_schema = {
"type": "object",
"properties": {
"top": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {"type": "string"},
"points": {"type": "number"},
"by": {"type": "string"},
"commentsURL": {"type": "string"}
},
"required": ["title", "points", "by", "commentsURL"]
},
"minItems": 5,
"maxItems": 5,
"description": "Top 5 stories on Hacker News"
}
},
"required": ["top"]
}
llm_extraction_result = app.scrape_url('https://news.ycombinator.com', {
'extractorOptions': {
'extractionSchema': json_schema,
'mode': 'llm-extraction'
},
'pageOptions':{
'onlyMainContent': True
}
})
print(llm_extraction_result['llm_extraction'])

32
apps/python-sdk/firecrawl/firecrawl.py
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@ -1,4 +1,5 @@
import os
from typing import Any, Dict, Optional
import requests
import time
@ -8,26 +9,45 @@ class FirecrawlApp:
if self.api_key is None:
raise ValueError('No API key provided')
def scrape_url(self, url, params=None):
def scrape_url(self, url: str, params: Optional[Dict[str, Any]] = None) -> Any:
headers = {
'Content-Type': 'application/json',
'Authorization': f'Bearer {self.api_key}'
}
json_data = {'url': url}
# Prepare the base scrape parameters with the URL
scrape_params = {'url': url}
# If there are additional params, process them
if params:
json_data.update(params)
# Initialize extractorOptions if present
extractor_options = params.get('extractorOptions', {})
# Check and convert the extractionSchema if it's a Pydantic model
if 'extractionSchema' in extractor_options:
if hasattr(extractor_options['extractionSchema'], 'schema'):
extractor_options['extractionSchema'] = extractor_options['extractionSchema'].schema()
# Ensure 'mode' is set, defaulting to 'llm-extraction' if not explicitly provided
extractor_options['mode'] = extractor_options.get('mode', 'llm-extraction')
# Update the scrape_params with the processed extractorOptions
scrape_params['extractorOptions'] = extractor_options
# Include any other params directly at the top level of scrape_params
for key, value in params.items():
if key != 'extractorOptions':
scrape_params[key] = value
# Make the POST request with the prepared headers and JSON data
response = requests.post(
'https://api.firecrawl.dev/v0/scrape',
headers=headers,
json=json_data
json=scrape_params
)
if response.status_code == 200:
response = response.json()
if response['success'] == True:
if response['success']:
return response['data']
else:
raise Exception(f'Failed to scrape URL. Error: {response["error"]}')
elif response.status_code in [402, 409, 500]:
error_message = response.json().get('error', 'Unknown error occurred')
raise Exception(f'Failed to scrape URL. Status code: {response.status_code}. Error: {error_message}')

2
apps/python-sdk/firecrawl_py.egg-info/PKG-INFO
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@ -1,6 +1,6 @@
Metadata-Version: 2.1
Name: firecrawl-py
Version: 0.0.6
Version: 0.0.8
Summary: Python SDK for Firecrawl API
Home-page: https://github.com/mendableai/firecrawl
Author: Mendable.ai

2
apps/python-sdk/setup.py
View File

@ -2,7 +2,7 @@ from setuptools import setup, find_packages
setup(
name='firecrawl-py',
version='0.0.6',
version='0.0.8',
url='https://github.com/mendableai/firecrawl',
author='Mendable.ai',
author_email='nick@mendable.ai',

5
apps/test-suite/.env.example Normal file
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@ -0,0 +1,5 @@
OPENAI_API_KEY=
TEST_API_KEY=
TEST_URL=http://localhost:3002
ANTHROPIC_API_KEY=
ENV=

43
apps/test-suite/README.md Normal file
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@ -0,0 +1,43 @@
# Test Suite for Firecrawl
This document provides an overview of the test suite for the Firecrawl project. It includes instructions on how to run the tests and interpret the results.
## Overview
The test suite is designed to ensure the reliability and performance of the Firecrawl system. It includes a series of automated tests that check various functionalities and performance metrics.
## Running the Tests
To run the tests, navigate to the `test-suite` directory and execute the following command:
```bash
npm install
npx playwright install
npm run test
```
## Test Results
The tests are designed to cover various aspects of the system, including:
- Crawling accuracy
- Response time
- Error handling
### Example Test Case
- **Test Name**: Accuracy Test
- **Description**: This test checks the accuracy of the scraping mechanism with 100 pages and a fuzzy threshold of 0.8.
- **Expected Result**: Accuracy >= 0.9
- **Received Result**: Accuracy between 0.2 and 0.3
## Troubleshooting
If you encounter any failures or unexpected results, please check the following:
- Ensure your network connection is stable.
- Verify that all dependencies are correctly installed.
- Review the error logs for any specific error messages.
## Contributing
Contributions to the test suite are welcome. Please refer to the project's main [CONTRIBUTING.md](../CONTRIBUTING.md) file for guidelines on how to contribute.

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[
{
"website": "https://www.anthropic.com/claude",
"prompt": "Does this website contain pricing information?",
"expected_output": "yes"
},
{
"website": "https://mendable.ai/pricing",
"prompt": "Does this website contain pricing information?",
"expected_output": "yes"
},
{
"website": "https://openai.com/news",
"prompt": "Does this website contain a list of research news?",
"expected_output": "yes"
},
{
"website": "https://agentops.ai",
"prompt": "Does this website contain a code snippets?",
"expected_output": "yes"
},
{
"website": "https://ycombinator.com/companies",
"prompt": "Does this website contain a list bigger than 5 of ycombinator companies?",
"expected_output": "yes"
},
{
"website": "https://firecrawl.dev",
"prompt": "Does this website contain a list bigger than 5 of ycombinator companies?",
"expected_output": "no"
},
{
"website": "https://en.wikipedia.org/wiki/T._N._Seshan",
"prompt": "Does this website talk about Seshan's career?",
"expected_output": "yes"
},
{
"website": "https://mendable.ai/blog",
"prompt": "Does this website contain multiple blog articles?",
"expected_output": "yes"
},
{
"website": "https://www.framer.com/pricing",
"prompt": "Is there an enterprise pricing option?",
"expected_output": "yes"
},
{
"website": "https://fly.io/docs/gpus/gpu-quickstart",
"prompt": "Is there a fly deploy command on this page?",
"expected_output": "yes"
},
{
"website": "https://news.ycombinator.com/",
"prompt": "Does this website contain a list of articles in a table markdown format?",
"expected_output": "yes"
},
{
"website": "https://www.vellum.ai/llm-leaderboard",
"prompt": "Does this website contain a model comparison table?",
"expected_output": "yes"
},
{
"website": "https://www.bigbadtoystore.com",
"prompt": "are there more than 3 toys in the new arrivals section?",
"expected_output": "yes"
},
{
"website": "https://www.instructables.com",
"prompt": "Does the site offer more than 5 links about circuits?",
"expected_output": "yes"
},
{
"website": "https://www.powells.com",
"prompt": "is there at least 10 books webpage links?",
"expected_output": "yes"
},
{
"website": "https://www.royalacademy.org.uk",
"prompt": "is there information on upcoming art exhibitions?",
"expected_output": "yes"
},
{
"website": "https://www.eastbaytimes.com",
"prompt": "Is there a Trending Nationally section that lists articles?",
"expected_output": "yes"
},
{
"website": "https://www.manchestereveningnews.co.uk",
"prompt": "is the content focused on Manchester sports news?",
"expected_output": "no"
},
{
"website": "https://physicsworld.com",
"prompt": "does the site provide at least 15 updates on the latest physics research?",
"expected_output": "yes"
},
{
"website": "https://richmondconfidential.org",
"prompt": "does the page contains more than 4 articles?",
"expected_output": "yes"
},
{
"website": "https://www.techinasia.com",
"prompt": "is there at least 10 articles of the startup scene in Asia?",
"expected_output": "yes",
"notes": "The website has a paywall and bot detectors."
},
{
"website": "https://www.boardgamegeek.com",
"prompt": "are there more than 5 board game news?",
"expected_output": "yes"
},
{
"website": "https://www.mountainproject.com",
"prompt": "Are there more than 3 climbing guides for Arizona?",
"expected_output": "yes"
}
]

189
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import request from "supertest";
import dotenv from "dotenv";
import Anthropic from "@anthropic-ai/sdk";
import { numTokensFromString } from "./utils/tokens";
import OpenAI from "openai";
import { WebsiteScrapeError } from "./utils/types";
import { logErrors } from "./utils/log";
const websitesData = require("./data/websites.json");
import "dotenv/config";
const fs = require('fs');
dotenv.config();
interface WebsiteData {
website: string;
prompt: string;
expected_output: string;
}
const TEST_URL = "http://127.0.0.1:3002";
describe("Scraping/Crawling Checkup (E2E)", () => {
beforeAll(() => {
if (!process.env.TEST_API_KEY) {
throw new Error("TEST_API_KEY is not set");
}
if (!process.env.OPENAI_API_KEY) {
throw new Error("OPENAI_API_KEY is not set");
}
});
describe("Scraping website tests with a dataset", () => {
it("Should scrape the website and prompt it against OpenAI", async () => {
let passedTests = 0;
const batchSize = 15; // Adjusted to comply with the rate limit of 15 per minute
const batchPromises = [];
let totalTokens = 0;
const startTime = new Date().getTime();
const date = new Date();
const logsDir = `logs/${date.getMonth() + 1}-${date.getDate()}-${date.getFullYear()}`;
let errorLogFileName = `${logsDir}/run.log_${new Date().toTimeString().split(' ')[0]}`;
const errorLog: WebsiteScrapeError[] = [];
for (let i = 0; i < websitesData.length; i += batchSize) {
// Introducing delay to respect the rate limit of 15 requests per minute
await new Promise(resolve => setTimeout(resolve, 10000));
const batch = websitesData.slice(i, i + batchSize);
const batchPromise = Promise.all(
batch.map(async (websiteData: WebsiteData) => {
try {
const scrapedContent = await request(TEST_URL || "")
.post("/v0/scrape")
.set("Content-Type", "application/json")
.set("Authorization", `Bearer ${process.env.TEST_API_KEY}`)
.send({ url: websiteData.website, pageOptions: { onlyMainContent: true } });
if (scrapedContent.statusCode !== 200) {
console.error(`Failed to scrape ${websiteData.website} ${scrapedContent.statusCode}`);
errorLog.push({
website: websiteData.website,
prompt: websiteData.prompt,
expected_output: websiteData.expected_output,
actual_output: "",
error: `Failed to scrape website. ${scrapedContent.statusCode} ${scrapedContent.body.error}`
});
return null;
}
const anthropic = new Anthropic({
apiKey: process.env.ANTHROPIC_API_KEY,
});
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
});
const prompt = `Based on this markdown extracted from a website html page, ${websiteData.prompt} Just say 'yes' or 'no' to the question.\nWebsite markdown: ${scrapedContent.body.data.markdown}\n`;
let msg = null;
const maxRetries = 3;
let attempts = 0;
while (!msg && attempts < maxRetries) {
try {
msg = await openai.chat.completions.create({
model: "gpt-4-turbo",
max_tokens: 100,
temperature: 0,
messages: [
{
role: "user",
content: prompt
},
],
});
} catch (error) {
console.error(`Attempt ${attempts + 1}: Failed to prompt for ${websiteData.website}, error: ${error}`);
attempts++;
if (attempts < maxRetries) {
console.log(`Retrying... Attempt ${attempts + 1}`);
await new Promise(resolve => setTimeout(resolve, 2000)); // Wait for 2 seconds before retrying
}
}
}
if (!msg) {
console.error(`Failed to prompt for ${websiteData.website} after ${maxRetries} attempts`);
errorLog.push({
website: websiteData.website,
prompt: websiteData.prompt,
expected_output: websiteData.expected_output,
actual_output: "",
error: "Failed to prompt... model error."
});
return null;
}
const actualOutput = (msg.choices[0].message.content ?? "").toLowerCase()
const expectedOutput = websiteData.expected_output.toLowerCase();
const numTokens = numTokensFromString(prompt,"gpt-4") + numTokensFromString(actualOutput,"gpt-4");
totalTokens += numTokens;
if (actualOutput.includes(expectedOutput)) {
passedTests++;
} else {
console.error(
`This website failed the test: ${websiteData.website}`
);
console.error(`Actual output: ${actualOutput}`);
errorLog.push({
website: websiteData.website,
prompt: websiteData.prompt,
expected_output: websiteData.expected_output,
actual_output: actualOutput,
error: "Output mismatch"
});
}
return {
website: websiteData.website,
prompt: websiteData.prompt,
expectedOutput,
actualOutput,
};
} catch (error) {
console.error(
`Error processing ${websiteData.website}: ${error}`
);
errorLog.push({
website: websiteData.website,
prompt: websiteData.prompt,
expected_output: websiteData.expected_output,
actual_output: "",
error: `Error processing ${websiteData.website}: ${error}`
});
return null;
}
})
);
batchPromises.push(batchPromise);
}
(await Promise.all(batchPromises)).flat();
const score = (passedTests / websitesData.length) * 100;
const endTime = new Date().getTime();
const timeTaken = (endTime - startTime) / 1000;
console.log(`Score: ${score}%`);
console.log(`Total tokens: ${totalTokens}`);
await logErrors(errorLog, timeTaken, totalTokens, score, websitesData.length);
if (process.env.ENV === "local" && errorLog.length > 0) {
if (!fs.existsSync(logsDir)){
fs.mkdirSync(logsDir, { recursive: true });
}
fs.writeFileSync(errorLogFileName, JSON.stringify(errorLog, null, 2));
}
expect(score).toBeGreaterThanOrEqual(75);
}, 350000); // 150 seconds timeout
});
});

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@ -0,0 +1,5 @@
module.exports = {
preset: "ts-jest",
testEnvironment: "node",
setupFiles: ["./jest.setup.js"],
};

0
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26
apps/test-suite/package.json Normal file
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@ -0,0 +1,26 @@
{
"name": "test-suite",
"version": "1.0.0",
"description": "",
"scripts": {
"test": "npx jest --detectOpenHandles --forceExit --openHandlesTimeout=120000 --watchAll=false"
},
"author": "",
"license": "ISC",
"dependencies": {
"@anthropic-ai/sdk": "^0.20.8",
"@dqbd/tiktoken": "^1.0.14",
"@supabase/supabase-js": "^2.43.1",
"dotenv": "^16.4.5",
"jest": "^29.7.0",
"openai": "^4.40.2",
"playwright": "^1.43.1",
"supertest": "^7.0.0",
"ts-jest": "^29.1.2"
},
"devDependencies": {
"@types/jest": "^29.5.12",
"@types/supertest": "^6.0.2",
"typescript": "^5.4.5"
}
}

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@ -0,0 +1,109 @@
{
"compilerOptions": {
/* Visit https://aka.ms/tsconfig to read more about this file */
/* Projects */
// "incremental": true, /* Save .tsbuildinfo files to allow for incremental compilation of projects. */
// "composite": true, /* Enable constraints that allow a TypeScript project to be used with project references. */
// "tsBuildInfoFile": "./.tsbuildinfo", /* Specify the path to .tsbuildinfo incremental compilation file. */
// "disableSourceOfProjectReferenceRedirect": true, /* Disable preferring source files instead of declaration files when referencing composite projects. */
// "disableSolutionSearching": true, /* Opt a project out of multi-project reference checking when editing. */
// "disableReferencedProjectLoad": true, /* Reduce the number of projects loaded automatically by TypeScript. */
/* Language and Environment */
"target": "es2016", /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */
// "lib": [], /* Specify a set of bundled library declaration files that describe the target runtime environment. */
// "jsx": "preserve", /* Specify what JSX code is generated. */
// "experimentalDecorators": true, /* Enable experimental support for legacy experimental decorators. */
// "emitDecoratorMetadata": true, /* Emit design-type metadata for decorated declarations in source files. */
// "jsxFactory": "", /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h'. */
// "jsxFragmentFactory": "", /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */
// "jsxImportSource": "", /* Specify module specifier used to import the JSX factory functions when using 'jsx: react-jsx*'. */
// "reactNamespace": "", /* Specify the object invoked for 'createElement'. This only applies when targeting 'react' JSX emit. */
// "noLib": true, /* Disable including any library files, including the default lib.d.ts. */
// "useDefineForClassFields": true, /* Emit ECMAScript-standard-compliant class fields. */
// "moduleDetection": "auto", /* Control what method is used to detect module-format JS files. */
/* Modules */
"module": "commonjs", /* Specify what module code is generated. */
// "rootDir": "./", /* Specify the root folder within your source files. */
// "moduleResolution": "node10", /* Specify how TypeScript looks up a file from a given module specifier. */
// "baseUrl": "./", /* Specify the base directory to resolve non-relative module names. */
// "paths": {}, /* Specify a set of entries that re-map imports to additional lookup locations. */
// "rootDirs": [], /* Allow multiple folders to be treated as one when resolving modules. */
// "typeRoots": [], /* Specify multiple folders that act like './node_modules/@types'. */
// "types": [], /* Specify type package names to be included without being referenced in a source file. */
// "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */
// "moduleSuffixes": [], /* List of file name suffixes to search when resolving a module. */
// "allowImportingTsExtensions": true, /* Allow imports to include TypeScript file extensions. Requires '--moduleResolution bundler' and either '--noEmit' or '--emitDeclarationOnly' to be set. */
// "resolvePackageJsonExports": true, /* Use the package.json 'exports' field when resolving package imports. */
// "resolvePackageJsonImports": true, /* Use the package.json 'imports' field when resolving imports. */
// "customConditions": [], /* Conditions to set in addition to the resolver-specific defaults when resolving imports. */
// "resolveJsonModule": true, /* Enable importing .json files. */
// "allowArbitraryExtensions": true, /* Enable importing files with any extension, provided a declaration file is present. */
// "noResolve": true, /* Disallow 'import's, 'require's or '<reference>'s from expanding the number of files TypeScript should add to a project. */
/* JavaScript Support */
// "allowJs": true, /* Allow JavaScript files to be a part of your program. Use the 'checkJS' option to get errors from these files. */
// "checkJs": true, /* Enable error reporting in type-checked JavaScript files. */
// "maxNodeModuleJsDepth": 1, /* Specify the maximum folder depth used for checking JavaScript files from 'node_modules'. Only applicable with 'allowJs'. */
/* Emit */
// "declaration": true, /* Generate .d.ts files from TypeScript and JavaScript files in your project. */
// "declarationMap": true, /* Create sourcemaps for d.ts files. */
// "emitDeclarationOnly": true, /* Only output d.ts files and not JavaScript files. */
// "sourceMap": true, /* Create source map files for emitted JavaScript files. */
// "inlineSourceMap": true, /* Include sourcemap files inside the emitted JavaScript. */
// "outFile": "./", /* Specify a file that bundles all outputs into one JavaScript file. If 'declaration' is true, also designates a file that bundles all .d.ts output. */
// "outDir": "./", /* Specify an output folder for all emitted files. */
// "removeComments": true, /* Disable emitting comments. */
// "noEmit": true, /* Disable emitting files from a compilation. */
// "importHelpers": true, /* Allow importing helper functions from tslib once per project, instead of including them per-file. */
// "importsNotUsedAsValues": "remove", /* Specify emit/checking behavior for imports that are only used for types. */
// "downlevelIteration": true, /* Emit more compliant, but verbose and less performant JavaScript for iteration. */
// "sourceRoot": "", /* Specify the root path for debuggers to find the reference source code. */
// "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */
// "inlineSources": true, /* Include source code in the sourcemaps inside the emitted JavaScript. */
// "emitBOM": true, /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */
// "newLine": "crlf", /* Set the newline character for emitting files. */
// "stripInternal": true, /* Disable emitting declarations that have '@internal' in their JSDoc comments. */
// "noEmitHelpers": true, /* Disable generating custom helper functions like '__extends' in compiled output. */
// "noEmitOnError": true, /* Disable emitting files if any type checking errors are reported. */
// "preserveConstEnums": true, /* Disable erasing 'const enum' declarations in generated code. */
// "declarationDir": "./", /* Specify the output directory for generated declaration files. */
// "preserveValueImports": true, /* Preserve unused imported values in the JavaScript output that would otherwise be removed. */
/* Interop Constraints */
// "isolatedModules": true, /* Ensure that each file can be safely transpiled without relying on other imports. */
// "verbatimModuleSyntax": true, /* Do not transform or elide any imports or exports not marked as type-only, ensuring they are written in the output file's format based on the 'module' setting. */
// "allowSyntheticDefaultImports": true, /* Allow 'import x from y' when a module doesn't have a default export. */
"esModuleInterop": true, /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables 'allowSyntheticDefaultImports' for type compatibility. */
// "preserveSymlinks": true, /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */
"forceConsistentCasingInFileNames": true, /* Ensure that casing is correct in imports. */
/* Type Checking */
"strict": true, /* Enable all strict type-checking options. */
// "noImplicitAny": true, /* Enable error reporting for expressions and declarations with an implied 'any' type. */
// "strictNullChecks": true, /* When type checking, take into account 'null' and 'undefined'. */
// "strictFunctionTypes": true, /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */
// "strictBindCallApply": true, /* Check that the arguments for 'bind', 'call', and 'apply' methods match the original function. */
// "strictPropertyInitialization": true, /* Check for class properties that are declared but not set in the constructor. */
// "noImplicitThis": true, /* Enable error reporting when 'this' is given the type 'any'. */
// "useUnknownInCatchVariables": true, /* Default catch clause variables as 'unknown' instead of 'any'. */
// "alwaysStrict": true, /* Ensure 'use strict' is always emitted. */
// "noUnusedLocals": true, /* Enable error reporting when local variables aren't read. */
// "noUnusedParameters": true, /* Raise an error when a function parameter isn't read. */
// "exactOptionalPropertyTypes": true, /* Interpret optional property types as written, rather than adding 'undefined'. */
// "noImplicitReturns": true, /* Enable error reporting for codepaths that do not explicitly return in a function. */
// "noFallthroughCasesInSwitch": true, /* Enable error reporting for fallthrough cases in switch statements. */
// "noUncheckedIndexedAccess": true, /* Add 'undefined' to a type when accessed using an index. */
// "noImplicitOverride": true, /* Ensure overriding members in derived classes are marked with an override modifier. */
// "noPropertyAccessFromIndexSignature": true, /* Enforces using indexed accessors for keys declared using an indexed type. */
// "allowUnusedLabels": true, /* Disable error reporting for unused labels. */
// "allowUnreachableCode": true, /* Disable error reporting for unreachable code. */
/* Completeness */
// "skipDefaultLibCheck": true, /* Skip type checking .d.ts files that are included with TypeScript. */
"skipLibCheck": true /* Skip type checking all .d.ts files. */
}
}

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import { supabase_service } from "./supabase";
import { WebsiteScrapeError } from "./types";
export async function logErrors(dataError: WebsiteScrapeError[], time_taken: number, num_tokens:number, score: number, num_pages_tested: number,) {
try {
await supabase_service.from("test_suite_logs").insert([{log:dataError, time_taken, num_tokens, score, num_pages_tested, is_error: dataError.length > 0}]);
} catch (error) {
console.error(`Error logging to supabase: ${error}`);
}
}

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const getRandomLinksFromContent = async (options: {
content: string;
excludes: string[];
limit: number;
}): Promise<string[]> => {
const regex = /(?<=\()https:\/\/(.*?)(?=\))/g;
const links = options.content.match(regex);
const filteredLinks = links
? links.filter(
(link) => !options.excludes.some((exclude) => link.includes(exclude))
)
: [];
const uniqueLinks = [...new Set(filteredLinks)]; // Ensure all links are unique
const randomLinks = [];
while (randomLinks.length < options.limit && uniqueLinks.length > 0) {
const randomIndex = Math.floor(Math.random() * uniqueLinks.length);
randomLinks.push(uniqueLinks.splice(randomIndex, 1)[0]);
}
return randomLinks;
};
function fuzzyContains(options: {
largeText: string;
queryText: string;
threshold?: number;
}): boolean {
// Normalize texts: lowercasing and removing non-alphanumeric characters
const normalize = (text: string) =>
text.toLowerCase().replace(/[^a-z0-9]+/g, " ");
const normalizedLargeText = normalize(options.largeText);
const normalizedQueryText = normalize(options.queryText);
// Split the query into words
const queryWords = normalizedQueryText.split(/\s+/);
// Count how many query words are in the large text
const matchCount = queryWords.reduce((count, word) => {
return count + (normalizedLargeText.includes(word) ? 1 : 0);
}, 0);
// Calculate the percentage of words matched
const matchPercentage = matchCount / queryWords.length;
// Check if the match percentage meets or exceeds the threshold
return matchPercentage >= (options.threshold || 0.8);
}

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apps/test-suite/utils/supabase.ts Normal file
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import { createClient, SupabaseClient } from "@supabase/supabase-js";
import "dotenv/config";
// SupabaseService class initializes the Supabase client conditionally based on environment variables.
class SupabaseService {
private client: SupabaseClient | null = null;
constructor() {
const supabaseUrl = process.env.SUPABASE_URL;
const supabaseServiceToken = process.env.SUPABASE_SERVICE_TOKEN;
// Only initialize the Supabase client if both URL and Service Token are provided.
if (process.env.USE_DB_AUTHENTICATION === "false") {
// Warn the user that Authentication is disabled by setting the client to null
console.warn(
"\x1b[33mAuthentication is disabled. Supabase client will not be initialized.\x1b[0m"
);
this.client = null;
} else if (!supabaseUrl || !supabaseServiceToken) {
console.error(
"\x1b[31mSupabase environment variables aren't configured correctly. Supabase client will not be initialized. Fix ENV configuration or disable DB authentication with USE_DB_AUTHENTICATION env variable\x1b[0m"
);
} else {
this.client = createClient(supabaseUrl, supabaseServiceToken);
}
}
// Provides access to the initialized Supabase client, if available.
getClient(): SupabaseClient | null {
return this.client;
}
}
// Using a Proxy to handle dynamic access to the Supabase client or service methods.
// This approach ensures that if Supabase is not configured, any attempt to use it will result in a clear error.
export const supabase_service: SupabaseClient = new Proxy(
new SupabaseService(),
{
get: function (target, prop, receiver) {
const client = target.getClient();
// If the Supabase client is not initialized, intercept property access to provide meaningful error feedback.
if (client === null) {
console.error(
"Attempted to access Supabase client when it's not configured."
);
return () => {
throw new Error("Supabase client is not configured.");
};
}
// Direct access to SupabaseService properties takes precedence.
if (prop in target) {
return Reflect.get(target, prop, receiver);
}
// Otherwise, delegate access to the Supabase client.
return Reflect.get(client, prop, receiver);
},
}
) as unknown as SupabaseClient;

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apps/test-suite/utils/tokens.ts Normal file
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import { encoding_for_model } from "@dqbd/tiktoken";
import { TiktokenModel } from "@dqbd/tiktoken";
// This function calculates the number of tokens in a text string using GPT-3.5-turbo model
export function numTokensFromString(message: string, model: string): number {
const encoder = encoding_for_model(model as TiktokenModel);
// Encode the message into tokens
const tokens = encoder.encode(message);
// Free the encoder resources after use
encoder.free();
// Return the number of tokens
return tokens.length;
}

7
apps/test-suite/utils/types.ts Normal file
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export interface WebsiteScrapeError {
website: string;
prompt: string;
expected_output: string;
actual_output: string;
error: string;
}

2
tutorials/contradiction-testing-using-llms.mdx
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# Build an agent that check your website for contradictions
# Build an agent that checks your website for contradictions
Learn how to use Firecrawl and Claude to scrape your website's data and look for contradictions and inconsistencies in a few lines of code. When you are shipping fast, data is bound to get stale, with FireCrawl and LLMs you can make sure your public web data is always consistent! We will be using Opus's huge 200k context window and Firecrawl's parellization, making this process accurate and fast.