Nick: fixes js and pydantic implementation
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@ -8,6 +8,7 @@ var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, ge
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});
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};
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import axios from "axios";
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import { z } from "zod";
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import { zodToJsonSchema } from "zod-to-json-schema";
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/**
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* Main class for interacting with the Firecrawl API.
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@ -38,7 +39,11 @@ export default class FirecrawlApp {
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};
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let jsonData = Object.assign({ url }, params);
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if ((_a = params === null || params === void 0 ? void 0 : params.extractorOptions) === null || _a === void 0 ? void 0 : _a.extractionSchema) {
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const schema = zodToJsonSchema(params.extractorOptions.extractionSchema);
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let schema = params.extractorOptions.extractionSchema;
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// Check if schema is an instance of ZodSchema to correctly identify Zod schemas
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if (schema instanceof z.ZodSchema) {
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schema = zodToJsonSchema(schema);
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}
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jsonData = Object.assign(Object.assign({}, jsonData), { extractorOptions: Object.assign(Object.assign({}, params.extractorOptions), { extractionSchema: schema, mode: params.extractorOptions.mode || "llm-extraction" }) });
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}
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try {
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@ -1,6 +1,6 @@
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{
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"name": "@mendable/firecrawl-js",
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"version": "0.0.17",
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"version": "0.0.19",
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"description": "JavaScript SDK for Firecrawl API",
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"main": "build/index.js",
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"types": "types/index.d.ts",
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@ -91,9 +91,11 @@ export default class FirecrawlApp {
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} as AxiosRequestHeaders;
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let jsonData: Params = { url, ...params };
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if (params?.extractorOptions?.extractionSchema) {
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const schema = zodToJsonSchema(
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params.extractorOptions.extractionSchema as z.ZodSchema
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);
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let schema = params.extractorOptions.extractionSchema;
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// Check if schema is an instance of ZodSchema to correctly identify Zod schemas
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if (schema instanceof z.ZodSchema) {
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schema = zodToJsonSchema(schema);
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}
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jsonData = {
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...jsonData,
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extractorOptions: {
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9
apps/js-sdk/package-lock.json
generated
9
apps/js-sdk/package-lock.json
generated
@ -9,7 +9,7 @@
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"version": "1.0.0",
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"license": "ISC",
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"dependencies": {
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"@mendable/firecrawl-js": "^0.0.17-beta.8",
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"@mendable/firecrawl-js": "^0.0.19",
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"axios": "^1.6.8",
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"ts-node": "^10.9.2",
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"typescript": "^5.4.5",
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@ -421,11 +421,10 @@
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}
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},
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"node_modules/@mendable/firecrawl-js": {
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"version": "0.0.17-beta.8",
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"resolved": "https://registry.npmjs.org/@mendable/firecrawl-js/-/firecrawl-js-0.0.17-beta.8.tgz",
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"integrity": "sha512-d65AW+y4YUQ9oU4Jy8dqiuKBPr+QkAyOKYEwFev/GOpGbNfU6lBUGJlAujVXaVY6fDbUGkHoaEzUbuTsqZV+Ng==",
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"version": "0.0.19",
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"resolved": "https://registry.npmjs.org/@mendable/firecrawl-js/-/firecrawl-js-0.0.19.tgz",
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"integrity": "sha512-u9BDVIN/bftDztxLlE2cf02Nz0si3+Vmy9cANDFHj/iriT3guzI8ITBk4uC81CyRmPzNyXrW6hSAG90g9ol4cA==",
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"dependencies": {
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"@mendable/firecrawl-js": "^0.0.17-beta.5",
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"axios": "^1.6.8",
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"zod": "^3.23.8",
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"zod-to-json-schema": "^3.23.0"
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@ -11,7 +11,7 @@
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"author": "",
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"license": "ISC",
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"dependencies": {
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"@mendable/firecrawl-js": "^0.0.17-beta.8",
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"@mendable/firecrawl-js": "^0.0.19",
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"axios": "^1.6.8",
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"ts-node": "^10.9.2",
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"typescript": "^5.4.5",
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@ -3,7 +3,7 @@ import { z } from "zod";
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async function a() {
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const app = new FirecrawlApp({
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apiKey: "fc-YOUR_FIRECRAWL_API_KEY",
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apiKey: "fc-YOUR_API_KEY",
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});
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// Define schema to extract contents into
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@ -20,7 +20,7 @@ async function a() {
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.length(5)
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.describe("Top 5 stories on Hacker News"),
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});
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const scrapeResult = await app.scrapeUrl("https://news.ycombinator.com", {
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const scrapeResult = await app.scrapeUrl("https://firecrawl.dev", {
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extractorOptions: { extractionSchema: schema },
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});
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console.log(scrapeResult.data["llm_extraction"]);
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@ -1,13 +1,36 @@
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from firecrawl import FirecrawlApp
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app = FirecrawlApp(api_key="YOUR_API_KEY")
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app = FirecrawlApp(api_key="fc-YOUR_API_KEY")
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crawl_result = app.crawl_url('mendable.ai', {'crawlerOptions': {'excludes': ['blog/*']}})
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print(crawl_result[0]['markdown'])
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# crawl_result = app.crawl_url('mendable.ai', {'crawlerOptions': {'excludes': ['blog/*']}})
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job_id = crawl_result['jobId']
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print(job_id)
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# print(crawl_result[0]['markdown'])
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# job_id = crawl_result['jobId']
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# print(job_id)
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# status = app.check_crawl_status(job_id)
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# print(status)
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from pydantic import BaseModel, Field
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from typing import List, Optional
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class ArticleSchema(BaseModel):
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title: str
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points: int
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by: str
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commentsURL: str
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class TopArticlesSchema(BaseModel):
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top: List[ArticleSchema] = Field(..., max_items=5, description="Top 5 stories")
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a = app.scrape_url('https://news.ycombinator.com', {
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'extractorOptions': {
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'extractionSchema': TopArticlesSchema.model_json_schema(),
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'mode': 'llm-extraction'
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},
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'pageOptions':{
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'onlyMainContent': True
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}
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})
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status = app.check_crawl_status(job_id)
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print(status)
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@ -1,4 +1,5 @@
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import os
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from typing import Any, Dict, Optional
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import requests
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import time
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@ -8,26 +9,51 @@ class FirecrawlApp:
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if self.api_key is None:
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raise ValueError('No API key provided')
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def scrape_url(self, url, params=None):
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from pydantic import BaseModel
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from typing import Optional, Dict, Any
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class ScrapeParams(BaseModel):
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url: str
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extractorOptions: Optional[Dict[str, Any]] = None
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def scrape_url(self, url: str, params: Optional[Dict[str, Any]] = None) -> Any:
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headers = {
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'Content-Type': 'application/json',
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'Authorization': f'Bearer {self.api_key}'
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}
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json_data = {'url': url}
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# Prepare the base scrape parameters with the URL
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scrape_params = {'url': url}
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# If there are additional params, process them
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if params:
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json_data.update(params)
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# Initialize extractorOptions if present
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extractor_options = params.get('extractorOptions', {})
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# Check and convert the extractionSchema if it's a Pydantic model
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if 'extractionSchema' in extractor_options:
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if hasattr(extractor_options['extractionSchema'], 'schema'):
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extractor_options['extractionSchema'] = extractor_options['extractionSchema'].schema()
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# Ensure 'mode' is set, defaulting to 'llm-extraction' if not explicitly provided
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extractor_options['mode'] = extractor_options.get('mode', 'llm-extraction')
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# Update the scrape_params with the processed extractorOptions
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scrape_params['extractorOptions'] = extractor_options
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# Include any other params directly at the top level of scrape_params
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for key, value in params.items():
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if key != 'extractorOptions':
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scrape_params[key] = value
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print(scrape_params)
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# Make the POST request with the prepared headers and JSON data
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response = requests.post(
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'https://api.firecrawl.dev/v0/scrape',
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headers=headers,
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json=json_data
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json=scrape_params
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)
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if response.status_code == 200:
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response = response.json()
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if response['success'] == True:
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if response['success']:
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return response['data']
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else:
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raise Exception(f'Failed to scrape URL. Error: {response["error"]}')
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elif response.status_code in [402, 409, 500]:
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error_message = response.json().get('error', 'Unknown error occurred')
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raise Exception(f'Failed to scrape URL. Status code: {response.status_code}. Error: {error_message}')
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@ -2,7 +2,7 @@ from setuptools import setup, find_packages
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setup(
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name='firecrawl-py',
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version='0.0.6',
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version='0.0.7',
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url='https://github.com/mendableai/firecrawl',
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author='Mendable.ai',
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author_email='nick@mendable.ai',
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