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v-firecrawl/apps/js-sdk/example.ts
2024-06-18 11:43:06 -03:00

93 lines
2.3 KiB
TypeScript

import FirecrawlApp, { JobStatusResponse } from './firecrawl/src/index' //'@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');
if (scrapeResult.data) {
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
}
if (job.data) {
console.log(job.data[0].content);
}
// Search for a query:
const query = 'what is mendable?'
const searchResult = await app.search(query)
// 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 },
});
if (llmExtractionResult.data) {
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 },
});
if (llmExtractionResult.data) {
console.log(llmExtractionResult.data.llm_extraction);
}