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); }