firecrawl-core-workflow-b

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Execute Firecrawl secondary workflow: LLM extraction, batch scraping, and site mapping. Use when extracting structured data from pages, batch scraping known URLs, or discovering site structure with the map endpoint. Trigger with phrases like "firecrawl extract", "firecrawl batch scrape", "firecrawl map site", "firecrawl structured data", "firecrawl JSON extract".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Firecrawl Core Workflow B — Extract, Batch & Map ## Overview Secondary workflow complementing the scrape/crawl workflow. Covers LLM-powered structured data extraction with JSON schemas, batch scraping multiple known URLs, and rapid site map discovery. Use this when you need typed data rather than raw markdown. ## Prerequisites - `@mendable/firecrawl-js` installed - `FIRECRAWL_API_KEY` environment variable set - Understanding of JSON Schema (for extract) ## Instructions ### Step 1: LLM Extract — Structured Data from Pages ```typescript import FirecrawlApp from "@mendable/firecrawl-js"; const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY!, }); // Extract structured data using an LLM + JSON schema const result = await firecrawl.scrapeUrl("https://firecrawl.dev/pricing", { formats: ["extract"], extract: { schema: { type: "object", properties: { plans: { type: "array", items: { type: "object", properties: { name: { type: "string" }, price: { type: "string" }, credits_per_month: { type: "number" }, features: { type: "array", items: { type: "string" } }, }, required: ["name", "price"], }, }, }, }, }, }); console.log("Extracted plans:", JSON.stringify(result.extract, null, 2)); ``` ### Step 2: Extract with Prompt (No Schema) ```typescript // Use natural language prompt i...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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