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Crawl a docs site into clean Markdown for a RAG index

Use Firecrawl to map and crawl a website, returning each page as Markdown or structured JSON ready to chunk and embed.

Try the promptRead the original (opens in a new tab)

The problem

How it works

The README describes a Map endpoint that lists a site's URLs and a Crawl endpoint that scrapes every page in one request. Scrape converts a single URL into Markdown, HTML, screenshots or structured JSON, and Batch Scrape handles many URLs asynchronously. SDKs in several languages poll async jobs for you.

Results and limitations

The maintainers claim the output is LLM-ready, uses fewer tokens than raw HTML and copes with JavaScript-heavy pages, proxies and rate limits.

Before you try it

The quick start uses a hosted API key from firecrawl.dev; a self-hosting guide exists under AGPL-3.0, and the cloud version has extra features. Respect each site's terms and robots rules. Results depend on your setup and were not independently reproduced by Top 200 Repos.

Tools and repositories

Tools
Firecrawl API or self-hosted Firecrawl · Python or Node.js SDK
Prerequisites
A Firecrawl API key for the hosted service, or a self-hosted deployment.

Try it yourself: Crawl a site into a Markdown corpus

Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].

Preview
Use Firecrawl to build a Markdown corpus from [Site to crawl]. First run Map and show me the discovered URLs grouped by path, plus a count. Propose include patterns such as [Paths to include] and a page limit of [Maximum pages], then wait for my approval before starting a crawl, because crawls consume API credits. After approval, crawl only the approved paths, save one Markdown file per page under [Output folder] named from the URL slug, and write an index.csv with url, title and file path. Skip pages that fail and list them at the end instead of retrying endlessly. Do not log in to anything or bypass access controls.

Confirm the page limit before crawling so a large site does not exhaust your credits.

Related videos

About firecrawl/firecrawl

About firecrawl/firecrawl

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Sources

  1. firecrawl/firecrawl README (opens in a new tab)

    Project documentation · github.com · Undated · Source checked 9 Nov 2026, 22:21 UTC

    What this source supports
    • Map lists a site's URLs; Crawl scrapes all pages in one request
    • Scrape returns Markdown, HTML, screenshots or structured JSON
    • Official SDKs for Python, Node.js and other languages
    • Open source under AGPL-3.0 with a hosted cloud option
Report a problem

Planned, not done

Build a support chatbot that answers from your help docs with Dify

Turn help-centre pages into a Dify knowledge base, route questions with a classifier, answer from retrieved context and embed the bot on your website.

docs.dify.ailanggenius/dify, firecrawl/firecrawl
Planned, not done

Turn public competitor pages into a structured market scan with Crawl4AI

Crawl4AI crawls pages into clean Markdown and extracts fields such as product names and prices with CSS or XPath schemas or an LLM, giving an agent tidy input for a market or competitor comparison.

github.comunclecode/crawl4ai, ollama/ollama
Planned, not done

Watch competitor pricing and product pages with changedetection.io

changedetection.io checks chosen parts of web pages on a schedule, tracks prices and restocks, and can use an LLM to summarise changes or ignore ones that do not matter.

github.commicrosoft/playwright
Reported by source

Build a cited Q&A knowledge base over your own documents

Self-host RAGFlow, upload PDFs, Office files and scans, and ask questions that come back with traceable source chunks.

github.cominfiniflow/ragflow