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Firecrawl

Web content into LLM-ready data

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What Firecrawl is

Firecrawl is a web scraping and data extraction platform aimed at AI use. It offers single-page scraping, full-site crawling, site structure mapping, web search and structured extraction, returning Markdown, JSON or HTML suited to language models.

It handles dynamic JavaScript content, rotates proxies, and provides SDKs for Python, Node, Go and Rust plus integrations with frameworks such as LangChain, LlamaIndex and Dify. Self-hosting is supported.

What you can do with it

  • Convert a page into clean Markdown or JSON
  • Crawl a site for a knowledge base
  • Extract structured fields with a schema
  • Run extraction inside an agent pipeline

Who it is for

  • Developers building RAG systems
  • Teams running market intelligence
  • Engineering groups needing page data

What to watch out for

  • Site terms, robots directives and data protection law still govern what you may collect
  • Anti-blocking and proxy rotation features must not be used to bypass paywalls, logins or access controls
  • Scraping personal data brings its own legal obligations
  • Self-hosting reduces data sharing but adds operations work

Pros & cons

✓ What we like

  • Output shaped for model consumption
  • Several SDKs and framework integrations
  • Self-hosting available

! What to watch out for

  • Legal boundaries on scraping
  • Anti-blocking misuse risk
  • Self-hosting overhead

FAQ

What does it output?

Markdown, JSON and HTML, chosen to suit language model pipelines.

Can it handle JavaScript pages?

Yes. Dynamic pages and proxy rotation are supported.

Does it integrate with agent frameworks?

Yes, including LangChain, LlamaIndex and Dify.

Last reviewed: 2026-09-17

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