Firecrawl

Firecrawl is the context API for AI apps. Point it at a URL — or a whole domain — and it returns clean, LLM-ready markdown instead of the tag soup you would get from a raw fetch. It handles JavaScript rendering, pagination, rate limits, and retries so your RAG pipeline stops being 200 lines of Puppeteer glue and prayer.

Why builders use it

• Scrape a single page, crawl an entire site, or run a search that returns full page content — one API for all three.
• Output is markdown or structured JSON, which means fewer tokens burned on HTML noise and better retrieval quality.
• Handles the annoying parts: dynamic JS pages, PDFs, proxies, and anti-bot friction.
• Open source and self-hostable, with a managed cloud tier when you would rather not run crawlers yourself.

Good for

Feeding agents real web context, building RAG over documentation, competitor monitoring, and any place you need the live web as a dependable input rather than a scraping side-quest. With 160k+ stars it has become the default answer to "how do I get the web into my model?"

Get started at github.com/firecrawl/firecrawl.