Firecrawl is a service that gets web content for AI agents: it searches the web, scrapes pages and returns them as clean Markdown or structured data. It is open source and also hosted.
In plain words
Web pages are full of menus, ads and scripts that waste a language model's attention. Firecrawl fetches a page, deals with hard parts such as JavaScript-heavy sites and rate limits, and returns just the content, as Markdown, HTML, screenshots or structured JSON. It can also search the web, turn PDFs and Word files into clean Markdown, and click or scroll before extracting. The code is under the AGPL-3.0 licence, and there is a hosted service.
A quick example
Imagine a research agent that needs the text of a product page. It sends the page address to Firecrawl's scrape endpoint and asks for Markdown. It gets back the article text without navigation menus, ready to pass to a model for a summary.
Where you'll meet it
- Feeding web pages to AI agents.
- Collecting web content for RAG.
- Giving MCP clients web access.
Related
Sources
- Docsfirecrawl/firecrawl, Firecrawl (GitHub) · read 19 Oct 2026
- DocsIntroduction, Firecrawl documentation · read 20 Oct 2026
Checked by WhatIsAI against the sources above · 20 Oct 2026. Spotted an error? Report it.