Overview
Firecrawl is a developer-first context API that helps AI systems search, scrape, and interact with the live web at scale. It transforms messy web content into clean, LLM-ready formats like Markdown, JSON, and screenshots, giving AI agents the structured data they need to reason, act, and ship.
Built from the ground up for performance and reliability, Firecrawl covers 96% of the web—including JavaScript-heavy pages—and is token-efficient by design. It's also open source, trusted by 150,000+ companies of all sizes, and integrates seamlessly with any AI agent or MCP client in minutes.
Key Features
- Search: Search the web and get full content from results, not just snippets.
- Scrape: Get LLM-ready data from any website in Markdown, JSON, or screenshot format.
- Interact: Scrape a page, then interact with it using AI prompts or code—click, navigate, and operate pages autonomously.
- Agent Onboarding: One-command setup via Skills/CLI or MCP to connect Firecrawl to any AI agent.
- Open Source: Transparent, self-hostable infrastructure with industry-leading reliability.
Use Cases
- AI Agent Builders: Power autonomous agents that need to gather, read, and act on live web data in real time.
- RAG Pipelines: Feed clean, structured web content into retrieval-augmented generation systems for accurate, up-to-date answers.
- Data Engineering Teams: Automate large-scale web data collection and transformation without brittle scrapers.
