Firecrawl

Firecrawl is the complete toolkit to search, scrape, and interact with the web at scale. Built for developers and AI agents, Firecrawl turns the live web into LLM-ready data for AI products and workflows. Customers use it to power research agents, AI-native search, AI assistants, lead enrichment, web monitoring, and onboarding. It handles JavaScript-heavy and dynamic pages, removes the noise, and returns clean Markdown or structured data at production scale. Use Firecrawl through a unified API, official SDKs, MCP, or the CLI. /search: Search the live web and get fresh, relevance-ranked results with titles, descriptions, and URLs. Retrieve full-page Markdown, HTML, links, or screenshots in the same request. Research tools, RAG pipelines, and AI agents can find relevant sources and turn them into usable context without stitching together separate search and extraction services. /scrape: Turn a web page into clean Markdown, structured JSON, HTML, and more. Firecrawl renders dynamic content and removes headers, footers, navigation, and other noise, reducing token usage by up to 94%. Get reliable, LLM-ready content without maintaining your own web scraping infrastructure. /interact: Take action on a page using natural-language prompts or Playwright code. Click buttons, fill forms, navigate pages, handle pagination, and extract dynamic content, with a live view for real-time visibility. Use it for agent workflows that require more than standard page extraction. /crawl: Discover and extract content across a website or selected section. Firecrawl handles sitemaps, JavaScript rendering, and large-scale processing automatically, with controls for paths, crawl depth, and subdomains. Use it to create datasets, knowledge bases, and complete content collections. /monitor: Track pages, websites, or web-wide topics on a recurring schedule. Notify your team or AI agent through webhooks, email, or Slack when something meaningful changes. Monitor pricing, documentation, listings, news, and other evolving web content.