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Firecrawl is a web data infrastructure platform that helps developers search, scrape, and interact with live web content for AI applications and agents. They enable users to extract clean web data, crawl websites, parse documents, and automate browser interactions, making it easier to build AI systems powered by real-time information. The platform is designed for AI workflows with agent-ready APIs, web scraping automation, and structured data extraction, allowing developers to connect AI agents directly to the live web.
They provide advanced capabilities like JavaScript rendering, smart content loading, media parsing, and interactive page actions, enabling users to scrape data from websites, PDFs, DOCX files, and dynamic web applications reliably. Developers can integrate with MCP-compatible clients, AI agents, SDKs, and automation workflows, while leveraging open-source tooling, caching systems, and high-performance crawling infrastructure. With support for autonomous data gathering, browser automation, and scalable API-based extraction, they are widely used for AI research agents, lead enrichment, and web-powered AI products.
And the best part? They offer free access with scalable usage plans, while advanced pricing depends on API usage and infrastructure requirements.
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Freemium
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