Firecrawl converts the messy web into clean, structured data that language models can actually use. Send it any URL and it returns markdown, JSON, or screenshot output - handling JavaScript rendering, authentication flows, pagination, and bot protection without extra configuration. The API offers three core modes: scrape (single page), crawl (entire site), and search (query the web and return structured content). For agentic workflows, Firecrawl also provides browser sandboxes that let AI agents interact with pages the way a human would, clicking buttons and filling forms rather than just parsing HTML. Fifty thousand developers use Firecrawl to power RAG pipelines, competitive intelligence scrapers, and research agents. With 500 free credits on the starter tier and model-friendly output formats baked in, it's become the default web data layer for teams building LLM applications.