Firecrawl

Firecrawl is a web scraping and search API that turns messy, human-oriented websites into clean, structured data that AI systems can actually use. Its core business is threefold: Search finds relevant information across the web, Scrape extracts clean markdown, HTML, or structured JSON from any URL, and Interact lets AI agents click buttons, fill forms, and navigate multi-step flows behind logins or pagination. The company's main selling point is reliability at scale: it covers 96% of the web including JavaScript-heavy pages, has a P95 latency of 3.4 seconds, and automatically handles proxies, rendering, and anti-bot measures. The market pain point it addresses is that the web was built for humans, not machines—AI agents waste tokens and produce wrong answers when forced to process boilerplate navigation and page clutter. Firecrawl solves this by returning only query-relevant excerpts, which its custom relevance model delivers with 94.7% accuracy on OpenAI's SimpleQA benchmark while using 10x fewer tokens than full-page processing. In the past six months (March to September 2026), Firecrawl shipped a major upgrade to its /search endpoint in July 2026, introducing a custom relevance model that scores every paragraph, list, and table against the user's query and returns only the most relevant excerpts. The upgrade is live across all API, SDK, CLI, and MCP interfaces with no changes required for existing users. The company also expanded its MCP Server support, allowing connection to any AI tool through the Model Context Protocol. No significant negative events were reported during this period.