Firecrawl provides a unified web‑data API that enables searching, scraping, and interactive navigation of websites at scale. The service claims 96% coverage of the public web, including JavaScript‑heavy pages, and reports a P95 latency of 3.4 seconds when processing millions of pages, making it suitable for real‑time agents. Developers can obtain clean Markdown or structured JSON via the search endpoint, or convert any URL to these formats using the scrape endpoint, which automatically handles rotating proxies, rate‑limit management, and JS‑blocked content without configuration. Interaction features let agents click, scroll, wait, or press before extraction, and the platform parses PDFs and DOCX files. An autonomous agent can be launched with a single command (e.g., `app.agent(prompt="...")`, optionally with a schema such as `FoundersSchema`) and runs on the spark‑2 model; effort levels (low, medium, high) adjust reasoning budget while the underlying model remains spark‑1‑pro by default. The platform also supports crawling an entire site (job ID returned, automatic polling), mapping all URLs on a domain, and batch‑scraping thousands of URLs asynchronously. SDKs are available for Python, Node.js, Go, Java, Ruby, PHP, and others, and the core is AGPL‑3.0 licensed with MIT‑licensed SDKs.