Firecrawl vs. Browser Use

Yes. Firecrawl returns clean markdown and structured JSON on every request with no post-processing needed. Browser Use is designed for browser automation — its agents interact with web pages and return task completion results, but structured data extraction requires configuring agent steps and output schemas.

Firecrawl uses credit-based pricing starting at 1 credit per page for standard scrapes, with plans from $83/month for 100k credits. Browser Use charges per-step LLM costs ($0.002-$0.05/step depending on model), plus $0.01 per task initialization, $0.06/hour for browser sessions, and $10/GB for proxy bandwidth. For data extraction at scale, Firecrawl's flat per-page pricing is simpler to predict.

Yes. Firecrawl's Browser endpoint supports clicks, form fills, scrolling, and multi-step interactions through a simple API — no LLM agent needed. Browser Use takes a different approach by using AI agents that interpret natural language instructions to control browsers, which is powerful for complex workflows but adds latency and cost per step.

Yes. Firecrawl is fully open source under the AGPL-3.0 license and can be self-hosted with Docker for complete control over your data, compliance, and infrastructure. Browser Use is also open source under the MIT license with self-hosting support, though their cloud features like stealth browsers and CAPTCHA solving require the managed service.

Yes. Firecrawl's crawl endpoint processes thousands of pages with a single API call, with automatic sitemap discovery, depth control, and path filtering. Browser Use does not have a crawling API — agents navigate pages one at a time, which makes large-scale site crawling impractical.

Firecrawl returns data in sub-second response times, optimized for real-time pipelines. Browser Use agents take 3-8 seconds per step, and most tasks require multiple steps. For a simple data extraction that Firecrawl handles in one API call, Browser Use might need 5-10 agent steps taking 15-80 seconds total.

Firecrawl is purpose-built for AI data pipelines. It returns clean markdown ready for chunking and embedding, with structured extraction via natural language prompts or JSON Schema, plus site-wide crawling for building comprehensive knowledge bases. Browser Use is optimized for browser automation tasks like form filling and workflow automation, not bulk data extraction.

If you're using Browser Use primarily for data extraction, migrating is straightforward. Replace your agent task configuration, LLM provider setup, and multi-step extraction logic with a single Firecrawl API call. For example, a Browser Use task that navigates to a URL and extracts content across multiple agent steps becomes one call to Firecrawl's /scrape endpoint that returns clean markdown. Firecrawl offers SDKs for Python, Node.js, Go, Rust, and Java. Most teams complete the migration in under a day.

Yes. Firecrawl is SOC 2 Type II compliant with GDPR compliance and DPA available. Enterprise plans include zero data retention and 99.9% SLA. You can self-host for air-gapped environments or use the managed cloud. Over 500,000 developers and 80,000+ companies use Firecrawl.