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Browser Use
Category: Browser Automation Framework
License / Pricing: Open-source core under MIT license (free). Browser Use Cloud adds hosted agents, stealth browsers, CAPTCHA solving, and proxy rotation on a paid subscription starting at $29/month. The free cloud tier includes 3 concurrent sessions.
Official site: https://browser-use.com
Docs: https://docs.browser-use.com
GitHub: https://github.com/browser-use/browser-use
What It Is
Browser Use is a Python framework that lets AI agents autonomously control a web browser. You give the agent a natural-language task; it navigates, clicks, fills forms, extracts data, and returns a result. The open-source library runs against any LLM (OpenAI, Anthropic, Google, etc.) and drives a local Chromium instance via Playwright under the hood.
The cloud layer (Browser Use Cloud) wraps the same core in managed stealth browsers with residential proxies across 195+ countries, CAPTCHA solving, and session replay.
Key Capabilities
- Natural-language task execution in a real browser
- Works with OpenAI, Anthropic Claude, Google Gemini, and other LLM providers
- Self-healing agent loop: retries on failure, adapts to page changes
- Cloud API for scalable, anti-detect browser sessions
- Proxy rotation with 195+ country residential IPs
- CAPTCHA solving (cloud tier)
- MIT-licensed core, permissive for commercial use
Cloud Pricing (as of 2026-06-30)
| Plan | Monthly | Concurrent sessions |
|---|---|---|
| Free | $0 | 3 |
| Dev | $29 | 25 |
| Business | $299 | 200 |
| Scaleup | $999 | 500 |
| Enterprise | Custom | Custom |
Browser sessions beyond included credits: $0.02/hour. Proxy bandwidth: $5/GB.
Safety and ToS Notes
- The open-source library is MIT licensed with no usage restrictions beyond LLM provider terms.
- The cloud service has its own Terms of Service at browser-use.com.
- Agents use real browser profiles; credential handling is the operator's responsibility.
- Do not use the cloud service to scrape sites that prohibit automated access in their own ToS.
- For high-volume or login-based scraping, review the target site's robots.txt and terms before automating.