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Browser Use

automation
Trial

Update 07/2026 (assess → trial): Browser Use has matured and is ready for project trials for agentic browser automation and web data extraction.

The Playwright backend was replaced - Browser Use now talks to the browser directly via the Chrome DevTools Protocol (CDP) with an event/watchdog architecture, which improved speed and reliability. The project got more traction (~79k GitHub stars, $17M seed funding) and a cloud offering with stealth/proxy/CAPTCHA handling for production scraping scenarios.

As with all agentic browser automation: treat visited pages as untrusted input, see Prompt Injection Awareness.

Assess

Browser Use is an open-source Python framework that enables LLM-driven browser automation using Playwright. It allows agents to interact with websites through high-level instructions (e.g., “log in and download report”) instead of brittle selectors. It supports OpenAI, Claude, DeepSeek, Gemini, and local models via Ollama.

Key features:

  • Agent-based API: Define tasks using natural language; LLMs generate browser commands.
  • Playwright backend: Cross-browser support, headless or visible.
  • MCP integration: Extensible via Model Context Protocol for tool orchestration.
  • Web UI & CLI: Interactive interface for testing agent workflows.

Browser Use is under active development and best suited for prototyping AI agents that need to navigate or extract data from websites.

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