Esta página se muestra en inglés. Una traducción al español está en curso.
SkillsMay 11, 2026·2 min de lectura

browser-use — Python Browser Agent Toolkit

browser-use runs a Python agent that controls a real browser for web tasks. Use the repo’s uv quickstart, then run an Agent with your LLM provider.

Script Depot
Script Depot · Community
Listo para agents

Instalación lista para agent

Este activo puede instalarse después de elegir el runtime, revisar el plan y ejecutar el comando correspondiente.

Native · 98/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Skill
Instalación
Single
Confianza
Confianza: Established
Entrada
Asset
Comando de instalación directa
npx -y tokrepo@latest install a280a275-8b91-4755-82e5-5113a6c454b6 --target codex

Ejecutar después de confirmar el plan con dry-run.

Introducción

browser-use runs a Python agent that controls a real browser for web tasks. Use the repo’s uv quickstart, then run an Agent with your LLM provider.

  • Best for: developers building web-capable agents who need a real browser loop (not just HTTP requests) for login flows, forms, and navigation
  • Works with: Python >=3.11 (repo), uv/uvx, a supported LLM provider, local or cloud browser options
  • Setup time: 12 minutes

Quantitative Notes

  • Python >=3.11 requirement (repo)
  • Setup time ~12 minutes
  • GitHub stars (verified): see Source & Thanks

Practical Notes

Treat browser-use as an execution layer: your agent decides what to do, and browser-use reliably performs how to do it in a browser. Start with deterministic tasks (open URL → extract one number), then expand to multi-step flows (login → navigate → download). For production, add guardrails: domain allowlists, human approval for purchases, and logs of every action.

Safety note: Browser automation is powerful—add permissions, allowlists, and approval gates for destructive actions.

FAQ

Q: Do I need Browser Use Cloud? A: No. The README shows an optional cloud API key; you can run locally with your own setup.

Q: Which LLMs work? A: The README lists multiple providers (e.g., Browser Use, Google, Anthropic). Pick one that fits your environment and budget.

Q: How do I make runs stable? A: Use narrow tasks, add explicit success criteria, and keep browser state clean (fresh profiles for tests).

🙏

Fuente y agradecimientos

GitHub: https://github.com/browser-use/browser-use Owner avatar: https://avatars.githubusercontent.com/u/192012301?v=4 License (SPDX): MIT GitHub stars (verified via api.github.com/repos/browser-use/browser-use): 93,399

Discusión

Inicia sesión para unirte a la discusión.
Aún no hay comentarios. Sé el primero en compartir tus ideas.

Activos relacionados

SQLAlchemy — The Python SQL Toolkit and ORM

The most widely used Python database library, providing both a low-level SQL expression language and a high-level ORM with unit of work, identity map, and eager loading.

Skills
Script Depot

Obscura — Headless Browser Built for AI Agents and Web Scraping

A high-performance headless browser written in Rust, designed specifically for AI agent workflows and large-scale web scraping with built-in stealth and anti-detection capabilities.

Skills
Script Depot

Selenium — Browser Automation Framework and Ecosystem

Selenium is the original browser automation framework for testing web applications. WebDriver API supports Chrome, Firefox, Safari, Edge across Java, Python, C#, Ruby, JavaScript. The industry standard for E2E web testing since 2004.

Skills
Script Depot

NLTK — Natural Language Processing Toolkit for Python

NLTK (Natural Language Toolkit) is the foundational Python library for computational linguistics, providing tokenizers, parsers, classifiers, and corpora used in NLP education and research since 2001.

Skills
AI Open Source
◈Inicio🔍Buscar👤Yo