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Browser Use

Browser Agent Library

Browser Use is an open-source Python library and cloud platform that lets AI agents control a real Chromium browser to complete tasks described in natural language. It is aimed at developers building web automation, scraping, testing, or agentic workflows on top of LLMs from OpenAI, Anthropic, Google, or its own ChatBrowserUse models.

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Use Cases

Automate filling job applications and forms on the web

Scrape structured data from sites without writing selectors

Run end-to-end tests by describing flows in plain language

Monitor pages for changes and trigger webhooks on diff

Orchestrate multi-step purchases or bookings across sites

Drive a remote Chrome with a Claude or GPT agent over SSH or Telegram

Pros

Open-source MIT library with 83k GitHub stars and 2.4k dependents

ChatBrowserUse model tuned for browser tasks at 0.20 input per 1M tokens

Bring-your-own LLM key across OpenAI, Anthropic, Google, or Ollama

Cloud option bundles stealth browsers, residential proxies in 195+ countries, CAPTCHA solving

Reports 97% accuracy on Online-Mind2Web benchmark, ahead of native computer-use models

Cons

Self-hosted runs need significant memory and parallelism management for production scale

CAPTCHA and bot-detection bypass requires the paid Cloud tier with stealth browsers

Token consumption on long sessions can outpace per-step or flat-rate competitors

No SOC 2 or ISO certifications publicly disclosed on the privacy or security pages

Inputs may be used to train Browser Use models by default per privacy policy

Platforms

  • Web

  • API

  • Self-Hosted

Browser Use turns plain-English tasks into real Chromium sessions, and it's the layer most other AI browser agents quietly build on top of. The open-source library is free, but production work pushes you toward the Cloud tier for stealth fingerprinting and CAPTCHA solving.

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