Browser Use

Automate web browser tasks using natural language by connecting large language models to a live browser action space.

Automate web browser tasks using natural language by connecting large language models to a live browser action space.

The gist

Browser Use is an open-source Python library for building and running AI agents that can operate a web browser. It provides a framework for directing large language models (LLMs) to perform complex tasks on the web, such as filling out forms or gathering data. The library connects an LLM to a browser action space, allowing it to interpret natural language commands and execute them within a live web environment, with an optional managed cloud platform for enhanced capabilities.

What it does

  • Automate browser tasks by providing natural language instructions to an LLM.
  • Interact with web pages through a command-line interface for quick navigation and actions.
  • Build custom agents in Python with persistent tools and recovery loops.
  • Fill complex forms, complete online shopping orders, and perform web-based research.
  • Integrate with various LLM providers, including OpenAI, Anthropic, and Google.
  • Run agents locally or use a managed cloud service for enhanced stealth and scalability.

How it works

Architecture Diagram
Browser Use Architecture Diagram

Browser Use is an open-source Python library and CLI installed via pip. Users write a script to define a task in natural language, configure a browser profile, and select an LLM. The agent then translates the task into a series of browser actions and executes them. The library can be used locally for free, or via a paid cloud service that provides features like stealth browsing and proxy rotation. The core logic is powered by Rust for performance.

Best for

This tool is best for developers building robust, AI-driven browser automations for complex tasks like multi-page form filling or dynamic data gathering where simple scripting is insufficient.

Watch out for

The open-source version is benchmarked as less capable for complex tasks than the paid, fully-hosted cloud agent. Users should also note the distinction between the legacy Python agent and the new Rust-powered beta agent within the same library.