Browser Use

Browser Use is an open-source Python library that enables AI agents to control web browsers autonomously. It provides a high-level interface for LLMs to navigate websites, fill forms, click buttons, extract data, and perform complex multi-step web tasks — essentially giving AI agents the ability to use the web like a human would.

The library works by combining browser automation (via Playwright) with LLM vision and DOM understanding. At each step, the agent receives a structured representation of the current page — including interactive elements, their positions, and semantic labels — and decides what action to take next. It supports both vision-based understanding (sending screenshots to multimodal models) and DOM-based understanding (parsing HTML structure), and can use both simultaneously for maximum accuracy.

Browser Use handles the complexity of real-world web interactions that trip up simpler automation tools: dynamic content loading, shadow DOMs, iframes, cookie consent dialogs, CAPTCHA detection, and multi-tab management. The agent can maintain state across multiple pages, fill complex forms with context from previous steps, and handle authentication flows.

The framework is LLM-agnostic and works with GPT-4o, Claude, Gemini, and other multimodal models. It provides clean abstractions for defining agent goals in natural language while handling the low-level browser manipulation automatically.

Integration with agent frameworks is straightforward — Browser Use can serve as a tool within LangChain, CrewAI, or any custom agent system. This means you can build agents that combine web browsing with other capabilities like API calls, code execution, and data analysis.

The project has grown rapidly on GitHub, driven by demand for autonomous web agents in use cases like market research, competitive analysis, automated testing, form filling, data collection, and web-based workflow automation. Its open-source nature and clean API have made it a go-to choice for developers building web-capable agents.

Browser Use addresses a fundamental capability gap in agent systems — the ability to interact with the web's visual, interactive interface rather than just consuming APIs. For the vast majority of web services that don't offer APIs, browser-based agents are the only viable automation path.