Automate browser interactions for AI agents using the Browser-Use Python library and Playwright. Use when building web scraping agents, automating complex UI workflows, interacting with authenticated web apps, or testing browser tasks.
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---
name: browser-use
description: "Automate browser interactions for AI agents using the Browser-Use Python library and Playwright. Use when building web scraping agents, automating complex UI workflows, interacting with authenticated web apps, or testing browser tasks."
---
# Browser-Use Web Automation
Automate browser interactions for AI agents using `browser-use`. Browser-Use connects language models directly to headless Chromium via Playwright, converting raw web pages into structured visual and DOM representations that agents can click, type, navigate, and extract data from.
## Use This Skill When
- Building autonomous agents that must navigate dynamic websites, submit forms, or click buttons.
- Extracting data from modern SPAs where simple HTTP scraping fails.
- Automating end-to-end browser workflows with agent supervision.
## Installation & Setup
```bash
pip install browser-use playwright
playwright install chromium
```
## Basic Agent Workflow
```python
import asyncio
from langchain_openai import ChatOpenAI
from browser_use import Agent
async def main():
agent = Agent(
task="Navigate to example.com, search for 'documentation', and return the top headline.",
llm=ChatOpenAI(model="gpt-4o"),
)
history = await agent.run()
print(history.final_result())
if __name__ == "__main__":
asyncio.run(main())
```
## Verification Checklist
- [ ] Chromium binaries are installed (`playwright install chromium`).
- [ ] Agent interactions handle cookies, consent modals, and dynamic hydration delays.
- [ ] Sensitive session tokens or credentials are kept in environment variables.
## Pitfalls
- **Bot Detection**: Rapid automated actions may trigger Cloudflare or CAPTCHA challenges; use realistic delays or headful browser debugging when diagnosing blocks.
- **Context Limits**: Full DOM tree dumps can overwhelm LLM contexts; Browser-Use automatically trims irrelevant nodes, but narrow the task prompt to specific page regions.
## Sources
- [Browser-Use Documentation](https://docs.browser-use.com/)
- [Browser-Use GitHub Repository](https://github.com/browser-use/browser-use)