browser-use 0.9.3

Make websites accessible for AI agents

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🤖 LLM Quickstart

1. Direct your favorite coding agent (Cursor, ClaudeS, etc) to Agents.md
2. Prompt away!

👋 Human Quickstart

1. Create environment with uv (Python>=3.11):

uv init

2. Install Browser-Use package:

#  We ship every day - use the latest version!
uv add browser-use
uv sync

3. Get your API key from Browser Use Cloud and add it to your .env file (new signups get $10 free credits):

# .env
BROWSER_USE_API_KEY=your-key

4. Install Chromium browser:

uvx browser-use install

5. Run your first agent:

from browser_use import Agent, Browser, ChatBrowserUse
import asyncio

async def example():
    browser = Browser(
        # use_cloud=True,  # Uncomment to use a stealth browser on Browser Use Cloud
    )

    llm = ChatBrowserUse()

    agent = Agent(
        task="Find the number of stars of the browser-use repo",
        llm=llm,
        browser=browser,
    )

    history = await agent.run()
    return history

if __name__ == "__main__":
    history = asyncio.run(example())

Check out the library docs and the cloud docs for more!

🚀 Template Quickstart

Want to get started even faster? Generate a ready-to-run template:

uvx browser-use init --template default

This creates a browser_use_default.py file with a working example. Available templates:

• default - Minimal setup to get started quickly
• advanced - All configuration options with detailed comments
• tools - Examples of custom tools and extending the agent

You can also specify a custom output path:

uvx browser-use init --template default --output my_agent.py

Demos

📋 Form-Filling

Task = "Fill in this job application with my resume and information."

Example code ↗

🍎 Grocery-Shopping

Task = "Put this list of items into my instacart."

https://github.com/user-attachments/assets/a6813fa7-4a7c-40a6-b4aa-382bf88b1850

Example code ↗

💻 Personal-Assistant.

Task = "Help me find parts for a custom PC."

https://github.com/user-attachments/assets/ac34f75c-057a-43ef-ad06-5b2c9d42bf06

Example code ↗

💡See more examples here ↗ and give us a star!

Integrations, hosting, custom tools, MCP, and more on our Docs ↗

FAQ

What's the best model to use?

We optimized ChatBrowserUse() specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.

For other LLM providers, see our supported models documentation.

Can I use custom tools with the agent?

Yes! You can add custom tools to extend the agent's capabilities:

from browser_use.tools import Tool

@Tool()
def custom_tool(param: str) -> str:
    """Description of what this tool does."""
    return f"Result: {param}"

agent = Agent(
    task="Your task",
    llm=llm,
    browser=browser,
    use_custom_tools=[custom_tool],
)

See our Custom Tools documentation for more examples.

Can I use this for free?

Yes! Browser-Use is open source and free to use. You only need to choose an LLM provider (like OpenAI, Google, ChatBrowserUse, or run local models with Ollama).

How do I handle authentication?

Check out our authentication examples:

• Using real browser profiles - Reuse your existing Chrome profile with saved logins
• If you want to use temporary accounts with inbox, choose AgentMail
• To sync your auth profile with the remote browser, run curl -fsSL https://browser-use.com/profile.sh | BROWSER_USE_API_KEY=XXXX sh (replace XXXX with your API key)

These examples show how to maintain sessions and handle authentication seamlessly.

How do I solve CAPTCHAs?

For CAPTCHA handling, you need better browser fingerprinting and proxies. Use Browser Use Cloud which provides stealth browsers designed to avoid detection and CAPTCHA challenges.

How do I go into production?

Chrome can consume a lot of memory, and running many agents in parallel can be tricky to manage.

For production use cases, use our Browser Use Cloud API which handles:

• Scalable browser infrastructure
• Memory management
• Proxy rotation
• Stealth browser fingerprinting
• High-performance parallel execution

Tell your computer what to do, and it gets it done.

   

Made with ❤️ in Zurich and San Francisco