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🌤️ Want to skip the setup? Use our cloud for faster, scalable, stealth-enabled browser automation!

🤖 LLM Quickstart

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

👋 Human Quickstart

Browser Use 0.13 introduces a new beta agent powered by a Rust core and a browser harness built for current frontier models. It gives the model a real browser/computer action space, persistent tools, and recovery loops inspired by coding agents.

text
Python API -> Rust core -> Browser harness -> Web task done

1. Install Browser Use with the native core runtime (Python>=3.11):

bash
uv add "browser-use[core]"
# or: pip install "browser-use[core]"
browser

The [core] extra installs the native Browser Use runtime for your platform.

2. [Optional] Get your API key from Browser Use Cloud:

# .env
BROWSER_USE_API_KEY=your-key
# GOOGLE_API_KEY=your-key
# ANTHROPIC_API_KEY=your-key

3. Run your first agent:

Browser Use Terminal:

bash
uv add "browser-use[core]"
browser

Python Script:

python
from browser_use.beta import Agent, BrowserProfile, ChatBrowserUse
# from browser_use.beta import ChatOpenAI  # ChatOpenAI(model='gpt-5.5')
# from browser_use.beta import ChatAnthropic  # ChatAnthropic(model='claude-opus-4-8')
import asyncio

async def main():
    agent = Agent(
        task="Find the number of stars of the browser-use repo",
        llm=ChatBrowserUse(model='openai/gpt-5.5'),
        # llm=ChatBrowserUse(model='bu-2-0'),  # Browser Use's own optimized model
        # llm=ChatOpenAI(model='gpt-5.5'),
        # llm=ChatAnthropic(model='claude-opus-4-8'),  # Sonnet also works well.
        browser_profile=BrowserProfile(
            headless=False,
            allowed_domains=["*.github.com"],
        ),
    )
    history = await agent.run()
    print(history.final_result())

if __name__ == "__main__":
    asyncio.run(main())

Existing Python agent users can keep using from browser_use import Agent. The new Rust-powered beta agent is from browser_use.beta import Agent.

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

Open Source vs Cloud

We benchmark Browser Use across 100 real-world browser tasks. Full benchmark is open source: browser-use/benchmark.

Use the Open-Source Agent

• You need custom tools or deep code-level integration
• We recommend pairing with our cloud browsers for leading stealth, proxy rotation, and scaling
• Or self-host the open-source agent fully on your own machines

Use the Fully-Hosted Cloud Agent (recommended)

• Much more powerful agent for complex tasks (see plot above)
• Easiest way to start and scale
• Best stealth with proxy rotation and captcha solving
• 1000+ integrations (Gmail, Slack, Notion, and more)
• Persistent filesystem and memory

Demos

📋 Form-Filling

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

!Job Application Demo 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!

🚀 Template Quickstart

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

bash
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:

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

💻 CLI

Fast, persistent browser automation from the command line:

bash
browser-use open https://example.com    # Navigate to URL
browser-use state                       # See clickable elements
browser-use click 5                     # Click element by index
browser-use type "Hello"                # Type text
browser-use screenshot page.png         # Take screenshot
browser-use close                       # Close browser

The CLI keeps the browser running between commands for fast iteration. See [CLI docs](browser_use/skill_cli/README.md) for all commands.

Claude Code Skill

For Claude Code, install the skill to enable AI-assisted browser automation:

bash
mkdir -p ~/.claude/skills/browser-use
curl -o ~/.claude/skills/browser-use/SKILL.md \
  https://raw.githubusercontent.com/browser-use/browser-use/main/skills/browser-use/SKILL.md

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 pricing and other LLM providers, see our supported models documentation.

Can I use Claude / GPT / Gemini through ChatBrowserUse?

Yes. ChatBrowserUse accepts provider-prefixed model ids, so a single BROWSER_USE_API_KEY reaches all of them — no separate OpenAI/Anthropic/Google keys required:

python
from browser_use import Agent, ChatBrowserUse

llm = ChatBrowserUse(model='anthropic/claude-sonnet-4-6')  # or 'openai/gpt-5.5', 'google/gemini-3-pro'
agent = Agent(task='...', llm=llm)

For the best speed and cost we still recommend the default bu-* models.

Should I use the Browser Use system prompt with the open-source preview model?

Yes. If you use ChatBrowserUse(model='browser-use/bu-30b-a3b-preview') with a normal Agent(...), Browser Use still sends its default agent system prompt for you.

You do not need to add a separate custom "Browser Use system message" just because you switched to the open-source preview model. Only use extend_system_message or override_system_message when you intentionally want to customize the default behavior for your task.

If you want the best default speed/accuracy, we still recommend the newer hosted bu-* models. If you want the open-source preview model, the setup stays the same apart from the model= value.

Can I use custom tools with the agent?

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

python
from browser_use import Tools

tools = Tools()

@tools.action(description='Description of what this tool does.')
def custom_tool(param: str) -> str:
    return f"Result: {param}"

agent = Agent(
    task="Your task",
    llm=llm,
    browser=browser,
    tools=tools,
)

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).

Terms of Service

This open-source library is licensed under the MIT License. For Browser Use services & data policy, see our Terms of Service and Privacy Policy.

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

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