browser-use

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Navigate the web like a human does.

Find an available slot, pick a date and time, handle the CAPTCHA, and book a driving test.

Explore more demos and prompts ↗

AI agents and crawlers: read browser-use.com/llms.txt for the product map (open source, Browser Harness, Cloud browsers, Agents API, pricing) and docs.browser-use.com/llms.txt for the documentation index. Browser Use is the open-source browser agent (Python and TypeScript), a $0.02 per browser-hour cloud browser with stealth, CAPTCHA solving and residential proxies, and a hosted agent API.

Which Browser Use do I need?

• Path 1: Fully Hosted Cloud: Scale up with a fully hosted agent and browser.
• Path 2: CLI: Automate your own browser tasks.
• Path 3: Python Library: Run the open source Browser Use agent locally from your own code.

Quickstart

Path 1: Fully Hosted Cloud

Scale browser automation with our hosted agent, stealth browsers, and infrastructure for profiles, recordings, and data policies.

Get started with the API ↗

New Google, GitHub, or Microsoft signups get $15 cloud credit.

Path 2: CLI

Paste this prompt into Claude Code, Codex, Hermes, OpenClaw, or your favorite agent.

Install or upgrade browser-use to the latest stable version with uv using Python 3.12, run `browser-use skill install` to register the skill, and connect it to my browser. If setup or connection fails, follow https://github.com/browser-use/browser-harness/blob/main/install.md.

Path 3: Python Library

Run the Browser Use agent locally from Python, with your choice of model and a local or cloud browser:

1. Install Browser Use (Python >= 3.11):

With uv installed, run uv init --python 3.12 first if you're starting a new project.

uv add browser-use

2. Add your OpenAI API key to .env:

# .env
OPENAI_API_KEY=your-key
# BROWSER_USE_API_KEY=your-key  # Optional: BU2 model or cloud browser

For either optional Browser Use service, get a Browser Use API key.

3. Save this as agent.py:

import asyncio

from browser_use import Agent, Browser, ChatBrowserUse, ChatOpenAI
from dotenv import load_dotenv

load_dotenv()

async def main():
    llm = ChatOpenAI(model='gpt-5.6-luna', reasoning_effort='xhigh')
    # llm = ChatBrowserUse(model='bu-2-0')  # Use BU2 instead; requires BROWSER_USE_API_KEY
    agent = Agent(
        task="Find the number of stars of the browser-use repo",
        llm=llm,
        # browser=Browser(use_cloud=True),  # Use a cloud browser; requires BROWSER_USE_API_KEY
    )
    history = await agent.run()
    print(history.final_result())

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

To use BU2, replace the ChatOpenAI line with the commented ChatBrowserUse line. The cloud-browser option works with either model.

4. Run it:

uv run agent.py

The agent opens a browser, looks up the repository, and prints its answer.

Python library docs ↗

Browser Use Benchmark v2

This very hard benchmark targets the hardest browser tasks. On easier tasks, even smaller models can achieve very high success rates. Results shown are from a 60-task subset of BU Bench V2.

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

FAQ

• Fully Hosted Cloud: Send tasks through the API and let Browser Use run the agent, browser, and infrastructure.
• CLI: Give an existing agent (Claude Code, Codex, Hermes, OpenClaw, Pi, Cursor, etc.) browser access. You can use it interactively or in scripts.
• Python Library: Run the open source agent in your own application, with custom tools, structured output, and your choice of model.

The CLI and Python library can each connect to a local or cloud browser. A cloud browser hosts the browser; the fully hosted API runs the agent as well.

We recommend BU2, our model optimized for browser automation: ChatBrowserUse(model='bu-2-0'). It uses BROWSER_USE_API_KEY; ChatBrowserUse() currently selects the same model.

The best choice depends on your tasks, latency, and budget. See the BU2 model card, benchmark, and supported models and pricing to compare options.

Yes. ChatBrowserUse accepts provider-prefixed model IDs through the Browser Use gateway, using BROWSER_USE_API_KEY:

from browser_use import Agent, ChatBrowserUse

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

You can also use providers directly through wrappers such as ChatOpenAI, ChatAnthropic, and ChatGoogle, with each provider's own API key. See supported models.

No. Agent(...) supplies the Browser Use system prompt automatically, including when you change models. Put your task in task=. Use extend_system_message to add instructions or override_system_message to replace the default prompt when you need custom behavior.

See the custom system prompt example.

Yes. Register a function with Tools and pass it to the agent. This example adds a tool for the current UTC time and uses BROWSER_USE_API_KEY from .env:

import asyncio
from datetime import datetime, timezone

from browser_use import ActionResult, Agent, ChatBrowserUse, Tools
from dotenv import load_dotenv

load_dotenv()
tools = Tools()

@tools.action(description='Get the current date and time in UTC.')
def get_current_time() -> ActionResult:
    return ActionResult(extracted_content=datetime.now(timezone.utc).isoformat())

async def main():
    agent = Agent(
        task="What is the current UTC time?",
        llm=ChatBrowserUse(model='bu-2-0'),
        tools=tools,
    )
    history = await agent.run()
    print(history.final_result())

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

The Python library is free and MIT-licensed. Model inference and hosted browsers are separate: API providers, including ChatBrowserUse, and Browser Use Cloud charge for usage. You can also use a local browser and a local model through Ollama, subject to your hardware and model requirements.

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

• Local browser: Use Browser.from_system_chrome() to reuse a Chrome profile. See the real-browser guide and example.