🌐 Make websites accessible for AI agents. Automate tasks online with ease.
npx skills add https://github.com/browser-use/browser-use --skill remote-browserInstale esta skill com a CLI e comece a usar o fluxo de trabalho SKILL.md em seu espaço de trabalho.
🌤️ Want to skip the setup? Use our cloud for faster, scalable, stealth-enabled browser automation!
1. Create environment and install Browser-Use with uv (Python>=3.11):
uv init && uv add browser-use && uv sync
# uvx browser-use install # Run if you don't have Chromium installed
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:
from browser_use import Agent, Browser, ChatBrowserUse
# from browser_use import ChatGoogle # ChatGoogle(model='gemini-3-flash-preview')
# from browser_use import ChatAnthropic # ChatAnthropic(model='claude-sonnet-4-6')
import asyncio
async def main():
browser = Browser(
# use_cloud=True, # Use a stealth browser on Browser Use Cloud
)
agent = Agent(
task="Find the number of stars of the browser-use repo",
llm=ChatBrowserUse(),
# llm=ChatGoogle(model='gemini-3-flash-preview'),
# llm=ChatAnthropic(model='claude-sonnet-4-6'),
browser=browser,
)
await agent.run()
if __name__ == "__main__":
asyncio.run(main())
Check out the library docs and the cloud docs for more!
We benchmark Browser Use across 100 real-world browser tasks. Full benchmark is open source: browser-use/benchmark.
Use the Open-Source Agent
Use the Fully-Hosted Cloud Agent (recommended)
https://github.com/user-attachments/assets/a6813fa7-4a7c-40a6-b4aa-382bf88b1850
https://github.com/user-attachments/assets/ac34f75c-057a-43ef-ad06-5b2c9d42bf06
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 quicklyadvanced - All configuration options with detailed commentstools - Examples of custom tools and extending the agentYou can also specify a custom output path:
uvx browser-use init --template default --output my_agent.py
Fast, persistent browser automation from the command line:
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 for all commands.
For Claude Code, install the skill to enable AI-assisted browser automation:
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
We optimized ChatBrowserUse() specifically for browser automation tasks. On avg it completes tasks 3-5x faster than other models with SOTA accuracy.
Pricing (per 1M tokens):
For other LLM providers, see our supported models documentation.
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.
Yes! You can add custom tools to extend the agent's capabilities:
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,
)
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).
This open-source library is licensed under the MIT License. For Browser Use services & data policy, see our Terms of Service and Privacy Policy.
Check out our authentication examples:
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.
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.
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: