Enable AI to control your browser 🤖

🌐 Browser-use is the easiest way to connect your AI agents with the browser.

💡 See what others are building and share your projects in our Discord! Want Swag? Check out our Merch store.

🌤️ Skip the setup - try our hosted version for instant browser automation! Try the cloud ☁︎.

Quick start

With pip (Python>=3.11):

pip install browser-use

For memory functionality (requires Python<3.13 due to PyTorch compatibility):

pip install "browser-use[memory]"

Install Patchright:

patchright install chromium

Spin up your agent:

from langchain_openai import ChatOpenAI
from browser_use import Agent
import asyncio
from dotenv import load_dotenv
load_dotenv()

async def main():
    agent = Agent(
        task="Compare the price of gpt-4o and DeepSeek-V3",
        llm=ChatOpenAI(model="gpt-4o"),
    )
    await agent.run()

asyncio.run(main())

Add your API keys for the provider you want to use to your .env file.

OPENAI_API_KEY=
ANTHROPIC_API_KEY=
AZURE_OPENAI_ENDPOINT=
AZURE_OPENAI_KEY=
GEMINI_API_KEY=
DEEPSEEK_API_KEY=
GROK_API_KEY=
NOVITA_API_KEY=

For other settings, models, and more, check out the documentation 📕.

Test with UI

You can test browser-use with a UI repository

Or simply run the gradio example:

uv pip install gradio

python examples/ui/gradio_demo.py

Demos

Task: Add grocery items to cart, and checkout.

Prompt: Add my latest LinkedIn follower to my leads in Salesforce.

Prompt: Read my CV & find ML jobs, save them to a file, and then start applying for them in new tabs, if you need help, ask me.'

apply.to.jobs.8x.mp4

Prompt: Write a letter in Google Docs to my Papa, thanking him for everything, and save the document as a PDF.

Prompt: Look up models with a license of cc-by-sa-4.0 and sort by most likes on Hugging face, save top 5 to file.

hugging_face_high_quality.mp4

More examples

For more examples see the examples folder or join the Discord and show off your project.

Vision

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

Roadmap

Agent

• Improve agent memory to handle +100 steps
• Enhance planning capabilities (load website specific context)
• Reduce token consumption (system prompt, DOM state)

DOM Extraction

• Enable detection for all possible UI elements
• Improve state representation for UI elements so that all LLMs can understand what's on the page

Workflows

• Let user record a workflow - which we can rerun with browser-use as a fallback
• Make rerunning of workflows work, even if pages change

User Experience

• Create various templates for tutorial execution, job application, QA testing, social media, etc. which users can just copy & paste.
• Improve docs
• Make it faster

Parallelization

• Human work is sequential. The real power of a browser agent comes into reality if we can parallelize similar tasks. For example, if you want to find contact information for 100 companies, this can all be done in parallel and reported back to a main agent, which processes the results and kicks off parallel subtasks again.

Contributing

We love contributions! Feel free to open issues for bugs or feature requests. To contribute to the docs, check out the /docs folder.

Local Setup

To learn more about the library, check out the local setup 📕.

main is the primary development branch with frequent changes. For production use, install a stable versioned release instead.

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Swag

Want to show off your Browser-use swag? Check out our Merch store. Good contributors will receive swag for free 👀.

Citation

If you use Browser Use in your research or project, please cite:

@software{browser_use2024,
  author = {Müller, Magnus and Žunič, Gregor},
  title = {Browser Use: Enable AI to control your browser},
  year = {2024},
  publisher = {GitHub},
  url = {https://github.com/browser-use/browser-use}
}

Made with ❤️ in Zurich and San Francisco