Browser-use: Let AI take control of your browser and start a new era of automation!

Introduction:

Have you ever thought about letting AI help you complete tedious browser operations? Browser-use is here! This tool allows AI to directly control your browser, from shopping price comparison to automatically filling out forms, and even helping you apply for jobs, everything can be easily done. Whether you are a developer, researcher, or ordinary user, Browser-use can bring you an unprecedented automation experience. This article will give you a comprehensive analysis of Browser-use's functions, usage methods, and future plans, and take you to appreciate the infinite possibilities of combining AI with browsers!

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1.  Core functions of Browser-use

• •  Browser automation : Control the browser through AI to complete complex tasks such as shopping, filling out forms, applying for jobs, etc.
• •  Multi-task support : Supports multiple task types, including data extraction, form filling, file saving, etc.
• •  Seamless integration : Seamless integration with tools such as LangChain and OpenAI to easily build AI-driven browser automation processes.
• •  Cloud and local support : Provide cloud version and local deployment options to meet different user needs.

2.  Quick Start

In just a few steps, you can let AI take control of your browser:

1. 1.  Install Browser-use :

   pip install browser-use

2. 2.  Install Playwright :

   playwright install

3. 3.  Start your AI 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())

4. 4.  Add API key :.envAdd your OpenAI API key to the file:

   OPENAI_API_KEY=your_api_key

3.  UI testing and examples

• •  Gradio example : Quickly test the Browser-use functionality through the Gradio interface:

  uv pip install gradio
  python examples/ui/gradio_demo.py

• •  Task examples :
• •  Shopping Task : Add items to the shopping cart and check out.
• •  LinkedIn Tasks : Add your newest LinkedIn followers to your prospect list in Salesforce.
• •  Job search tasks : Read resumes, find machine learning jobs and save to file, then apply for jobs in a new tab.
• •  Document Task : Write a thank-you letter in Google Docs and save it as a PDF.

4.  Future Planning

• •  Enhanced agent capabilities : improved memory function, enhanced planning capabilities, and reduced token consumption.
• •  DOM extraction optimization : Improve the ability to extract special elements such as date pickers and drop-down menus.
• •  Datasets and Benchmarks : Create datasets for complex tasks and benchmark different models.
• •  User experience improvements : Improve GIF generation quality and create more tutorial examples.

5.  Contribution and Cooperation

• •  Contribution Guide : Feel free to submit issues and feature requests, or participate in documentation writing.
• •  Collaboration opportunities : We are forming a committee to explore how to improve the performance of AI agents through UI/UX design. If you are interested, please contact Toby to apply to join.

6.  References and Acknowledgements

If you use Browser-use in your research, please cite the following:

@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}
}