Interesting, DeepSeek automates browser operations! Now open source!

AI technology is developing rapidly, and amazing applications are constantly emerging. Today, I want to share with you a very interesting open source project - browser-use . With the powerful capabilities of DeepSeek, it realizes AI automated browser operation, making tasks such as web crawling, automated testing and data collection easier than ever before. At present, the number of stars of this project on GitHub has reached  35.7K , which shows its popularity.

Introduction to browser-use

Browser-use  is a tool that connects AI agents to browsers. Through it, AI can directly control the browser and perform various complex operations, such as web crawling, automated testing, and data collection. In the past, these tasks usually required developers to write and maintain cumbersome scripts involving XPath, regular expressions, or CSS selectors, which was time-consuming and laborious. Now, with browser-use, these steps are no longer necessary, and AI can easily handle it, greatly improving work efficiency.

In short, the core advantages of browser-use are:

Installation and Usage

Install

To start using browser-use, first make sure your development environment meets the following requirements:

pip install browser-use
playwright install

playwright It is a powerful browser automation tool, browser-use relies on it to implement browser control functions. After the installation is complete, you can start to experience the fun of AI automation!

Usage Examples

Here is a simple Python script example showing how to use browser-use to have AI automatically add grocery items to a shopping cart and check out:

from  langchain_openai  import  ChatOpenAI
from  browser_use  import  Agent
import  asyncio

if  __name__ ==  '__main__' :
    # Initialize the language model
    llm = ChatOpenAI(
        model = "deepseek-ai/DeepSeek-V2.5" ,   # Specify the model provided by DeepSeek
        api_key = "your_api_key" ,             # replace with your API key
        base_url = "https://api.siliconflow.cn" # Specify the API base URL
    )

    # Define asynchronous main function
    async def main ():
        # Create an Agent instance
        agent = Agent(
            task = "Add grocery items to cart and check out" ,   # Define specific tasks
            llm=llm,           # Use the specified language model
            use_vision= False # Whether to enable vision function (currently not used)
        )
        # Execute the task and get the result
        result =  await  agent.run()
        # Print results
        print (result)

    # Run the asynchronous main function
    asyncio.run(main())

Code analysis:

After running this code, the AI ​​will automatically open the browser and complete the shopping task without any human intervention!

Examples and Demos

The application scenarios of browser-use are very rich. The following are two typical examples:

Add items to cart and check out

Imagine you need to buy some groceries from a shopping website. Just tell the browser-use what you need, and the AI ​​agent will:

For online shopping enthusiasts, this feature is a boon, saving both time and effort.

Correspondence and document processing

Another interesting example is writing a letter in Google Docs. Suppose you need to write a thank you letter and save it as a PDF. browser-use can:

The whole process was smooth and error-free, and the efficiency was amazing.

What does the future hold?

The emergence of browser-use is just a microcosm of the AI ​​automation wave, which shows us the great potential of AI in simplifying tedious tasks. With the advancement of technology, AI is likely to replace some simple and repetitive tasks in the future, such as:

Of course, this also means that we need to rethink our future work model and embrace the opportunities brought by AI.