AutoMouser

AutoMouser is a Chrome extension that turns your browser actions into reusable Selenium test scripts with just one AI call. Unlike typical web automation tools that rely on constant AI interaction, AutoMouser generates a complete, standalone Python script that you can run anytime, anywhere - no further AI calls needed.

What Makes Us Different?

Most web automation tools using AI require constant communication with large language models - every time you run a test, you're making API calls. AutoMouser is different:

• One Call: Generate your test script once and run it unlimited times
• Precise Replay: Every click, input, and scroll is captured exactly as performed

Installation

1. Clone this repository or download the source code
2. Copy .env.example to .env and add your API keys:

   {
       "active_model": "gpt4",  // Choose which model to use
       "models": {
           "gpt4": {
               "api_key": "your-openai-api-key-here"
           },
           "deepseek": {
               "api_key": "your-deepseek-api-key-here"
           }
           // Add other model keys as needed
       }
   }

   Note: The actual .env file is gitignored to protect your API keys. Never commit it to version control.
3. Replace or edit SELENIUM_PROMPT with your desired prompt template in prompt.js if needed
4. Open Chrome and navigate to chrome://extensions/
5. Enable "Developer mode" in the top right
6. Click "Load unpacked" and select the extension directory

Usage

1. Click the AutoMouser icon to start recording
2. Perform the actions you want to automate
3. Click the icon again to generate your script
4. Get two files:
   • selenium_test.py: Your reusable test script
   • tracking_log.json: Raw interaction data (for debugging)
5. Run your script anytime without needing AI!

The key difference: Once generated, your test script is completely independent. No more API calls, no more tokens, no more waiting for AI responses. Just pure, efficient automation.

Environment Configuration

The extension uses a JSON-based environment configuration to manage LLM API keys:

• .env.example: Template showing the required structure (safe to commit)
• .env: Your actual configuration with real API keys (never commit this!)

Supported models:

• GPT-4 (OpenAI)
• GPT-3.5 (OpenAI)
• Deepseek

To use a different model, simply change the active_model in your .env file and provide the necessary API key. If you want to add a custom model, please refer to the llm_service.js file for the required structure.

Contributing

Contributions are welcome! Please feel free to submit pull requests, create issues, or suggest improvements. For any questions, please create an issue in the repository.