Chrome Integration
Enables AI models to control the Chrome browser and perform web automation tasks.
About
This tool provides a protocol for AI models to interface with and control the Chrome browser. It allows for automating web-based tasks through a WebSocket connection. Installation involves setting up both a Chrome extension and a Python server, providing a range of functionalities from page navigation and element interaction to data extraction and system integration. It also enables advanced browser control, including bookmark management, cookie handling, and even system-level access like geolocation and power status.
Key Features
- Offers data extraction and page analysis functionalities
- Manages browser features, including bookmarks and cookies
- Automates web tasks through AI model control
- Enables system integration features like geolocation and screenshots
- Provides page navigation and element interaction capabilities
- 2 GitHub stars
Use Cases
- Web scraping and data collection
- Automated form filling and submission
- Programmatic control of Chrome for AI agents
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