Simplifies browser automation by providing pre-computed element selectors and structured page interaction manuals.
Core Actionbook is a specialized skill designed to optimize browser-based AI workflows by replacing expensive HTML parsing with a registry of pre-computed action manuals. It provides agents with structured page information, including precise CSS/XPath selectors and allowed interaction methods (click, type, extract), which drastically reduces token consumption and improves the reliability of web automation. By leveraging hybrid search capabilities, developers can quickly retrieve specific selectors for complex web tasks, making it an essential tool for building robust web scraping and automation agents.
Key Features
010 GitHub stars
02Structured element metadata including interaction types and allowed methods
03Reduced token overhead by bypassing raw DOM parsing
04Instant retrieval of pre-computed CSS and XPath selectors
05Detailed URL-based action IDs with content previews and relevance scores
06Hybrid search (vector and full-text) for finding specific web actions
Use Cases
01Automating complex multi-step web workflows like logins or form submissions
02Enhancing the accuracy of AI agents performing browser-based tasks
03Building reliable web scraping scripts without manual selector identification
