What this skill does

# Skill: deep-scraper ## Overview A high-performance engineering tool for deep web scraping. It uses a containerized Docker + Crawlee (Playwright) environment to penetrate protections on complex websites like YouTube and X/Twitter, providing "interception-level" raw data. ## Requirements 1. **Docker**: Must be installed and running on the host machine. 2. **Image**: Build the environment with the tag `clawd-crawlee`. * Build command: `docker build -t clawd-crawlee skills/deep-scraper/` ## Integration Guide Simply copy the `skills/deep-scraper` directory into your `skills/` folder. Ensure the Dockerfile remains within the skill directory for self-contained deployment. ## Standard Interface (CLI) ```bash docker run -t --rm -v $(pwd)/skills/deep-scraper/assets:/usr/src/app/assets clawd-crawlee node assets/main_handler.js [TARGET_URL] ``` ## Output Specification (JSON) The scraping results are printed to stdout as a JSON string: - `status`: SUCCESS | PARTIAL | ERROR - `type`: TRANSCRIPT | DESCRIPTION | GENERIC - `videoId`: (For YouTube) The validated Video ID. - `data`: The core text content or transcript. ## Core Rules 1. **ID Validation**: All YouTube tasks MUST verify the Video ID to prevent cache contamination. 2. **Privacy**: Strictly forbidden from scraping password-protected or non-public personal information. 3. **Alpha-Focused**: Automatically strips ads and noise, delivering pure data optimized for LLM processing.