每日备份 2026-06-10 12:57:13

config/openclaw/skills/deep-scraper/SKILL.md

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+# 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.