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Gpu Cluster Monitor

A high-performance engineering tool for deep web scraping.

Rating: 4.1 (179 reviews)
Downloads: 640 downloads
Version: 1.0.0

Overview

A high-performance engineering tool for deep web scraping.

Complete Documentation

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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

Docker: Must be installed and running on the host machine.
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

ID Validation: All YouTube tasks MUST verify the Video ID to prevent cache contamination.
Privacy: Strictly forbidden from scraping password-protected or non-public personal information.
Alpha-Focused: Automatically strips ads and noise, delivering pure data optimized for LLM processing.