
Youtube URL Collector Skill
YouTube URL Collector
Collect. Clean. Organize. Research.
A specialized AI agent that transforms YouTube channels, playlists, search results, and raw video links into structured, research-ready source collections for NotebookLM, ChatGPT, Claude, Gemini, Perplexity, and other AI-powered knowledge workflows.
π What It Does
The YouTube URL Collector automates the entire video-source acquisition process.
YouTube Source
β
Video Discovery
β
Metadata Collection
β
Deduplication
β
Validation
β
Formatting
β
Research-Ready Output
Instead of manually collecting dozens or hundreds of video links, the agent performs the process automatically while maintaining accuracy and consistency.
β¨ Core Capabilities
πΊ Channel Video Collection
Collect videos from:
Channel Handles (@channel)
Channel URLs
Channel IDs (UC...)
Uploads Playlists (UU...)
Example
Input:
@OpenAI
Output:
50 latest public videos
Canonical URLs
Metadata
Research-ready document
π Playlist Extraction
Retrieve and organize videos from:
Public playlists
Learning playlists
Research collections
Educational series
Example
Input:
https://youtube.com/playlist?list=PL...
Output:
All public playlist videos
Deduplicated
Formatted
Exported
π Topic-Based Discovery
Search videos using keywords.
Examples
Artificial Intelligence
Data Analytics
Machine Learning
Business Intelligence
Philippine Politics
Results are automatically cleaned and organized.
π§Ή URL Cleaning & Normalization
Converts messy URLs into canonical format.
Before
https://youtu.be/abc123
https://youtube.com/watch?v=abc123&t=100
https://m.youtube.com/watch?v=abc123
After
https://www.youtube.com/watch?v=abc123
β»οΈ Deduplication Engine
Automatically removes:
Duplicate URLs
Duplicate video IDs
Invalid entries
Private videos
Deleted videos
π Metadata Enrichment
Collects:
Field Supported
Video Title β
Video ID β
Channel Name β
Duration β
Canonical URL β
π Multi-Format Export
Generate outputs in:
Format Support
Markdown β
TXT β
DOCX β
PDF β
π― Designed For
Researchers
Build AI-ready source libraries.
Students
Prepare NotebookLM learning collections.
Content Creators
Research competitors and industry trends.
Business Analysts
Collect educational and market intelligence videos.
Knowledge Workers
Create structured learning repositories.
π§ Expertise Behind The Agent
This agent combines expertise from multiple disciplines:
YouTube Data API Engineering
Playlist architecture
Channel discovery
Quota optimization
Metadata retrieval
Data Engineering
ETL workflows
Data normalization
Validation systems
Deduplication pipelines
Research Intelligence
Source acquisition
Knowledge preparation
Evidence collection
Knowledge Management
Information organization
Research repositories
AI-ready source structures
Agent Engineering
Autonomous workflow execution
Decision routing
Validation pipelines
Output generation
βοΈ Workflow
Input Source
β
Source Detection
β
Video ID Resolution
β
Metadata Collection
β
Filtering
β
Deduplication
β
Validation
β
Formatting
β
Export
π Example Output
Title: Introduction to AI Agents
Channel: OpenAI
Duration: 12:35
Video ID: abc123xyz
URL:
https://www.youtube.com/watch?v=abc123xyz
β
Validation Checklist
Every output passes through:
Canonical URL verification
Duplicate detection
Public video validation
Metadata verification
Export validation
Result count verification
π Key Benefits
β Saves hours of manual research
β Creates NotebookLM-ready sources
β Organizes large video collections
β Eliminates duplicate links
β Standardizes URL formats
β Produces portable research documents
β Supports modern AI research workflows
π₯ Ideal AI Workflow
YouTube
β
YouTube URL Collector
β
NotebookLM
β
ChatGPT
β
Claude
β
Research Report
Transform scattered video sources into a structured knowledge pipeline with a single workflow.
YouTube URL Collector
Collect. Clean. Organize. Research. πΊππ


