| name | youtube-scrapper |
| description | A skill for discovering and scraping YouTube channels based on categories and locations without requiring API keys or login. |
YouTube Scrapper Skill
This skill provides a resilient pipeline for discovering YouTube channels via Google Search and scraping detailed channel metadata (subscribers, views, description, recent videos) using Playwright.
Capabilities
- Channel Discovery: Finds YouTube channels by searching for specific categories and locations (e.g., "India tech influencer").
- Detailed Scraping: Extracts channel info including subscriber count, view count, video count, joined date, country, and recent video metadata.
- Anti-Detection: Built-in mechanisms to mimic human behavior and bypass basic bot detection.
- Orchestration: Seamlessly transitions from discovery to scraping with progress tracking and failure recovery.
Prerequisites
- Python 3.8+
- Playwright: Required for browser automation.
- Dependencies:
pip install playwright aiohttp python-dotenv Pillow tqdm
- Playwright Browsers:
playwright install chromium
Usage
1. Simple Discovery
Run the discovery script to find channels and create a queue file:
python scripts/youtube_channel_discovery.py --categories tech --locations India
2. Scraping a Queue
Once a queue file is created (in data/queue/), run the scraper:
python scripts/youtube_channel_scraper.py --queue data/queue/your_queue_file.json
3. Full Orchestration
Run both discovery and scraping in one go:
python scripts/youtube_orchestrator.py --config resources/scraper_config_ind.json
Configuration
The skill uses JSON configuration files in the config/ directory to manage regional searches and delays.
Output
- Data: Scraped channel data is saved in
data/output/ as JSON files.
- Thumbnails: Downloaded profile pictures, banners, and video thumbnails are saved in
thumbnails/.
- Progress: Orchestration and discovery progress are tracked in
data/progress/.
