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Add comprehensive Loom video download research document (CONTRIBUTING.md)#23

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Add comprehensive Loom video download research document (CONTRIBUTING.md)#23
devinschumacher with Copilot wants to merge 1 commit into
mainfrom
copilot/fix-a5e8389d-6bc5-4359-ab4a-727e1c4c4de1

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Copilot AI commented Sep 10, 2025

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This PR adds a comprehensive research document analyzing Loom's video infrastructure and download methodologies to support the integration of Loom video downloading capabilities into the Skool downloader extension.

Overview

The new CONTRIBUTING.md file provides developers with detailed technical analysis and practical implementation guidance for downloading Loom videos using industry-standard tools like yt-dlp, ffmpeg, and alternative solutions.

Key Features

Technical Infrastructure Analysis

  • Multi-CDN Architecture: Documents Loom's use of AWS CloudFront and Fastly CDNs with specific domain patterns and failover strategies
  • URL Pattern Recognition: Comprehensive regex patterns for extracting video IDs from various Loom embed formats
  • Stream Format Analysis: Detailed breakdown of MP4, WebM, and HLS stream formats with quality levels and codec information

Practical Implementation Guidance

  • Command-line Examples: Over 100 specific command examples for yt-dlp, ffmpeg, wget, and curl
  • Hierarchical Download Strategy: Multi-tier approach with primary, secondary, and backup methods
  • Error Handling: Robust retry mechanisms with exponential backoff and rate limiting
  • Batch Processing: Parallel download techniques with progress monitoring

Advanced Features

  • Browser Automation: Puppeteer/Playwright integration for complex scenarios
  • Network Monitoring: Traffic analysis techniques for identifying video URLs
  • Performance Optimization: CDN speed testing, bandwidth management, and resource monitoring
  • Mobile Integration: Android ADB and iOS monitoring methods

Integration Support

  • Modular Architecture: Recommendations for integrating with existing Skool downloader codebase
  • Configuration Management: YAML configuration examples for quality selection and network settings
  • Logging and Analytics: Comprehensive monitoring and reporting capabilities

Document Structure

The research document follows academic paper format with:

  • Abstract and methodology
  • 10 comprehensive sections covering all aspects of Loom video downloading
  • Detailed troubleshooting guides for common issues and edge cases
  • Security and compliance considerations
  • Future research directions and maintenance guidelines

Impact

This documentation enables developers to:

  1. Understand Loom's technical infrastructure and video delivery mechanisms
  2. Implement reliable video download functionality with multiple fallback strategies
  3. Handle edge cases, rate limiting, and authentication challenges
  4. Optimize performance for various network conditions and use cases
  5. Maintain compliance with terms of service and legal requirements

The document serves as both a technical reference and practical implementation guide for extending the Skool downloader to support Loom videos across all page types (classrooms, community posts, about pages) as mentioned in the project's supported platforms matrix.


💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Copilot AI changed the title [WIP] Research online the various embed URL patterns and stream format types and such that Loom uses. Also research the relevant commands and things from the libraries that we use to download loom videos like ytdlp and ffnpeg. and construct a research docume... Add comprehensive Loom video download research document (CONTRIBUTING.md) Sep 10, 2025
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