ramforth/youtube-chat-webhook-v2
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README.md

YouTube Chat Webhook Listener (Version 2) - Research Phase

This project is currently in a research phase to identify the most robust, quota-friendly, open-source, and Linux-compatible solutions for monitoring YouTube Live Chat. The goal is to gather comprehensive data to inform the development of a long-term solution that avoids the limitations of continuous API polling.

Project Goal

To conduct deep research into various methods for obtaining YouTube Live Chat data, prioritizing open-source and Linux-compatible solutions, with a focus on minimizing or eliminating YouTube Data API v3 quota consumption for sustained live stream monitoring. The gathered information will be used by a separate AI product to inform future development.

Deep Research Plan

The research will focus on the following key areas:

1. YouTube Data API v3 - Deeper Dive

  • Focus: Exhaustive search for official, quota-friendly API endpoints or features.
  • Key Questions: Are there any less-documented ways to get live chat data? What are the exact quota costs for all relevant live streaming API calls? Are there any official recommendations from YouTube for long-term live chat monitoring? Can quota increases be requested?

2. Third-Party Webhook/Event-Driven Solutions

  • Focus: Identify and analyze third-party services that provide webhook notifications for YouTube Live Chat.
  • Key Questions: Which platforms offer YouTube Live Chat webhooks? How do they work, what are their limitations, and what are their costs? How do they bypass or manage YouTube's API quota?

3. Unofficial/Scraping Methods

  • Focus: Investigate methods to obtain live chat data outside of the official API.
  • Key Questions: Are there any known unofficial APIs or methods to scrape live chat data? What are the technical challenges, ethical considerations, and legality (YouTube's ToS)?

4. Client-Side/Browser-Based Solutions

  • Focus: Explore methods involving browser automation or extensions.
  • Key Questions: Can headless browsers be used to extract live chat data? Are there existing browser extensions? What are the resource requirements and reliability?

5. Advanced Quota Management & Optimization

  • Focus: Strategies to minimize quota usage within a polling model, if no event-driven solution is found.
  • Key Questions: What API parameters can reduce quota cost? Can intelligent polling be implemented? Are there any caching strategies?

Prioritization: All research will prioritize open-source and Linux-compatible solutions.

Next Steps: The findings from this research will be compiled into a structured document and utilized by a separate AI product to inform the design and implementation of a robust YouTube Live Chat monitoring solution.

Dependencies

  • Flask (for potential webhook server research)
  • rich (for terminal display research)
  • ngrok (for local webhook testing research)

Future Enhancements

  • Interactive message sending via webhook (if supported by the third-party service).
  • More advanced terminal UI (e.g., prompt_toolkit for input).
  • Web overlay integration.
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