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Series 1: Interacting with YouTube via API

🎯 Focus: Getting the Raw Materials

In this series, we'll learn how to interact with the YouTube API to fetch the data we need for our bot. This is the foundation - we're getting the raw materials that our bot will work with.

📚 Topics Covered

Setting up GCP Credentials

  • Create a Google Cloud Project
  • Enable YouTube Data API v3
  • Generate OAuth 2.0 credentials
  • Store and manage API keys securely

Fetching Comments

  • Query YouTube video comments using the API
  • Filter and parse comment data
  • Handle pagination for large comment sets
  • Best practices for API rate limiting

Authentication

  • Implement OAuth 2.0 authentication flow
  • Handle refresh tokens
  • Manage token expiration and renewal

Posting a Test Reply

  • Structure reply payloads
  • Post your first programmatic reply to a YouTube comment
  • Handle success and error responses

🚀 What You'll Build

By the end of this series, you'll have: - ✅ A working GCP setup with YouTube API access - ✅ Code that fetches comments from a target video - ✅ Authentication flow that handles credentials - ✅ Ability to post test replies programmatically

📝 Prerequisites

  • Basic Python knowledge
  • Google account with ability to create GCP projects
  • Understanding of APIs and HTTP requests

🎬 Watch the Video Series

Follow along with the YouTube videos and use this guide to: - Copy code snippets - Reference configuration steps - Troubleshoot common issues

Next Step: Follow the video to set up your GCP project, then return here for code examples and detailed explanations.