I need a solid integration with the YouTube Data API that can pull public comment threads—plus replies—for any video or channel I specify and make that data ready to display on my own platform. Core needs • Authenticate with the YouTube Data API v3 and respect quota limits. • Retrieve full comment text, author name, timestamp, like count, and parent/child hierarchy. • Handle pagination so nothing is missed, even on videos with thousands of comments. • Return the results as clean, well-structured JSON that my front-end team can consume directly. • Include basic data-quality checks (e.g., strip broken markup, flag deleted comments). • Build in simple analytics hooks (total comment count, top commenters, most-liked comments) so I can surface quick insights later. Delivery expectations 1. Well-documented codebase—language is flexible; Python or Node.js preferred. 2. Step-by-step setup notes covering API key creation, quotas, and running the script locally or on a server. 3. Sample call and sample JSON response for at least one high-traffic YouTube video. 4. Short read-me describing how to adjust parameters (video ID vs. channel ID) and how to extend the analytics section. Timeline is straightforward—I’d like a functional prototype within a week, with room for refinements after initial tests.