YouTube Video Comments extracts the top-level discussion thread from any public video, returning each comment's author name, author thumbnail, publication date, text, like count, and reply count. This surfaces real audience reaction — questions, complaints, praise, feature requests — without manually scrolling and copy-pasting from the watch page, and the reply count on each comment tells you which threads sparked the most discussion. Comment depth is configurable in increments of 20, so you can pull a quick sample or a deeper set for full sentiment analysis.
1Sentiment analysis: Feed comment text into an LLM to gauge audience reaction to a video or announcement.
2Customer feedback mining: Extract recurring questions and complaints from a product demo video's comments.
3Competitive monitoring: Read how audiences respond to a competitor's video launches.
4Community engagement reporting: Surface the most-liked and most-replied-to comments for a content report.