YouTube Comment Insights
Pricing
from $80.00 / 1,000 video comments analyzeds
YouTube Comment Insights
Analyze YouTube video comments into per-video audience insights. Sentiment breakdown, top keywords, requested topics, questions, and complaints.
Pricing
from $80.00 / 1,000 video comments analyzeds
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Developer
Andrew
Maintained by CommunityActor stats
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2
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1
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a day ago
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Turn any YouTube video's comments into a single, ready-to-read audience report — sentiment breakdown, most-requested topics, top questions, recurring complaints, and the comments that resonated most. You get the insight layer, not a raw comment dump.
What you get
For every video you submit, one summary record containing:
- Sentiment breakdown — positive, negative, and neutral percentages plus a single sentiment score, computed with a transparent positive/negative word lexicon
- Top keywords — the 15 most frequently discussed content words across the comments, each with a count
- Most-requested topics — comments where viewers ask the creator to do, make, or cover something, with examples and a total request count
- Top questions — the highest-liked questions your audience is asking
- Recurring complaints — comments flagged for common gripes (clickbait, too long, boring, audio issues, and more) with examples and a count
- Most-liked comments — the top 10 comments by like count, with author and likes
- Video context — title, channel, view count, reported comment count, and how many comments were analyzed
- Export to JSON, CSV, or Google Sheets directly from the Apify console
Use cases
- Content planning — see exactly which topics your audience is asking for next
- Audience research — measure how viewers feel about a video at a glance
- Competitor analysis — analyze a rival channel's videos to find unmet audience demand
- Community management — surface the most-liked questions and complaints worth a reply
- Creator vetting — gauge real audience reception before a sponsorship or collaboration
How it works
Comments are scored with deterministic keyword and sentiment heuristics — a hand-built lexicon of positive and negative words plus pattern matching for requests, questions, and complaints. Results are fully reproducible: the same comments always produce the same report.
How to use
- Paste one or more YouTube video URLs or 11-character video IDs into Video URLs or IDs (watch links,
youtu.belinks, and Shorts links all work) - Set Max Comments Per Video (default 200; up to 1000) — more comments means richer insights
- Choose Comment Order — Relevance for top/most-engaged comments, or Newest for the latest
- Run the actor — one insight record per video appears in the Dataset tab
If a video has comments turned off, its row is returned with a comments_disabled status so the rest of your batch still completes.
Output format
One dataset record per video:
{"videoId": "0e3GPea1Tyg","videoUrl": "https://www.youtube.com/watch?v=0e3GPea1Tyg","videoTitle": "Example video title","channelTitle": "Example Channel","viewCount": 12000000,"commentCountReported": 48000,"commentsAnalyzed": 200,"totalCommentLikes": 35210,"sentimentPositivePct": 61.5,"sentimentNegativePct": 12.0,"sentimentNeutralPct": 26.5,"sentimentScore": 0.5,"topKeywords": [{ "keyword": "editing", "count": 18 }],"topRequests": {"count": 14,"examples": [{ "text": "Please do a video on...", "author": "viewer", "likeCount": 320 }]},"topQuestions": [{ "text": "How did you make this?", "author": "viewer", "likeCount": 88 }],"complaints": {"count": 6,"examples": [{ "text": "This was too long", "author": "viewer", "likeCount": 12 }]},"mostLikedComments": [{ "text": "Best video yet!", "author": "viewer", "likeCount": 1500 }],"status": "success","error": null}
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