YouTube Comments AI Analyzer — sentiment, viewer questions, content ideas

🎁 Free trial until Nov 20, 2026: your first video report is free (up to 1,000+ comments analyzed, no charge). After that, $0.02 per report + $0.001 per comment.

Paste a YouTube video (or Shorts) link and get an audience-research report from its comments in about 2–3 minutes — no login, no API key, no coding.

You get	Details
😀 Sentiment breakdown	% positive / neutral / negative, also weighted by likes (what the crowd agrees with)
🗂️ Every comment labeled	sentiment, category (praise, question, request, complaint, criticism, story, joke, discussion, spam) and topic
🧭 Themes	4–8 recurring themes with share of comments, a one-line insight and real example comments
❓ Top viewer questions	deduplicated, most-liked first — ready for an FAQ or a follow-up video
💡 Requests & content ideas	what this audience wants to see next
⚠️ Complaints	audio, ads, length, product issues — the things to fix
❤️ What viewers love	what to keep doing
✅ Recommended actions	practical next steps for the creator or brand
🌐 Translation (optional)	the whole report in ja, es, de, fr, pt-BR, zh, ko …

Use it for creator strategy, competitor research, product feedback from review videos, brand monitoring, influencer vetting, or market research — and as a tool for AI agents (works through Apify MCP).

Why this one

• Insights, not just a dump of comments. Scrapers give you 1,000 rows; this gives you the 10 things that matter, with the evidence.
• Privacy-friendly. Commenter names, handles and profile links are never included in the output — only the comment text, likes and labels.
• Any language. Comments in Japanese, Spanish, Hindi, etc. are understood; the report is in English (translation optional).
• Simple pricing. $0.02 per video report + $0.001 per comment analyzed. 1,000 comments ≈ $1.02, 300 comments ≈ $0.32. Failed videos are free.

Input

{ "videoUrls": ["https://www.youtube.com/watch?v=MiUHjLxm3V0"], "maxComments": 1000, "sortBy": "top", "includeComments": true, "translateTo": "" }

Output (one item per video, real example shortened)

{
  "source": "https://www.youtube.com/watch?v=MiUHjLxm3V0",
  "status": "ok",
  "meta": {"title": "The Closest Thing We Have to Alien Technology", "channel": "…", "view_count": 0, "comment_count": 0},
  "comments_analyzed": 1000,
  "sentiment_pct": {"pos": 47.8, "neu": 49.6, "neg": 2.6},
  "like_weighted_sentiment_pct": {"pos": 43.0, "neu": 52.6, "neg": 4.4},
  "categories_pct": {"praise": 43.4, "discussion": 22.8, "joke": 11.3, "question": 5.4, "complaint": 0.9},
  "top_topics": [{"topic": "video quality", "count": 57}, {"topic": "machine cost", "count": 6}],
  "summary": ["Viewers express awe at the complexity of EUV lithography …", "Many industry professionals shared first-hand stories …"],
  "themes": [{"theme": "Awe and Technical Complexity", "sentiment": "positive", "share_pct": 25,
              "insight": "Many users are mesmerized by the scale of engineering required …",
              "examples": ["I'm an engineer, and every single solution ASML had to a problem is …"]}],
  "top_questions": ["Why did the technology change from X-ray lithography to EUV?", "How do they manage vibration at such a microscopic scale?"],
  "requests_and_ideas": ["A deep dive into Zeiss optics", "The history of DUV technology"],
  "complaints": ["Repetitive and intrusive advertisements", "Caption errors ('sea crystal' instead of 'seed crystal')"],
  "what_viewers_love": ["…"], "content_ideas": ["…"], "recommended_actions": ["…"],
  "comments": [{"text": "\"How often do you miss?\" \"We don't\" damn", "likes": 48000, "sentiment": "neu", "category": "other", "topic": "quote", "by_creator": false, "pinned": false}],
  "translation": {"lang": "ja", "summary": ["…"], "themes": ["…"]}
}

Pricing (pay per event)

• Video report: $0.02 per successfully analyzed video
• Comment analyzed: $0.001 per comment (you control the number with maxComments)
• Report translation (only if translateTo is set): +$0.01 per video

Notes

• Top-level comments are analyzed (replies are not). Up to 5,000 per video.
• Videos with comments turned off, private or removed videos return status: "error" and are not charged.
• Typical speed: 1,000 comments in about 2–3 minutes.

More tools from Brain Spice

• Video Transcript + On-screen Text + Hook & Summary AI — TikTok / Reels / Shorts breakdown, $0.01 per video
• Podcast & Audio Transcript with Speakers, Chapters, SRT — who said what + chapters, $0.008 per minute
• YouTube Comments AI Analyzer — sentiment, viewer questions, content ideas, $1 per 1,000 comments

Use it from code, n8n, Make or an AI agent

API (one call, waits for the result):

curl -X POST "https://api.apify.com/v2/acts/vidlens~youtube-comments-ai-analyzer/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"videoUrls": ["https://www.youtube.com/watch?v=..."]}'

Python:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("vidlens/youtube-comments-ai-analyzer").call(run_input={"videoUrls": ["https://www.youtube.com/watch?v=..."]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• n8n: use the Apify node → "Run actor and get dataset", actor vidlens/youtube-comments-ai-analyzer.
• Make / Zapier: use the Apify app → "Run an Actor", then "Get dataset items".
• AI agents (Claude, ChatGPT, Cursor): available through the Apify MCP server (https://mcp.apify.com) — add vidlens/youtube-comments-ai-analyzer as a tool.