YouTube comment sentiment & audience report (300 top comments)
Paste a YouTube video URL and get an audience-research report from its top 300 comments: sentiment split (also weighted by likes), recurring themes with example comments, top viewer questions, requests, complaints, what viewers love, and content ideas for the next video. Every comment is labeled too. No login or API key needed.
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Output fields
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The YouTube Comments Scraper + AI Sentiment Analysis & Insights Actor is ready to run with the inputs already set for "YouTube comment sentiment & audience report (300 top comments)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The YouTube Comments Scraper + AI Sentiment Analysis & Insights Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, max comments per video, and more, to match your specific use case.
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Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as source, status, comments analyzed, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "YouTube comment sentiment & audience report (300 top comments)" task via API.
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The YouTube comment sentiment task provides sentiment breakdown, labeled comments, recurring themes, top viewer questions, requests, complaints, and content ideas for future videos.
The YouTube comment sentiment task does not require a login or an API key.
This task analyzes the 300 top comments of the video. In the Actor itself you can raise this to 5,000 comments per video.
The output includes 4–8 recurring themes from the comments, along with percentages and example comments.
It shows the share of positive, neutral and negative comments, both as a plain count and weighted by likes.
Yes, the YouTube comment sentiment task offers optional translation of the entire report into several languages.
It lists the concrete complaints viewers raise, such as audio, video length, ads or product problems, most frequent or most-liked first.
The 'top questions' field includes deduplicated viewer questions ranked by the number of likes.