Analyze Fan Sentiment in Music Video YouTube Comments
For record labels, artists and music marketers: scrape comments under music videos to gauge fan reactions, spot praise or backlash and catch viral moments. Returns comment text, author, likeCount, publishedTime, isPinned/isHearted flags and video title/channel, ready for sentiment analysis in a spreadsheet or LLM.
Input
Output fields
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The YouTube Comments Scraper - Replies, Likes & Sort by Newest Actor is ready to run with the inputs already set for "Analyze Fan Sentiment in Music Video YouTube Comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Analyze Fan Sentiment in Music Video YouTube Comments" task
The YouTube Comments Scraper - Replies, Likes & Sort by Newest Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls or ids, max comments per video, and more, to match your specific use case.
Receive the "Analyze Fan Sentiment in Music Video YouTube Comments" output
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 video, comment, author, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Analyze Fan Sentiment in Music Video YouTube Comments" task via API.
Integrate "Analyze Fan Sentiment in Music Video YouTube Comments" into your workflow
Connect "Analyze Fan Sentiment in Music Video YouTube Comments" with 100+ integrations, or run it via API or MCP.
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