YouTube Comments Scraper for Sentiment Analysis
Coder
Collect the top 100 comments and their replies from a YouTube video, with comment text, author, likes, reply count, and date, plus video and channel details. The clean output is ready for sentiment analysis, topic modelling, or audience research. Paste any YouTube video or Shorts URL to scrape its comments.
Input
Output fields
Sign up on Apify or log in
The YouTube Comments Scraper Actor is ready to run with the inputs already set for "YouTube Comments Scraper for Sentiment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube Comments Scraper for Sentiment Analysis" task
The YouTube Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like $ add video details, $ add channel details, and more, to match your specific use case.
Receive the "YouTube Comments Scraper for Sentiment Analysis" 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 author, comment, likes, 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 "YouTube Comments Scraper for Sentiment Analysis" task via API.
Integrate "YouTube Comments Scraper for Sentiment Analysis" into your workflow
Connect "YouTube Comments Scraper for Sentiment Analysis" with 100+ integrations, or run it via API or MCP.
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