Collect YouTube Comments for Competitor Research
DataScraperES
Collect comments and replies from selected competitor videos in one Dataset. Review each row's video, text, author, publication time, likes, and parent-reply relationship for cross-video content research.
Input
Output fields
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The YouTube Comments Scraper | Replies for Videos Actor is ready to run with the inputs already set for "Collect YouTube Comments for Competitor Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Collect YouTube Comments for Competitor Research" task
The YouTube Comments Scraper | Replies for Videos Actor will start running based on the input automatically. You can also change all the input fields, like video urls, max comments per video, and more, to match your specific use case.
Receive the "Collect YouTube Comments for Competitor Research" 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 title, text, 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 "Collect YouTube Comments for Competitor Research" task via API.
Integrate "Collect YouTube Comments for Competitor Research" into your workflow
Connect "Collect YouTube Comments for Competitor Research" with 100+ integrations, or run it via API or MCP.
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