Analyze Competitor YouTube Comment Analysis
Khadin Akbar
Analyze Competitor YouTube Comment Analysis. Input startUrls. Output video_title, author_name, comment_text, like_count. Export JSON/CSV from a bounded
Input
Output fields
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The YouTube Comments Scraper (with Replies) Actor is ready to run with the inputs already set for "Analyze Competitor YouTube Comment Analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Analyze Competitor YouTube Comment Analysis" task
The YouTube Comments Scraper (with Replies) Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls and max comments per video, to match your specific use case.
Receive the "Analyze Competitor YouTube Comment 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 video title, author name, comment text, 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 Competitor YouTube Comment Analysis" task via API.
Integrate "Analyze Competitor YouTube Comment Analysis" into your workflow
Connect "Analyze Competitor YouTube Comment Analysis" with 100+ integrations, or run it via API or MCP.
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