YouTube comments for sentiment analysis
nokia2k
YouTube Scraper
Collect the top comments of a YouTube video with likes and reply counts next to its transcript, ready for sentiment analysis, audience research or AI summaries of what viewers think.
Input
Output fields
Sign up on Apify or log in
The YouTube Scraper Actor is ready to run with the inputs already set for "YouTube comments 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 for sentiment analysis" task
The YouTube Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 📺 videos, channels or playlists and 💬 top comments per video, to match your specific use case.
Receive the "YouTube comments 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 video id, title, and top comments.
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 for sentiment analysis" task via API.
