Go to example tasks
Customer feedback from product review videos
Ready-to-run example: a product search becomes a feedback corpus - every review video on the topic and every comment beneath it, scored.
YouTube Customer Feedback Scraper - Voice of the Customervonsensey/youtube-customer-feedback-scraper-voice-of-customer
Row
Comment
Author
Likes
+25 fieldsTextNumberBooleanListObject
Input
YouTube videos, channels, playlists or search phrases:sony wh-1000xm5 review
Maximum videos per channel, playlist or search:8
Add sentiment, keywords and question detection:true
Add a run summary row:true
Output fields
Row
Comment
Author
Likes
Likes approx.
Replies
Is reply
Thread
Parent comment
Published
Published (approx. ISO)
By creator
Verified
Hearted by creator
Author channel
Sentiment
Sentiment score
Toxicity signal
Is question
Keywords
Writing system
Timestamps cited
Video
Video URL
Channel
Comment id
Video id
Sorted by
Scraped at
Sign up on Apify01
Create your Apify account to access the YouTube Customer Feedback Scraper - Voice of the Customer.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
