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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.

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YouTube Customer Feedback Scraper - Voice of the Customer
YouTube Customer Feedback Scraper - Voice of the Customervonsensey/youtube-customer-feedback-scraper-voice-of-customer
Row
Comment
Author
Likes
+25 fields
Text
Number
Boolean
List
Object

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

How it works

Sign up on Apify or log in

The YouTube Customer Feedback Scraper - Voice of the Customer Actor is ready to run with the inputs already set for "Customer feedback from product review videos". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Customer feedback from product review videos" task

The YouTube Customer Feedback Scraper - Voice of the Customer Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos, channels, playlists or search phrases, maximum videos per channel, playlist or search, and more, to match your specific use case.

Receive the "Customer feedback from product review videos" 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 row, comment, 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 "Customer feedback from product review videos" task via API.

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