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Product Review Sentiment Extractor

Pull top comments from any product review video for voice-of-customer analysis. Structured text and engagement data ready for a sentiment model.

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YouTube Comments Scraper API - Extract Video Comments Fast
YouTube Comments Scraper API - Extract Video Comments Fastapidojo/youtube-comments-scraper
ID
Text
Like Count
Reply Count
+3 fields
Text
Number
Boolean
List
Object

Input

Sort By:top
Start URLs:https://www.youtube.com/watch?v=dQw4w9WgXcQ
Maximum number of items on output:500

Output fields

ID
Text
Like Count
Reply Count
Published Time
Author ID
Author Name

How it works

Sign up on Apify or log in

The YouTube Comments Scraper API - Extract Video Comments Fast Actor is ready to run with the inputs already set for "Product Review Sentiment Extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Product Review Sentiment Extractor" task

The YouTube Comments Scraper API - Extract Video Comments Fast Actor will start running based on the input automatically. You can also change all the input fields, like sort by, start urls, and more, to match your specific use case.

Receive the "Product Review Sentiment Extractor" 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 ID, text, like count, 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 "Product Review Sentiment Extractor" task via API.

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Integrate "Product Review Sentiment Extractor" into your workflow

Connect "Product Review Sentiment Extractor" with 100+ integrations, or run it via API or MCP.

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