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Apify Tutorial - YouTube Video Comment Sentiment Signals

Run Apify Tutorial - YouTube Video Comment Sentiment Signals with YouTube Video Comment Sentiment Signals. Adjust the selected inputs and export structured.

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YouTube Video Comment Sentiment Signals
YouTube Video Comment Sentiment Signalsneuton/youtube-video-comment-sentiment-signals
Video id
Video url
Comment id
Comment url
+9 fields
Text
Number
Boolean
List
Object

Input

YouTube videos(required):5kcaHAuGxmY
Maximum total results:20
Maximum comments per video:20

Output fields

Video id
Video url
Comment id
Comment url
Author name
Comment text
Sentiment
Sentiment score
Positive terms
Negative terms
Sentiment method
Evidence direct
Scraped at

How it works

Sign up on Apify or log in

The YouTube Video Comment Sentiment Signals Actor is ready to run with the inputs already set for "Apify Tutorial - YouTube Video Comment Sentiment Signals". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Apify Tutorial - YouTube Video Comment Sentiment Signals" task

The YouTube Video Comment Sentiment Signals Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos, maximum total results, and more, to match your specific use case.

Receive the "Apify Tutorial - YouTube Video Comment Sentiment Signals" 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, video url, comment id, 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 "Apify Tutorial - YouTube Video Comment Sentiment Signals" task via API.

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