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Recurring Pain-Point Finder in Comments

Pull newest comments from a video to catch fresh, real-time feedback and complaints. Built for spotting recurring issues before they become a pattern.

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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

Start URLs:https://www.youtube.com/watch?v=dQw4w9WgXcQ
Sort By:latest
Maximum number of items on output:300

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 "Recurring Pain-Point Finder in Comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Recurring Pain-Point Finder in Comments" 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 start urls, sort by, and more, to match your specific use case.

Receive the "Recurring Pain-Point Finder in Comments" 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 "Recurring Pain-Point Finder in Comments" task via API.

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Integrate "Recurring Pain-Point Finder in Comments" into your workflow

Connect "Recurring Pain-Point Finder in Comments" with 100+ integrations, or run it via API or MCP.

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