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Prepare comments for sentiment analysis

Sentiment tooling needs clean input, not a scraped web page. Each comment arrives as a JSON record with the text separated from its metadata, so you can feed the text straight to a model and keep like counts and reply counts for weighting. Failed videos say why and are never charged.

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YouTube Comments Scraper 💬 Bulk, No API Key
YouTube Comments Scraper 💬 Bulk, No API Keycleanfeed/youtube-comments-downloader
Success
Video ID
Video title
Author handle
+5 fields
Text
Number
Boolean
List
Object

Input

Video URLs or IDs(required):https://www.youtube.com/watch?v=cdiD-9MMpb0
Max comments per video:600

Output fields

Success
Video ID
Video title
Author handle
Comment text
Likes
Replies
Published (relative)
Error code

How it works

Sign up on Apify or log in

The YouTube Comments Scraper 💬 Bulk, No API Key Actor is ready to run with the inputs already set for "Prepare comments for sentiment analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Prepare comments for sentiment analysis" task

The YouTube Comments Scraper 💬 Bulk, No API Key Actor will start running based on the input automatically. You can also change all the input fields, like video urls or ids and max comments per video, to match your specific use case.

Receive the "Prepare comments for sentiment analysis" 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 success, video id, video title, 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 "Prepare comments for sentiment analysis" task via API.

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Integrate "Prepare comments for sentiment analysis" into your workflow

Connect "Prepare comments for sentiment analysis" with 100+ integrations, or run it via API or MCP.

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