Go to example tasks
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.
YouTube Comments Scraper 💬 Bulk, No API Keycleanfeed/youtube-comments-downloader
Success
Video ID
Video title
Author handle
+5 fieldsTextNumberBooleanListObject
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
Sign up on Apify01
Create your Apify account to access the YouTube Comments Scraper 💬 Bulk, No API Key.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
