Go to example tasks
YouTube Video Comments for Manual Moderation Review Sets
Collect public comment text, links and author references from videos you choose. Prepare a source-linked review set for your own moderation team to inspect and label; the task does not detect abuse, identify spam, make policy decisions or remove comments from YouTube.
YouTube Video Comments Scraper โ Text & Authorsscrapingmonkey/youtube-video-comments-scraper
Input
Status
ID
URL
+39 fieldsTextNumberBooleanListObject
Input
๐ Pages per input:1
๐ Video links(required):https://www.youtube.com/watch?v=jNQXAC9IVRw
Output fields
Input
Status
ID
URL
Parent Comment ID
Text
Published Text
Likes
Likes Text
Replies Count
Reply Level
Is Pinned
Pinned Text
Is Hearted
Hearted By
Creator Thumbnail
Is Liked
Author / ID
Author / Name
Author / Handle
Author / URL
Author / Avatar URL
Author / Avatar Thumbnails / URL
Author / Avatar Thumbnails / Width
Author / Avatar Thumbnails / Height
Author / Is Verified
Author / Is Creator
Author / Is Artist
Author / Is Current User
Links / Text
Links / URL
Mentions / Channel ID
Mentions / Name
Mentions / URL
Comments Total
Video ID
Source Video / ID
Source Video / URL
Source Video / Title
Source Video / Channel ID
Source Video / Author
Source Video / Views
Position
Sign up on Apify01
Create your Apify account to access the YouTube Video Comments Scraper โ Text & Authors.
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.
