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YouTube comments posted in the last week
Recent comments only, sorted newest first and cut to the last seven days. YouTube never returns a real date for a comment, only text such as 5 days ago, so this uses the approximate number of days derived from that text and says so in the column name. Comments whose text cannot be read are kept rather than thrown away, so nothing disappears silently.
YouTube Comments Scraper - Comments, Replies, Likes & Authorsneverempty/youtube-comments-scraper
Text
Author Name
Like Count Text
Like Count
+33 fieldsTextNumberBooleanListObject
Input
YouTube video URLs(required):https://www.youtube.com/watch?v=psuRGfAaju4
Comments per video:60
Maximum records:40
Sort by:newest
Include replies:false
Replies per comment:10
Only comments containing these words
Match words:any
Skip comments containing these words
Minimum likes:0
Only verified authors:false
Posted within days:7
Only new comments since the last run:false
Forget what was already returned:false
Maximum requests:60
Use a proxy if YouTube blocks the run:false
Output fields
Text
Author Name
Like Count Text
Like Count
Like Count Is Exact
Reply Count
Published Time Text
Is Pinned
Has Creator Heart
Is Reply
Video Title
Comment Url
Source
Status
Video Id
Video Url
Note
Scraped At
Video Comment Count Text
Video Comment Count
Sorted By
Page
Rank
Comment Id
Parent Comment Id
Reply Level
Text Length
Author Channel Id
Author Channel Url
Author Is Verified
Author Is Artist
Author Is Channel Owner
Author Avatar Url
Reply Count Text
Published Approx Days Ago
Is Edited
Pinned Text
Sign up on Apify01
Create your Apify account to access the YouTube Comments Scraper - Comments, Replies, Likes & 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.
