Analyze Top Xiaohongshu Comment Threads
Collect the most-liked Xiaohongshu comments and their replies. Export complete discussion threads with authors, engagement, timestamps, and structured data.
Xiaohongshu Comments Scraper - Reply Threads (RedNote)zen-studio/rednote-comments-scraper
Comment ID
Comment
Author
Likes
+30 fieldsTextNumberBooleanListObject
Input
🔗 Note URLs, share links, or IDs(required):https://www.xiaohongshu.com/discovery/item/69db721a00000000220290a8
Sort comments by:most_liked
Include replies under each comment:true
Max comments per note:100
Max replies per comment:10
Output fields
Comment ID
Comment
Author
Likes
Reply count
IP location
Posted (Unix)
Replies (nested)
Attached pictures
@-mentions
Tags (v2)
Tags
Hashtags
Note ID
Note URL
Liked
Media source type
Index in note
Sort
Status
Hidden
Downvoted
Collected
Relatable to note
Score
Share strategy
Comment type
Translation strategy
Show type
Business label
Track ID
Friend-liked message
Sub-comments (raw inline)
Sub-comment cursor
Sign up on Apify01
Create your Apify account to access the Xiaohongshu Comments Scraper - Reply Threads (RedNote).
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.
