Go to example tasks
Product Review Comments from Xiaohongshu Notes
Export what Chinese shoppers say under RedNote product notes: comment text, replies, IP city, likes and attached photos. CSV, JSON or Excel.
Xiaohongshu Comments Scraper - RedNote Nested Reply Threadssian.agency/xiaohongshu-rednote-comments-scraper
🆔 Comment ID
💬 Comment text
❤️ Likes
📍 IP city
+27 fieldsTextNumberBooleanListObject
Input
🔗 Note URLs, share links or IDs:https://www.xiaohongshu.com/explore/6a79fb020000000027023c9c+2
🔀 Comment order:latest
💬 Include reply threads:true
↩️ Replies per comment:20
🔢 Top-level comments per note:150
🛑 Maximum rows for the run:600
Output fields
🆔 Comment ID
💬 Comment text
❤️ Likes
📍 IP city
🕒 Posted at
⏱️ Posted (unix)
↩️ Is a reply
🧵 Thread root
➡️ Answers comment
➡️ Answers author
➡️ Answers author ID
🔢 Replies under this
👤 Author
👤 Author ID
🔴 Red ID
🖼️ Avatar
🔗 Author profile
✍️ By the note author
💗 Liked by note author
📌 Pinned
🖼️ Comment pictures
🖼️ Picture count
🏷️ @-mentions
#️⃣ Hashtags
📕 Note ID
🔗 Note URL
👤 Note author ID
📊 Comments on note
📊 Top-level on note
📅 Fetched at
✅ Processing status
Sign up on Apify01
Create your Apify account to access the Xiaohongshu Comments Scraper - RedNote Nested Reply Threads.
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.
