Xiaohongshu note comments
Returns the comments on one Xiaohongshu note, one page per call, from a note ID or share link. Useful for reading audience reactions, questions and complaints under a post.
What you get
- Comment ID and text
- Commenter name and user ID
- Like count per comment
- Comment time and IP location, when shown
- Reply count and a preview of replies
- Paging value for the next page
What it can do
- Look up a note by note ID or by share link
- Sort by default order, newest first, or most liked
- Read either unfolded comments or the folded section
- Page through all comments on a note
Limits
- Each call returns one page; for the next page pass the cursor value from the previous result's page object
- Only a preview of replies is included; use the comment replies source for full reply threads
- Only publicly visible data
Input options
| Field | What it does |
|---|---|
| note_id | ID of the note. |
| share_text | Note share link, used instead of note_id. |
| sort_strategy | Order of comments: default, latest_v2 (newest) or like_count. |
| pageArea | UNFOLDED for regular comments (default) or FOLDED for the folded section. |
| cursor | Paging value from the previous result; leave empty for the first page. |
| index | Comment index; use 0 for the first request. |
Example
Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_xiaohongshu_g directly through the REST API or MCP with an input like this:
{
"index": 0,
"pageArea": "UNFOLDED",
"sort_strategy": "latest_v2"
}How to use it
- Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
- Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server
https://prolevelmax.com/mcpor call the REST API. - Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.
FAQ
How is this source billed?
Per call: $0.03/call. Each call returns one page of results. Your AI quotes the price first, and you are never charged more than the quote.
Do I need a Xiaohongshu account or API key?
No. You only need a ProLevelMax account. One balance and one connection cover all 157 platforms.
Is the data real-time?
Yes. Every call fetches public Xiaohongshu data at the time of the request. Only publicly visible content is collected.
More Xiaohongshu sources
All Xiaohongshu sources and prices
New users receive $1 in sign-up credit after verifying their email (one per person). No card required. Pay per use with no subscription. Top up by card (USD) or Alipay (CNY); Enterprise top-ups from $1,000 by bank transfer.
Start for free