Xiaohongshu Comments Scraper

Collect the current top-level discussion under specific Xiaohongshu notes. Provide note IDs and receive clean comment rows with text, author identity, likes, time, location and a link back to the parent note.

Unofficial / independent tool. This Actor is not affiliated with, authorized, sponsored, or endorsed by Xiaohongshu. It retrieves publicly available data through a third-party API. You are responsible for using the output in compliance with Xiaohongshu's terms and all applicable laws.

What this Actor does

This Actor focuses on one job: fetch top-level comments for one or more xiaohongshu notes by note id on xiaohongshu.com. This Actor prices each delivered comment directly instead of hiding an extra paid API call inside a general note-search run.

• Fetches the current top-level comment page for each note ID.
• Returns comment text and author identity.
• Includes likes, publication time, IP location and reply count.
• Links every comment back to its parent Xiaohongshu note.

Input

Field	Type	Description
noteIds	array	Note IDs from Xiaohongshu URLs or search output. Returns the current top-level comment page for each note.
maxItems	integer	Maximum records to return (caps your spend).
proxyConfiguration	object	Optional Apify Proxy settings.

Example input

{
  "noteIds": [
    "69d8ab67000000022200b884"
  ],
  "maxItems": 10
}

Output

The Actor returns one dataset item per comment. Each item is a flat, analysis-ready JSON record. Example of a real returned item:

{
  "commentId": "comment-sample-1",
  "noteId": "69d8ab67000000022200b884",
  "content": "这个防晒会搓泥吗？",
  "author": "小夏",
  "authorId": "user-sample-1",
  "likeCount": 18,
  "publishedAt": 1783728600,
  "ipLocation": "广东",
  "subCommentCount": 3,
  "id": "comment-sample-1",
  "url": "https://www.xiaohongshu.com/explore/69d8ab67000000022200b884",
  "source": "xiaohongshu-comments"
}

Output fields

Field	Description
commentId	Comment ID
noteId	Parent note ID
content	Comment text
author	Comment author
authorId	Comment author user ID
likeCount	Comment like count
publishedAt	Comment timestamp
ipLocation	Comment IP location when available
subCommentCount	Reply count
url	Canonical link to the item on the source site
id	Stable identifier for the item (when available)
source	Which list / query the item came from

How it works

• Direct API, no browser. Data is fetched over HTTP — no headless browser, no login, no cookies to manage.
• Honest failure. Transient upstream blocks (rate limits, edge protection) are retried with exponential backoff. If the source stays unavailable, the run fails loudly instead of returning a misleading empty dataset.
• De-duplicated. Items are de-duplicated by their identifier within a run.
• Pay per result. Each delivered row charges one result event ($0.002); maxItems is a hard cap on both volume and spend.

Use cases

• Analyze customer language and sentiment under product notes.
• Collect objections and questions for market research.
• Monitor discussion around campaigns or competitor posts.
• Feed comment evidence into social-listening agents.

Integration

Run it from the Apify Console, on a schedule, or call it programmatically via the Apify API, the JavaScript / Python clients, or MCP. Output can be exported as JSON, CSV, or Excel, or pushed to your own storage.

FAQ

Do I need a Xiaohongshu account, cookies, or to log in? No. The Actor only reads publicly available data.

How am I billed? $0.002 per returned item; maxItems caps the total.

Can I schedule it or call it from my own code? Yes — use Apify Schedules, the REST API, the official clients, or MCP.

Is this an official Xiaohongshu product? No. It is an independent tool and is not affiliated with Xiaohongshu.