Xiaohongshu (RedNote) All-in-One Scraper

One Actor for everything you need from Xiaohongshu / 小红书 / RedNote — notes, creators, comments, mall products, and trending — with clean, flat JSON output. No login, no cookies, no browser automation to babysit.

Fill in only the inputs you care about; each one turns on a capability:

Input	What you get
Note URLs / share links / IDs	Full detail for a specific note from a URL, a share link, or a note ID (title, body, likes, collects, comments, shares, author, images/video, tags, IP location)
Note search keywords	Notes matching a keyword (title, body, likes, collects, comments, author, images/video, URL)
User IDs	Every note posted by a creator
Product search keywords	RedNote mall products (price, original price, vendor, stock, SKU count, images)
Product IDs	Full product detail (title, price, image carousel, full SKU / variant list)
Include trending	The live RedNote hot-search list with rank + heat score
Include note comments	Top-level comments attached to each scraped note

Every output row carries a dataType field (note / product / trending) so a mixed run is trivial to split downstream.

Example input

{
  "noteUrls": ["https://www.xiaohongshu.com/explore/655a1b2c00000000060123ab"],
  "searchKeywords": ["护肤", "city walk"],
  "productKeywords": ["面膜"],
  "includeTrending": true,
  "includeComments": true,
  "maxCommentsPerNote": 5,
  "maxItems": 200,
  "sortType": "popularity_descending"
}

Example output (a note)

{
  "dataType": "note",
  "noteId": "655...e4",
  "url": "https://www.xiaohongshu.com/explore/655...e4",
  "type": "video",
  "title": "敏感肌护肤避坑指南",
  "description": "...",
  "likedCount": 25431,
  "collectedCount": 8120,
  "commentsCount": 642,
  "coverUrl": "https://...",
  "author": { "userId": "5a3...a2", "nickname": "..." },
  "comments": [{ "content": "太有用了", "likeCount": 31 }]
}

Use cases

• Trend & content research — find the best-performing notes and live hot-search topics for any keyword.
• Influencer / KOL discovery — pull a creator's full note history and engagement.
• E-commerce & pricing — track mall products, prices, vendors and SKUs for competitive research.
• Social listening — collect notes + comments to gauge sentiment around a brand or product.
• Feed an LLM / agent — flat JSON that drops straight into RAG, analysis, or automation pipelines.

Output

One item per note / product / trending word, pushed to the dataset. Export to JSON, CSV, Excel, or pull via the Apify API. Pricing is pay-per-result, so you only pay for what you scrape.

Notes

• Note URLs accept any of: an explore / discovery/item web URL, a xhslink.com short share link, or a bare 24-character note ID.
• Chinese keywords return the most complete results.
• User IDs are the 24-character hex id from a profile URL (e.g. 5a34cd1811be103ff72f06a2).
• Pay-per-result pricing charges only for items actually delivered to the dataset — a run that returns nothing is never billed.
• For very large jobs you can route requests through Apify Proxy in the input.