Pricing

$4.00 / 1,000 results

📕 RedNote (Xiaohongshu) Discovery Scraper

Search RedNote / Xiaohongshu notes, scrape creator posts, and fetch trending topics. Cost-aligned multi-result jobs, clean JSON, no login, pay per result.

Pricing

$4.00 / 1,000 results

Rating

0.0

(0)

Developer

Jackie Chen

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Xiaohongshu (RedNote) Discovery Scraper

Run contribution-positive Xiaohongshu / 小红书 / RedNote discovery jobs — note search, creator posts, and trending — with clean, flat JSON output. No login, cookies, or browser automation.

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

Input	What you get
Note search keywords	Notes matching a keyword (title, body, likes, collects, comments, author, images/video, URL)
User IDs	Every note posted by a creator
Include trending	The live RedNote hot-search list with rank + heat score

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

One-call-per-item jobs are separated so their prices match their upstream cost. Use Xiaohongshu Note Detail Scraper for full note records and Xiaohongshu Comments Scraper for comment pages. Legacy detail/comment/mall inputs fail before making a paid upstream call.

Example input

{
  "searchKeywords": ["护肤", "city walk"],
  "includeTrending": true,
  "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": "..." }
}

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.
Social listening — collect notes for later enrichment in the dedicated comments Actor.
Feed an LLM / agent — flat JSON that drops straight into RAG, analysis, or automation pipelines.

Output

One item per note or 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

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.

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