📕 RedNote (Xiaohongshu) All-in-One Scraper
Pricing
Pay per event
📕 RedNote (Xiaohongshu) All-in-One Scraper
One Actor for RedNote / Xiaohongshu (小红书): search notes by keyword, scrape a creator's posts, get note detail by URL or share link, pull comments, search the mall and fetch trending topics. Clean JSON, no login, pay per result.
Pricing
Pay per event
Rating
0.0
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Developer
Jackie Chen
Maintained by CommunityActor stats
1
Bookmarked
16
Total users
5
Monthly active users
5 days ago
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RedNote (Xiaohongshu) All-in-One 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.