Xiaohongshu Scraper [$2.50/1K💰] | RedNote Notes | Comments
Pricing
from $2.40 / 1,000 results
Xiaohongshu Scraper [$2.50/1K💰] | RedNote Notes | Comments
Scrape Xiaohongshu (RedNote) notes, creators and comments: likes, collects, shares, tags and IP location. Search keywords or category feeds, export to JSON or CSV.
Pricing
from $2.40 / 1,000 results
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Ahmed Jasarevic
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2
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8 days ago
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Xiaohongshu (RedNote) Scraper – Notes, Creators & Comments
Extract Xiaohongshu / RedNote data: note text, images, video URLs, tags, engagement counts (likes, collects, comments, shares), author profiles and comments. Search keywords, open note or profile URLs, or sweep the 11 category feeds. $2.50 per 1,000 notes.
What Can You Do With Xiaohongshu Data?
- Creator discovery – find accounts gaining traction in fashion, food, travel, beauty, fitness or gaming
- Content research – analyse titles, tags and formats that perform in a category
- Campaign benchmarking – compare engagement rates across notes and creators before booking a collaboration
- Trend spotting – sweep the category feeds daily and see which topics keep appearing
- Hashtag and keyword tracking – follow a topic across search results and note pages
- Comment analysis – pull top-level comments for sentiment, product mentions or objections
How It Works

The Actor collects publicly available Xiaohongshu / RedNote note, creator and comment data and normalizes it into one schema. Provide note or profile URLs, keywords or category feeds; it reads the published pages and writes one record per note or creator.
- Keyword search returns notes in pages up to
maxSearchPages. includeNoteDetailsadds description, images, video URL and tags.includeCommentsattaches top-level comments.- Category feeds broaden discovery beyond direct URLs.
Scrape Xiaohongshu Notes And Creator Data
This Actor focuses on the public note and creator data that Xiaohongshu publishes, so runs stay fast and lightweight. It returns a stable schema from publicly visible data.
The trade-off is scope: search and comment coverage can vary by note and target. Direct note and profile URLs are the most reliable targets; large runs can use an Apify proxy.
Search Notes, Sweep Category Feeds Or Open Profiles
searchQueries accepts Chinese keywords and returns 20 notes per page up to maxSearchPages (default 10, so about 200 notes per keyword at most). sort picks general, latest or popular ordering, and noteType filters video versus image notes.
feedCategories controls the Explore sweep — all 11 feeds are selected by default (recommend, fashion, food, travel, cosmetics, movie & TV, career, love, household, gaming, fitness). Category feeds are processed in parallel; feedConcurrency trades speed for reliability.
startUrls is the surgical option: paste note URLs, creator profile URLs, explore/search URLs or bare note ids, and only those targets are scraped.
Engagement Metrics And Creator Fields
Notes carry an interact object with numeric likes, collects, comments and shares, plus publishedAt, lastUpdatedAt and ipLocation. The author object holds userId, nickname, avatar and profile URL.
Creator targets produce a separate record shape in the creators dataset view: userId, nickname, redId, fansCount, postedCount, likesAndCollects, ipLocation and url — enough to rank accounts without opening each profile by hand.
Input – Configure A Xiaohongshu Run
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | No | [] | Note URLs, profile URLs, explore/search URLs or 24-char note ids |
searchQueries | array | No | [] | Chinese keywords; search availability can vary |
maxNotes | integer | No | 100 | Max note records; 0 = unlimited |
includeNoteDetails | boolean | No | true | Full description, images, video, tags — separate paid event |
includeComments | boolean | No | true | Attach top-level comments — separate paid event |
maxCommentsPerNote | integer | No | 10 | Top-level comments per note |
sort | string | No | general | general, latest, popular |
noteType | string | No | all | all, video, image |
maxSearchPages | integer | No | 10 | Search pages per keyword, 20 notes each |
feedCategories | array | No | 11 feeds | Category feeds used for Explore/homefeed targets |
feedConcurrency | integer | No | 3 | Parallel feed operations. Lower values keep runs reliable |
proxyConfiguration | object | No | none | Standard Apify proxy configuration. Recommended for large runs |
requestDelayMillis | integer | No | 500 | Delay between operations |
Output – Note And Creator Fields
Notes (default dataset view overview):
| Field | Type | Description |
|---|---|---|
type | string | note or user |
noteId | string | 24-character note id |
title, description | string | Note text |
authorNickname | string | Author nickname |
author | object | userId, nickname, avatar, profile URL |
noteType | string | Normal, video, image |
images | array | Image URL, width, height |
video | object | Best MP4 stream, duration, dimensions, cover |
tags, mentions | array | Topics and mentioned users |
likeCount, collectCount, commentCount, shareCount | number | Engagement counts |
publishedAt, lastUpdatedAt | string | ISO timestamps |
ipLocation | string | Author IP location shown by Xiaohongshu |
comments | array | Top-level comments with author and likes |
url | string | Public note URL |
Creators (dataset view creators): type, userId, nickname, redId, fansCount, postedCount, likesAndCollects, ipLocation, url.
Example Input – One Keyword Plus A Creator Profile
{"searchQueries": ["咖啡"],"startUrls": ["https://www.xiaohongshu.com/user/profile/5d37ebe30000000016006032"],"maxNotes": 60,"maxSearchPages": 3,"includeNoteDetails": true,"includeComments": true,"maxCommentsPerNote": 10,"sort": "popular"}
Example Output – One Note Record
{"type": "note","noteId": "6ab343fa000000001301b8c0","title": "A day in Shanghai","authorNickname": "Example creator","noteType": "normal","likeCount": 6896,"collectCount": 747,"commentCount": 948,"shareCount": 1954,"publishedAt": "2026-10-21T08:12:00.000Z","ipLocation": "Shanghai","url": "https://www.xiaohongshu.com/explore/6ab343fa000000001301b8c0"}
Export RedNote Data To JSON, CSV Or Excel And Schedule Runs
Results land in the default dataset and download as JSON, CSV, Excel or HTML. A 100-note run completes in a minute or two.
Creator metrics and trends move daily, so a daily schedule with includeNoteDetails: false is a cheap monitoring loop; add details and comments only when you need the text. At $0.0025 per note, $0.0015 per detail and $0.002 per comment batch, a default run with all three events costs about $0.006 per note.
Related Actors
- Google Search Scraper – cross-check a creator or brand outside Xiaohongshu
- Website Content Crawler – pull linked brand and shop pages into clean text
- Google Maps Scraper – verify the physical businesses behind beauty, food or travel notes
- Blocket.se Scraper – second-hand marketplace data for resale and product research
FAQ
Why use this Actor instead of a general-purpose web scraper?
This Actor collects the public note and creator data directly, which keeps runs fast and lightweight.
Do I need a Xiaohongshu account?
No for notes, profiles and feeds. Search availability can vary; if search returns nothing, note and profile URLs still work. Comment coverage also varies by note and target.
Why are comments sometimes missing?
Because comment coverage varies by note and access level. An Apify proxy can improve coverage for large runs; without one, expect partial comment sets. Comments are also billed as a separate event, so leave includeComments off when you only need notes.
What does a run cost?
Three events can apply per note: the dataset row at $0.0025, note-detail at $0.0015 and comments at $0.002. With defaults all three are on, so a 1,000-note run is roughly $6. Turn details or comments off to reduce it.
How many notes can I get per keyword?
20 notes per search page, and maxSearchPages defaults to 10 — about 200 notes per keyword. Category feeds typically yield 100–160 unique notes per run.
Is this official Xiaohongshu data?
No. It is public data collected from Xiaohongshu. Xiaohongshu does not offer a public research API, and this Actor is not affiliated with the platform.
What are alternatives for RedNote data?
Commercial China-social vendors sell curated datasets, and general web scrapers exist on the Apify Store. This Actor is the lightweight option: faster, cheaper per run, with the same public fields.
For AI Agents & LLM Apps
Returns one row per Xiaohongshu note (or creator) with engagement counts, author identity, media URLs and optional comments.
Minimal working input:
{ "startUrls": ["6ab343fa000000001301b8c0"], "maxNotes": 1 }
Variant — keyword sweep without detail or comment charges:
{ "searchQueries": ["咖啡"], "maxNotes": 40, "maxSearchPages": 2, "includeNoteDetails": false, "includeComments": false }
Output fields: type, noteId, title, authorNickname, noteType, likeCount, collectCount, commentCount, shareCount, publishedAt, url, source — plus description, author, images, video, tags, mentions, ipLocation, comments and the creators view (userId, nickname, redId, fansCount, postedCount, likesAndCollects, ipLocation, url).
Behaviors an agent should know:
includeNoteDetailsandincludeCommentsboth default to true and each triggers a separate billed event.- Search availability can vary; if a search returns nothing, use note or profile URLs instead.
maxNotescounts notes only; creator records are pushed separately and0means unlimited.includeCommentscosts $0.002 per note regardless of how many comments are visible; coverage varies by note and target.feedCategoriesonly applies to Explore/homefeed targets, not tosearchQueriesor explicit note URLs.feedConcurrencyabove 3 can reduce reliability; lower it if runs start failing.requestDelayMillis(500 ms) is a throttle, not a guarantee — do not remove it on large runs.
Billing: $0.0025 per note, $0.0015 per note detail, $0.002 per comment batch, plus a small actor-start event.
Legal & Compliance Disclaimer
This actor is an independent tool. It is not affiliated with, endorsed by, or sponsored by Xiaohongshu (RedNote) or its parent company.
It collects publicly visible notes, profiles and comments. No account credentials are harvested and no private accounts are accessed.
The output contains personal data: user ids, nicknames, avatars, IP-location labels and comment text. That data is subject to the platform's Terms of Service, China's Personal Information Protection Law (PIPL), and — where the data reaches EU or UK users — the GDPR. Do not use it for profiling, unsolicited outreach, or any purpose the platform's terms prohibit, and delete it when your research purpose is served. This section is a factual disclosure, not legal advice.
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