Xiaohongshu Scraper - Search 小红书 (RedNote) Notes, Creators & Comments

Scrape Xiaohongshu / RedNote (小红书) and export notes, creator profiles and comments to JSON, CSV or Excel. Search notes by keyword, pull a single note's full details, get a creator's profile, list every note a creator has posted, or collect a note's comments - all from one Actor. Each result is one clean, flat row with likes, collects, comments, shares, images, video URLs and creator data.

No login, no cookies, no proxies and no China IP to configure - data is fetched through a fast, managed pipeline. Just pick an operation, add your input and press Start.

Unofficial notice: This is an independent tool and is not affiliated with, endorsed by, or connected to Xiaohongshu, 小红书, RedNote or Xingin. "Xiaohongshu", "小红书" and "RedNote" are trademarks of their respective owners, used here only to describe what the Actor scrapes.

What is Xiaohongshu (RedNote)?

Xiaohongshu (小红书, "Little Red Book", known internationally as RedNote) is one of China's largest lifestyle and social-commerce platforms, with hundreds of millions of users sharing "notes" - image and video posts - about beauty, fashion, travel, food and shopping. This scraper gives you programmatic access to Xiaohongshu's search, notes, creators and comments so you can track trends, discover creators (KOLs) and analyze engagement at scale without a Xiaohongshu account.

Operations

Pick one Operation and fill in the matching field:

Operation	Input field	What you get
Search notes by keyword	keywords	Notes matching each keyword, with full engagement and creator data.
Note details	noteUrls	The full detail of each note (title, body, images, video URL, counts).
Note comments	noteUrls	Top-level comments for each note, with replies and commenter data.
Creator profile	userUrls	A creator's profile: followers, following, total likes/saves, bio, verification.
Creator's posted notes	userUrls	Every note a creator has posted, paginated.

noteUrls and userUrls accept full URLs, share links, or bare note / user IDs - one per line.

How to use it (step by step)

1. Choose an Operation.
2. Fill in the matching input:
   • Search notes -> add one or more Search keywords (Chinese, English, brands and emoji all work).
   • Note details / Note comments -> paste Note URLs / IDs.
   • Creator profile / Creator's posted notes -> paste Creator URLs / IDs.
3. Set Maximum results per input (default 100, or 0 for all available) for the paginated operations.
4. For search, optionally set Sort, Note type and Published in. For comments, optionally set Comment sort order.
5. Press Start. Export the dataset as JSON, CSV, Excel, XML or via the API.

Input

Field	Type	Description
operation	string	Required. search_notes, note_detail, note_comments, user_profile, or user_notes.
keywords	array	Search keywords (for search_notes).
noteUrls	array	Note URLs, share links or IDs (for note_detail, note_comments).
userUrls	array	Creator URLs, share links or IDs (for user_profile, user_notes).
maxItems	integer	Max results per keyword / creator / note. 0 = all available. Default 100.
searchSort	string	general, most_liked, or latest (search only).
noteType	string	all, video, or image (search only).
timeFilter	string	all, one_day, one_week, half_year (search only).
commentSort	string	latest, most_liked, or default (comments only).

Output

Every row carries a record_type of note, user or comment. Common note fields:

Field	Description
note_id, note_url, note_type	Note identity and canonical URL (video or image).
title, desc, hashtags	Note title, body text and topic / hashtag names.
liked_count, collected_count, comments_count, shared_count, view_count	Engagement metrics.
author_user_id, author_red_id, author_nickname, author_verified	Creator data.
image_urls, cover_url, video_url, video_duration	Media URLs.
create_time, ip_location	Publish time (ISO-8601 UTC) and region.

Creator (user) rows add fans_count, follows_count, notes_count, liked_total, collected_total, profile_url and desc (bio). Comment (comment) rows add comment_id, content, like_count, sub_comment_count and a parsed sub_comments list.

Example note row:

{
  "record_type": "note",
  "operation": "search_notes",
  "input": "护肤",
  "note_id": "69d8ab670000000022003dbe",
  "note_type": "video",
  "note_url": "https://www.xiaohongshu.com/explore/69d8ab670000000022003dbe",
  "title": "Skin Routine",
  "liked_count": 7897,
  "collected_count": 1458,
  "comments_count": 193,
  "shared_count": 277,
  "author_nickname": "…",
  "author_red_id": "420393425",
  "ip_location": "Sichuan",
  "video_url": "https://…/….mp4",
  "hashtags": ["vlog", "护肤"]
}

Common use cases

• Trend tracking - watch what is rising on Xiaohongshu for any keyword, sorted by newest or most-liked.
• KOL / creator discovery - find creators for a niche, then pull their profile and full note history.
• Competitor and brand monitoring - track a brand's notes, engagement and comment sentiment.
• Market research - build datasets of Chinese-consumer lifestyle, beauty, travel and shopping content.

Notes on reliability

• Media URLs (images and video) are signed and time-limited by Xiaohongshu's CDN; download them promptly.
• Search and comment counts reflect what Xiaohongshu returns at scrape time and can change.
• If a note or creator is private, deleted or region-locked, that input is skipped and the run continues.

FAQ

Do I need a Xiaohongshu account, cookies or a proxy? No. Just add your input and press Start.

Can I run several keywords or URLs at once? Yes - add multiple lines. For search and creator-notes, cross-input duplicate notes are removed automatically.

What languages work for search? Chinese, English, pinyin, brand names and emoji all work.