LaunchKit · 2026
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xiaohongshutools

XiaoHongShu (Little Red Book) data collection and interaction toolkit.

10
4.2k downloads
by @chocomintx

Setup & Installation

openclaw skills install @chocomintx/xiaohongshutools

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install xiaohongshutools

What This Skill Does

A Python toolkit for scraping and interacting with XiaoHongShu (Little Red Book), a Chinese social media platform. All encryption parameters, including request signatures and cookies, are generated automatically in pure Python. Supports both guest mode and authenticated sessions via a web_session cookie.

All XiaoHongShu encryption and anti-bot signatures are handled in pure Python, so no JavaScript runtime or browser automation is needed.

When to use it

  • Scraping keyword search results for market research
  • Extracting comments from trending beauty or lifestyle posts
  • Monitoring user profile stats for influencer analysis
  • Collecting home feed content by category for trend tracking
  • Automating follows and likes for engagement campaigns

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: search for makeup tutorial notes and list their titles and authors

AGENT
  1. 1Creates a session with create_xhs_session(proxy=None, web_session=None)
  2. 2Calls xhs_session.apis.note.search_notes('美妆教程')
  3. 3Awaits and parses the JSON response
  4. 4Iterates over data['data']['items'] to extract display_title and user nickname
  5. 5Closes the session with xhs_session.close_session()
OUTPUT

A printed list of note titles and author nicknames from the search results

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

XiaoHongShu account and web_session cookie (required for authenticated operations such as following users, liking posts, or accessing search when guest mode returns a -104 error)