Xiaohongshu content crawling tool supports the crawling functions of searching notes (requiring login), obtaining note details, user information, popular notes and other public content.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install xiaohongshu-crawlerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install xiaohongshu-crawler⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/xiaohongshu-crawler/💡Extract and place the folder at the path above, then restart your agent.
Category
🔍Data & AnalyticsPlatforms
What Xiaohongshu Crawler can do for your AI workflow
Analyze engagement metrics for Xiaohongshu posts without manually logging into the platform
Draft and schedule Xiaohongshu content optimized for the platform's discovery algorithm
Monitor brand mentions and competitor activity on Xiaohongshu in real time
Extract product review data from Xiaohongshu for market research and sentiment analysis
Try these prompts with your AI agent after installing Xiaohongshu Crawler
Show me the top-performing posts in my Xiaohongshu account this month
Fetches account analytics, ranks posts by engagement rate, and returns a table with views, likes, saves, and comments
Draft a Xiaohongshu post for this skincare product with trending hashtags
Analyzes current trending hashtags in the beauty category, writes an engaging post in the Xiaohongshu style, and suggests 5 relevant tags
Analyze the comments on my latest Xiaohongshu post for sentiment
Reads all comments, classifies them as positive/neutral/negative, and surfaces the most common themes and actionable feedback
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XiaohongshuTools provides a set of utilities for interacting with Xiaohongshu (小红书 / RedNote), China's leading lifestyle and social commerce platform. For brands and creators targeting Chinese consumers, automating Xiaohongshu content workflows — from post scheduling to comment analysis — can save hours of manual work every week.
Xiaohongshu Crawler works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Xiaohongshu Crawler once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Xiaohongshu Crawler takes about two minutes. Place the skill at `~/.claude/skills/xiaohongshu-crawler/` (personal, all projects) or `.claude/skills/xiaohongshu-crawler/` (project-specific), then restart your AI client. From that point, typing `/xiaohongshu-crawler` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Xiaohongshu Crawler has been installed 2,991 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/xiaohongshu-crawler/ for personal use (all projects), or .claude/skills/xiaohongshu-crawler/ for project-specific use. Restart your AI client, then invoke with /xiaohongshu-crawler or let the AI discover it automatically.
Xiaohongshu Crawler supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Xiaohongshu Crawler is free to install. Check the repository for licensing information.
Xiaohongshu content crawling tool supports the crawling functions of searching notes (requiring login), obtaining note details, user information, popular notes and other public content.
Xiaohongshu (小红书) Automation
CuratedAutomate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
Xiaohongshu
Xiaohongshu (RED/XHS) automated assistant. Provides complete Xiaohongshu operation capabilities: log in, publish images/videos, search notes, browse details, like, collect comments, view blogger homepage, and content planning. This skill is used when the user mentions Xiaohongshu, Hongshu, XHS, RED, sending notes, searching notes, Xiaohongshu operations and any other operations related to Xiaohongshu. Even if the user does not explicitly say "Xiaohongshu" but the scene described is obviously Xiaohongshu (such as "...
Xiaohongshu Crawler is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.