A comprehensive data collection and analysis toolkit for the Xiaohongshu platform designed to track notes, bloggers, and market trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xhs-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install xhs-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Xiaohongshu Data Analytics?
The Xiaohongshu Data Analytics skill provides developers and marketers with a robust framework for extracting and interpreting data from the XHS platform. By leveraging Openclaw Skills, users can automate the process of searching for high-performing notes, analyzing blogger profiles, and tracking engagement trends. This tool is essential for anyone looking to gain a competitive edge in social commerce by turning raw platform data into structured, actionable insights.
Whether you are monitoring specific hashtags or conducting deep-dives into competitor performance, this skill streamlines the interaction with XHS data sources. It supports multiple input methods, including official APIs and third-party services, ensuring flexibility for different technical requirements and access levels.
Xiaohongshu Data Analytics Use Cases
- Perform keyword research to find trending topics in niches like skincare, beauty, or fashion.
- Monitor competitor performance by comparing the engagement metrics of multiple top-tier bloggers.
- Track the 7-day popularity trend of specific notes or topics to identify viral content patterns.
- Generate automated marketing reports in Markdown format for client presentations or internal audits.
How Xiaohongshu Data Analytics Works
- Configure the environment by providing necessary API keys or session cookies in the configuration file.
- Use the search tool to find notes based on specific keywords, sorting by hotness or time.
- Extract detailed metrics for individual authors or notes, including followers, likes, and shares.
- Run comparison scripts to benchmark different data points against each other.
- Compile all gathered data into a structured report using the built-in generation utility.
Xiaohongshu Data Analytics Setup
To get started with this skill within the Openclaw Skills ecosystem, you must first configure your credentials:
# Edit scripts/config.sh and add your credentials
export XHS_API_KEY="your-api-key"
export XHS_COOKIE="your-cookie"
You can then run specific scripts via the CLI:
# Example: Search for skincare notes
python3 scripts/search_notes.py --keyword "skincare" --limit 50 --sort "hot"
Xiaohongshu Data Analytics Data Schema & Taxonomy
The skill processes and outputs data in structured formats to ensure compatibility with other tools in the Openclaw Skills suite.
| Component | Output Format | Primary Metadata |
|---|---|---|
| Note Metadata | JSON | note_id, user_id, title, engagement_stats |
| Blogger Info | JSON | follower_count, total_notes, total_collected_likes |
| Trend Data | JSON | time_stamps, engagement_velocity, share_count |
| Final Analysis | Markdown | Summary tables, trend descriptions, comparison results |
Xiaohongshu Data Analytics Advanced Features
- Support for multiple data sources including official enterprise APIs and third-party data providers.
- Batch processing capabilities for comparing multiple users or notes simultaneously.
- Customizable report generation with support for various output formats like JSON and Markdown.
- Automated rate-limit management and interval controls to ensure compliance with platform rules.
SKILL.md
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