Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Xiaohongshu CN
小红书分析 - 热门笔记发现、关键词监控、趋势分析（Instagram 中国版）
skill openclawclawhub Free
小红书分析 - 热门笔记发现、关键词监控、趋势分析（Instagram 中国版）
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, package.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- guohongbin-git
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
小红书分析
热门笔记发现、关键词监控、趋势分析。
功能
📕 热门笔记发现 🔍 关键词搜索 📊 趋势分析 👥 博主分析
⚠️ 重要提示
小红书没有公开 API，需要以下方式之一：
1. 网页爬虫
# 使用现有爬虫项目 git clone https://github.com/Big-Buffer/XiaohongshuSpider cd XiaohongshuSpider pip install -r requirements.txt python main.py
2. 小程序抓包
# 参考 # https://github.com/lonngxiang/xiaohongshu-spider
3. 手动查询
直接访问小红书网页版： 热门: https://www.xiaohongshu.com/explore 搜索: https://www.xiaohongshu.com/search_result
热门分类
分类关键词美妆护肤、彩妆、测评穿搭OOTD、日常穿搭美食探店、食谱旅行攻略、打卡家居装修、好物
1. 内容创作
发现热门话题 学习爆款标题 分析竞品笔记
2. 市场研究
了解用户偏好 追踪品牌声量 发现新品趋势
3. 营销推广
找到 KOL 分析投放效果 优化内容策略
数据字段
字段说明note_id笔记 IDtitle标题desc描述author作者likes点赞数comments评论数shares分享数tags标签
与其他平台对比
平台对应美国平台特点小红书Instagram/Pinterest图文+短视频抖音TikTok短视频B站YouTube长视频知乎Quora问答
注意事项
合规爬虫: 遵守 robots.txt 频率限制: 不要过于频繁请求 账号风险: 频繁爬虫可能导致封号 数据用途: 仅用于个人研究
推荐工具
XiaohongshuSpider - Python 爬虫 xiaohongshu-spider - Selenium + Fiddler Nanji - 数据分析平台 版本: 1.0.0 注意: 小红书 API 需要逆向工程
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Config
- SKILL.md
- README.md
- package.json