xiaohongshu-search
小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作
Best use case
xiaohongshu-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作
Teams using xiaohongshu-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/xiaohongshu-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xiaohongshu-search Compares
| Feature / Agent | xiaohongshu-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 📊 小红书商业洞察与竞品分析助手 > **一句话价值主张**：告别盲目创作，用数据驱动小红书流量增长。从海量公开数据中提炼可落地的爆款逻辑、竞品策略、KOL价值，覆盖内容创作、品牌营销、市场分析全场景，让小红书运营决策有迹可循。 ## 1. 技能概述 这是一款专注于**小红书商业数据挖掘**的工具。它能够穿透小红书的公开数据层，为你提供深度的**竞品监控**、**趋势预测**和**KOL 筛选**服务。无论你是内容创作者、品牌营销人员还是市场分析师，都能通过此工具获取决策支持。 ### 1.1 核心能力矩阵 | 能力模块 | 核心功能 | 解决痛点 | | :-------------- | :--------------------------- | :----------------------------------- | | **🔍 爆款挖掘** | 热门笔记发现、高互动内容检索 | 找不到选题灵感，不知道什么内容火 | | **🕵️ 竞品分析** | 对标账号监控、笔记表现追踪 | 竞品为什么涨粉快？他们的策略是什么？ | | **👥 KOL 筛选** | 博主粉丝画像、互动率分析 | 找不到合适的投放博主，担心数据造假 | | **📈 趋势监控** | 关键词热度追踪、话题趋势分析 | 错过热点，无法预判市场风向 | ### 1.2 适用人群 ✅ 小红书内容创作者/运营 | ✅ 品牌营销/市场人员 | ✅ 数据分析师 | ✅ MCN机构/博主经纪人 ## 2. 快速使用指南 ### 2.1 前置条件 - 安装Node.js 16+环境 - 配置环境变量 `GUAIKEI_API_TOKEN`（默认TOKEN仅用于体验，私有TOKEN需申请） ### 2.2 基础语法 ```bash # 语法：node scripts/search.js [关键词] [选项] ``` ### 2.3 选项说明 - `--type <0>`：搜索类型，0-全部，1-视频，2-图文（默认0） - `--sort <0>`：排序依据，0-综合，1-最新，2-最多点赞，3-最多评论，4-最多收藏（默认0） - `--limit <10>`：返回数量，1-60（默认10） - `--output <json>`：输出格式，json/markdown（默认json） ### 2.4 典型示例 ```bash # 示例1：基础搜索(JSON格式) node scripts/search.js AI # 示例2：带空格的关键词 node scripts/search.js "AI 教程" # 示例3：自定义搜索类型(视频) node scripts/search.js AI --type 1 # 示例4：自定义排序(最多点赞) node scripts/search.js "AI 模型" --sort 2 # 示例5：自定义返回结果数量(20条) node scripts/search.js AI --limit 20 # 示例6：自定义输出格式(Markdown) node scripts/search.js "AI 教程" --output markdown # 示例7：复杂搜索(图文+最多点赞+20条结果+JSON格式) node scripts/search.js --keyword "AI 教程" --type 2 --sort 2 --limit 20 --output json ``` ## 3. 数据合规说明 ✅ 仅抓取小红书**公开可见**内容，无隐私数据泄露风险 ✅ 数据仅用于商业分析参考，需遵守小红书平台使用条款 ✅ 所有输出数据均做脱敏处理，不涉及用户个人信息 ## 4. 技术说明（OpenClaw 适配） - 运行环境：Node.js 16+，需提前配置 `GUAIKEI_API_TOKEN` 环境变量 - 数据输出格式：支持JSON/Markdown（按需返回） - 触发方式：支持自然语言指令直接触发，无需固定语法，容错率高
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