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Install in OpenClaw
/install xhs-content-analytics
Description
内容获取分析, 当你需要分析小红书笔记、评论、点赞、收藏等数据时, 可以使用这个技能来获取小红书搜索数据,笔记详情,笔记评论数据
README (SKILL.md)
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📊 xhs内容分析 - 获取小红书内容表现数据\r
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💡一句话价值：一键搜索小红书笔记、互动数据，帮你做爆款选题、竞品分析。\r \r 🔥核心优势\r \r
- 轻量: 无需部署服务，OpenClaw一键运行\r
- 灵活: 支持多维度筛选、批量操作、多格式导出\r
- 实用: 日志自动归档，适配营销报告 / 内容策划场景\r
- 安全: 无需登录你的小红书账号，不担心风控风险 / 封号问题\r \r
1. ✅ 我能帮你解决什么（10 秒判断）\r
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- 🔍 按关键词搜小红书笔记（最新/最多点赞/最多评论/最多收藏排序）：找爆款选题、分析高赞笔记规律\r
- 🦸 竞品监控：批量抓取对标账号所有公开作品数据，分析内容策略\r
- 📡 热点追流：实时获取小红书热搜，抢占流量风口\r
- 📊 数据导出：自动生成JSON日志，方便二次使用\r \r
2. 🚀 最快上手（复制就能跑，30 秒出结果）\r
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2.1 🔎 小红书关键词搜索\r
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node src/xiaohongshu/search-cli.js -k 数据分析\r
```\r
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### 2.2 🔎 按点赞排序找爆款\r
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```bash\r
node src/xiaohongshu/search-cli.js --keyword "AI" --sort 2\r
```\r
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### 2.3 🔎 按最新排序找风口\r
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```bash\r
node src/xiaohongshu/search-cli.js --keyword "AI" --sort 1\r
```\r
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### 2.4 📕 小红书笔记详情查询\r
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```bash\r
node src/xiaohongshu/detail-cli.js -u "https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy"\r
```\r
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## 3. 📌 适用场景（我该不该用？）\r
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- 你需要做小红书笔记选题 → 关键词搜索 + 点赞排序\r
- 你需要模仿爆款文案 → 查看高赞笔记详情\r
- 你需要做营销报告 → 导出结构化数据\r
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## 4. 🔧 参数详解表\r
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### 🔎 小红书关键词搜索\r
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| 参数 | 缩写 | 作用 | 可选值 | 必填 |\r
| :---------- | :--: | :--------- | :--------------------------------------------------------------- | :--: |\r
| `--keyword` | `-k` | 搜索关键词 | 2-50 个汉字 | 是 |\r
| `--type` | `-t` | 内容类型 | 0 = 全部 / 1 = 视频 / 2 = 图文 | 否 |\r
| `--sort` | `-s` | 排序方式 | 0 = 综合 / 1 = 最新 / 2 = 最多点赞 / 3 = 最多评论 / 4 = 最多收藏 | 否 |\r
| `--limit` | `-l` | 搜索数量 | 1-60 条 | 否 |\r
| `--output` | `-o` | 输出格式 | json / markdown | 否 |\r
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### 📕 小红书笔记详情获取\r
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| 参数 | 缩写 | 类型 | 说明 |\r
| :-------- | :--- | :------ | :----------------------- |\r
| `--url` | `-u` | 字符串 | 必填，笔记链接 |\r
| `--limit` | `-l` | 1-60000 | 获取笔记评论数量 (默认6) |\r
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> **💡"笔记链接"说明**\r
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> - PC链接: https://www.xiaohongshu.com/explore/xxx?xsec_token=yyy\r
> - 短链接: https://xhslink.com/m/xxx\r
Usage Guidance
Do not treat this as a complete approval: the scanner could not read the supplied workspace artifacts, so the skill should be re-scanned when metadata.json and artifact/ are accessible.
Capability Assessment
Purpose & Capability
Artifact coherence could not be assessed because attempts to inspect metadata.json and artifact/ failed before any file contents were available.
Instruction Scope
No SKILL.md or runtime instructions were readable, so no instruction-scope issue is supported by artifact evidence.
Install Mechanism
No install metadata or package files were readable, so install behavior could not be evaluated from artifacts.
Credentials
No artifact evidence was available to assess requested environment access or proportionality.
Persistence & Privilege
No artifact evidence was available showing persistence, privilege use, or credential handling.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xhs-content-analytics - After installation, invoke the skill by name or use
/xhs-content-analytics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
xhs-content-analytics 1.0.0
- Initial release offering analysis and retrieval of Xiaohongshu (小红书) content data.
- Supports keyword search, note details, comment extraction (up to 60,000), and multi-format export (JSON/Markdown) without login risk.
- Enables sorting by latest, most liked, most commented, and most saved notes.
- Includes scenarios for content ideation, competitor monitoring, and marketing report generation.
- CLI commands and options documented for quick start and flexible, multi-dimensional analysis.
Metadata
Frequently Asked Questions
What is 小红书内容分析 - 获取小红书内容表现数据?
内容获取分析, 当你需要分析小红书笔记、评论、点赞、收藏等数据时, 可以使用这个技能来获取小红书搜索数据,笔记详情,笔记评论数据. It is an AI Agent Skill for Claude Code / OpenClaw, with 107 downloads so far.
How do I install 小红书内容分析 - 获取小红书内容表现数据?
Run "/install xhs-content-analytics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 小红书内容分析 - 获取小红书内容表现数据 free?
Yes, 小红书内容分析 - 获取小红书内容表现数据 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 小红书内容分析 - 获取小红书内容表现数据 support?
小红书内容分析 - 获取小红书内容表现数据 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 小红书内容分析 - 获取小红书内容表现数据?
It is built and maintained by um-why (@um-why); the current version is v1.0.0.
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