xiaohongshu-search
小红书内容搜索工具。通过 browser 工具操控已登录的 Chrome，搜索小红书公开笔记，提取标题、正文、话题标签、点赞数，分析消费趋势。用于市场调研中的消费者趋势研究。
Best use case
xiaohongshu-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
小红书内容搜索工具。通过 browser 工具操控已登录的 Chrome，搜索小红书公开笔记，提取标题、正文、话题标签、点赞数，分析消费趋势。用于市场调研中的消费者趋势研究。
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?
小红书内容搜索工具。通过 browser 工具操控已登录的 Chrome，搜索小红书公开笔记，提取标题、正文、话题标签、点赞数，分析消费趋势。用于市场调研中的消费者趋势研究。
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.
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SKILL.md Source
# 小红书搜索 Skill
## 前置条件
browser 工具需要 Chrome 开启远程调试模式：
```
chrome.exe --remote-debugging-port=9222
```
## 搜索流程
### Step 1：搜索关键词
在发现页搜索框输入关键词：
```
browser type <搜索框ref> "<关键词>"
browser press <搜索框ref> Enter
```
或者直接访问搜索结果 URL：
```
browser open "https://www.xiaohongshu.com/search_result?keyword=<关键词>&source=web_explore_feed"
```
### Step 2：等待并获取快照
```
browser wait "<selector>" --load networkidle
browser snapshot
```
### Step 3：提取内容
从 snapshot 中提取：
- 笔记标题和链接
- 作者昵称
- 点赞/收藏数
### Step 4：读取单篇笔记正文
点击进入详情页：
```
browser click <ref>
browser wait "#detail-content" --load networkidle
browser evaluate --fn "() => ({
title: document.querySelector('.title')?.innerText,
author: document.querySelector('.author')?.innerText,
content: document.querySelector('#detail-content')?.innerText,
tags: Array.from(document.querySelectorAll('.hashtag')).map(el => el.innerText),
likes: document.querySelector('.like-wrapper .count')?.innerText
})"
```
## 消费趋势研究示例
**关键词**：`2025消费趋势`、`社区商业`、`新中式`、`亲子餐厅`
**操作序列**：
```
browser open "https://www.xiaohongshu.com/search_result?keyword=2025消费趋势&source=web_explore_feed"
browser wait ".note-item" --load networkidle
browser snapshot
```
## 输出格式
```
【小红书趋势搜索】关键词：2025消费趋势
📌 热门笔记：
1. [标题] @作者 - 👍N
摘要...
2. [标题] @作者 - 👍N
摘要...
🏷️ 高频话题：#消费趋势 #2025 #...
💡 趋势洞察：
- （AI 综合分析这段趋势，可用于商业定位参考）
```
## 在商业市调报告中的应用
整合到 `shangyecehua.skill` Step 1 数据收集中：
```
【补充】小红书趋势研究：
browser 搜索 "<城市> <业态> 消费趋势" 或 "<业态> 探店"
→ 提取消费者偏好、热门话题、新兴业态
→ 作为商业定位和业态规划的参考
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