# Xiaohongshu Search and Comment

> Use this tool when you need to search and analyze content from Xiaohongshu, a popular Chinese social media platform, to access real-time social media data for market research, trend analysis, and social media monitoring. It takes search queries as input and returns relevant comments and search results as output, handling complexities like authentication and pagination. Ideal for AI systems requiring Chinese consumer market insights without direct API access.

Canonical page: https://skillsregistry.net/skills/chenningling-xiaohongshu-search-comment  
JSON: https://api.skillsregistry.net/v1/skills/chenningling-xiaohongshu-search-comment

## Description

RedBook-Search-Comment-MCP is a Python-based MCP server that enables AI assistants to search and analyze content from Xiaohongshu (Little Red Book), a popular Chinese social media platform. Built with Playwright for browser automation, the implementation provides tools for retrieving comments and search results from Xiaohongshu, allowing AI systems to access real-time social media data without direct API access. The server handles web scraping complexities including authentication, pagination, and content extraction, making it valuable for market research, trend analysis, and social media monitoring use cases focused on the Chinese consumer market.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chenningling-xiaohongshu-search-comment)
- **Repository:** <https://github.com/chenningling/redbook-search-comment-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chenningling-xiaohongshu-search-comment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chenningling-xiaohongshu-search-comment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chenningling-xiaohongshu-search-comment/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt