# rednote-crawler

> Use this tool when you need to collect data from Xiaohongshu/RED, such as notes, comments, and user information, and require a reliable and stealthy method to do so. It solves problems of data accessibility and anti-detection, providing a persistent login feature for uninterrupted data collection. The tool takes search queries as input and outputs collected data, making it ideal for AI assistants needing to gather information from the platform.

Canonical page: https://skillsregistry.net/skills/yangsijie666-xiaohongshu-crawler  
JSON: https://api.skillsregistry.net/v1/skills/yangsijie666-xiaohongshu-crawler

## Description

Enables AI assistants to search and collect data from Xiaohongshu/REDnote, including notes, comments, and user info, with dual-layer anti-detection and persistent login.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gnnrgjbqj7)
- **Repository:** <https://github.com/yangsijie666/xiaohongshu-crawler>

## 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": "yangsijie666-xiaohongshu-crawler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yangsijie666-xiaohongshu-crawler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yangsijie666-xiaohongshu-crawler/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