Xiaohongshu (RED) Data

Search notes, products, and creator profiles on Xiaohongshu (小红书), China’s largest social commerce platform.

When to Use

• User asks about product reviews or recommendations on Xiaohongshu
• User wants to find trending products or content on RED
• User shares a Xiaohongshu link and wants note/product details
• User needs influencer/creator data for marketing
• User asks about Chinese consumer trends and lifestyle content

Important: Compliance Notice

This tool accesses publicly available data on Xiaohongshu. Users are responsible for:

• Complying with Xiaohongshu’s Terms of Service
• Respecting content creators’ intellectual property
• Using data for personal research purposes only
• Not scraping at excessive rates (recommended: max 1 request per 2 seconds)

MCP Server Setup

{
  "mcpServers": {
    "xiaohongshu-data": {
      "command": "npx",
      "args": ["-y", "@shopme/xiaohongshu-data-mcp"],
      "env": {
        "XHS_COOKIE": "your-xiaohongshu-cookie"
      }
    }
  }
}

How to Get XHS_COOKIE

1. Open https://www.xiaohongshu.com in your browser
2. Log in to your account
3. Open DevTools (F12) → Application → Cookies
4. Copy the full cookie string
5. Cookie expires periodically; you may need to refresh it

Available Tools

search_notes

Search Xiaohongshu notes by keyword.

• keyword: Search term (Chinese works best)
• sort: “general” (default), “popularity” (most liked), “latest” (newest)
• noteType: “all”, “normal” (image), “video”
• Returns: notes with title, engagement metrics, images, author info

get_note_detail

Get full details of a specific note.

• noteId: 24-character hex note ID
• Returns: full note content, engagement metrics, images/video, tags

search_xhs_products

Search products on Xiaohongshu Mall.

• keyword: Product search term
• Returns: products with prices, images, sales, ratings

get_creator_info

Get creator/influencer profile information.

• userId: 24-character hex user ID
• Returns: follower count, note count, likes, verification status

parse_xhs_url

Parse a Xiaohongshu URL to extract note/product/user ID.

• url: Any Xiaohongshu link
• Returns: type (note/product/user), extracted ID, next step hint

Understanding Xiaohongshu Data

Engagement Metrics

Key Insight

Collect-to-Like Ratio is the most important metric:

• 50%: Extremely high purchase intent (product is highly desired)

• 20-50%: Good commercial potential
• < 20%: More entertainment value than purchase intent

Content Types

• Normal notes (图文笔记): Image-based posts, often product reviews
• Video notes (视频笔记): Video content, tutorials, unboxings
• Product notes: Directly linked to Xiaohongshu Mall products

Search Tips

1. Use Chinese keywords for best results (e.g., “平价护肤” not “affordable skincare”)
2. Sort by popularity to find viral content
3. Sort by latest to find trending new products
4. Check tags for related search terms

Platform Context

Xiaohongshu has 300M+ monthly active users:

• Primary demographic: Women aged 18-35 in China
• Content focus: Beauty, fashion, lifestyle, food, travel
• Unique feature: Deep integration of content and commerce
• Trust factor: User-generated reviews are highly trusted by Chinese consumers