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xiaohongshu-search

Search Xiaohongshu notes by keyword and return structured JSON with engagement metrics.

5.3k|252|Updated Feb 6, 2026
Search Tags:#pagination#token#data-extraction#xiaohongshu#engagement-metrics#xhs#note-search
One-click install
npx skills add https://github.com/browser-act/skills --skill xiaohongshu-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xiaohongshu-search
Source: https://github.com/browser-act/skills/tree/main/solutions/social-listening/xiaohongshu-search
Command: npx skills add https://github.com/browser-act/skills --skill xiaohongshu-search

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Xiaohongshu note search often requires manual browsing to compile note metadata. This Skill automates searching notes by keyword and returns a structured list with title, author, engagement stats, cover image URL, and xsecToken for downstream detail lookup.

Core Features & Use Cases

  • Keyword-based note search on Xiaohongshu that returns a paginated list of notes with id, xsecToken, type, title, author nicknames, and engagement metrics (likes, collects, comments) plus cover URLs.
  • Pagination and downstream lookup: supports hasMore and page for multi-page results and provides xsecToken for detail lookup in subsequent steps.
  • Login-required aware: designed to operate with the user's Xiaohongshu session; notes that login is required to access actual feeds.

Quick Start

Enter a keyword to search Xiaohongshu notes and receive the first page of results with titles, authors, engagement stats, and xsecToken.

Frequently Asked Questions about xiaohongshu-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search Xiaohongshu notes and extract engagement metrics automatically?▼

Searching Xiaohongshu notes by keyword returns structured JSON with author nicknames, engagement metrics including likedCount and collectedCount, cover URLs, and xsecToken for downstream detail lookup.

What data fields are available when extracting Xiaohongshu search results?▼

Xiaohongshu note search returns structured JSON with note id, xsecToken, type, title, userId, nickname, likedCount, collectedCount, commentCount, and coverUrl for content discovery and analysis.

Do I need to login to Xiaohongshu to search notes and retrieve feeds data?▼

Yes, searching Xiaohongshu notes requires an active login session to access actual feeds, reading on-page JavaScript data from window.__INITIAL_STATE__.search.feeds to return structured JSON results.

How do I handle pagination for large Xiaohongshu note search results?▼

Xiaohongshu note search supports multi-page results by returning hasMore and page fields in the JSON, enabling pagination through keyword search feeds for extended content discovery.

What is xsecToken used for in Xiaohongshu note search results?▼

The xsecToken returned in Xiaohongshu search results enables downstream detail lookup, allowing subsequent steps to retrieve full note content following the initial keyword search.

Can I use Xiaohongshu note search for influencer identification and topic monitoring?▼

Xiaohongshu note search supports content discovery, topic monitoring, and influencer identification by returning author nicknames alongside engagement metrics including likes, collects, and comments per note.

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