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xiaohongshu-search-agent

Retrieves Xiaohongshu notes, details and comments via keyword search and MCP data enrichment.

Updated Aug 27, 2026
Search Tags:#social media#market research#content analysis#user feedback#xiaohongshu#search agent
One-click install
npx skills add https://github.com/gaoming-a/OppScout --skill xiaohongshu-search-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xiaohongshu-search-agent
Source: https://github.com/gaoming-a/OppScout/tree/main/skills/xiaohongshu-search-agent
Command: npx skills add https://github.com/gaoming-a/OppScout --skill xiaohongshu-search-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for targeted information retrieval and analysis specifically from the Xiaohongshu platform, enabling deeper insights into user sentiment and product reception.

Core Features & Use Cases

  • Platform-Specific Search: Executes keyword searches tailored for Xiaohongshu to find relevant notes and discussions.
  • Detail Enrichment: Integrates with platform data (MCP) to provide richer context for retrieved notes.
  • Comment Analysis: Extracts and flattens valuable comments and replies, preserving user intent and sentiment.
  • Use Case: A product manager wants to understand user feedback on a new beauty product launched on Xiaohongshu. This Skill can find popular notes about the product, extract detailed user comments discussing its pros and cons, and present this information for analysis.

Quick Start

Use the xiaohongshu-search-agent skill to find notes related to 'sustainable fashion' and extract their key comments.

Frequently Asked Questions about xiaohongshu-search-agent

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

FAQPage Schema
How do I extract and analyze user comments from Xiaohongshu notes?▼

To extract and analyze user comments from Xiaohongshu, this skill uses browser-assisted keyword search to retrieve notes and flattens valuable comments and replies into a structured format for sentiment analysis.

Can I search Xiaohongshu notes without an active local login state?▼

Searching Xiaohongshu notes requires an active local login state in the browser. The skill relies on this existing session to execute platform-specific keyword searches and retrieve detail pages.

How does this skill enrich Xiaohongshu note details for market research?▼

This skill enriches Xiaohongshu note details by integrating with platform data via MCP. It retrieves high-signal comments and detail pages, providing richer context for market research and product reception analysis.

What is the best way to gather user feedback on a new product from Xiaohongshu?▼

The best way to gather user feedback on Xiaohongshu is using a search agent to find popular notes about your product, extract detailed discussions, and flatten replies to surface user sentiment and pros and cons.

Does retrieving high-signal comments from Xiaohongshu require specific scripts?▼

Retrieving high-signal comments requires specific scripts for keyword intelligence and access bootstrapping. These scripts execute the platform search and extract valuable replies for structured analysis.

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