Search and retrieve XiaoHongShu notes, comments, and user profiles.
npx skills add https://github.com/Wike-CHI/acquisition-agent --skill xiaohongshu-wike-chi
Please help me install this Agent Skill. Skill: xiaohongshu Source: https://github.com/Wike-CHI/acquisition-agent/tree/main/skills/xiaohongshu Command: npx skills add https://github.com/Wike-CHI/acquisition-agent --skill xiaohongshu-wike-chi
Manually navigating 小红书 to find notes, retrieve details, comment, like, or publish content is time‑consuming and error‑prone, especially for marketers and researchers who need reliable data and rapid engagement.
Ask the xiaohongshu skill to search for notes about “coffee” and show the first three results.
High-intent search queries and answers about installing and using this skill.
You can search 小红书 notes by keyword and retrieve full post data including images, comments, and interaction metrics. This skill builds JSON RPC calls using Python 3, curl, and jq to fetch and process responses automatically.
Yes, you can publish image-text or video posts and post comments directly on 小红书. The skill requires the xiaohongshu-mcp service and xiaohongshu-login dependency to authenticate and execute engagement actions like commenting and liking.
You need Python 3, jq, curl, and the xiaohongshu-mcp service to build JSON RPC calls and process responses. Additionally, xiaohongshu-login is required for authentication, and xvfb is needed to handle browser interactions in a headless environment.
Exporting 小红书 posts as long image files is fully supported for marketing workflows. You can extract top posts by keyword and convert them into a single long image for easy sharing in campaign briefs or research reports.
Topic tracking on 小红书 works by searching keyword-related notes, retrieving interaction metrics, and processing data to generate analysis reports for trending topics. This helps marketers identify popular content and engagement patterns for research workflows.
The best way to fetch a user profile and notes on 小红书 is to use this skill's user access feature. It retrieves a user's homepage and their list of published notes by constructing JSON RPC calls through the xiaohongshu-mcp service.
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