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Xiaohongshu Search Summarizer

This automates scraping Xiaohongshu posts for any keyword you throw at it, bypassing the platform's aggressive anti-bot defenses by spinning up a headed Playwright browser that looks like a real user. It grabs the top N posts with their text, images, and comments, downloads everything locally, then hands you a raw markdown file. The real value is in phase two: Claude reads that file, actually views the images with vision capabilities, and synthesizes everything into a proper analytical report instead of just dumping post lists at you. You'll need playwright-cli and Python with requests installed. Useful when you're doing market research or competitive analysis and need to pull together what Chinese users are actually saying and showing about a topic on Little Red Book.

skills.sh installs
207
GitHub stars
44
last updated
Jun 3, 2026

Install

$ npx -y skills add piekill/xiaohongshu-summarizer-skill --skill xiaohongshu-search-summarizer --agent claude-code

Installs into .claude/skills of the current project.

Files

Xiaohongshu Search and Summarize

This skill automates the process of extracting high-quality multi-modal content (text + images) from Xiaohongshu (小红书) and actively assists you in generating a deeply integrated, analytical final report for the user. Due to Xiaohongshu's aggressive anti-scraping mechanisms, direct HTTP requests or naive scraping often result in 404s or blocks. This skill natively bypasses these by simulating a real user through the playwright-cli in a headed browser window.

It operates in two distinct phases:

Phase 1: Subagent Data Collection

  1. Simulate a search for the keyword on Xiaohongshu in a headed browser.
  2. Advance through image sliders to fully load all lazy pictures from the top N posts.
  3. Extract titles, descriptions, top comments, and all high-resolution images.
  4. Download those images to a local directory and generate a raw data document ([keyword]_raw_data.md).

Sponsors

Details

Repository
github.com/piekill/xiaohongshu-summarizer-skill
First seen
Jun 3, 2026

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