
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-codeInstalls 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
- Simulate a search for the keyword on Xiaohongshu in a headed browser.
- Advance through image sliders to fully load all lazy pictures from the top N posts.
- Extract titles, descriptions, top comments, and all high-resolution images.
- 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