Agent skill · Data & Analytics

xiaohongshu-search

Search Xiaohongshu (RedNote / xhs) notes by keyword and return a paginated list with title, author, engagement stats (likes, collects, comments), cover image URL, and xsecToken for detail lookup. Use when user mentions find notes on xiaohongshu, search rednote, search xhs, scrape xiaohongshu search, xiaohongshu keyword search, rednote post search, xhs search results, monitor xiaohongshu topics, KOL content discovery via xiaohongshu, xiaohongshu note list, rednote scrape, xhs data collection, collect xiaohongshu posts, xiaohongshu topic search, xiaohongshu content monitoring, rednote post list,

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill xiaohongshu-search --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: yes
Path: solutions/social-listening/xiaohongshu-search/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Xiaohongshu — Search Notes > keyword → list of notes with title, author, engagement stats, xsecToken ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Search Xiaohongshu notes by keyword and extract the result list including engagement metrics and tokens for downstream detail lookup. ## Prerequisites - Browser opened to `https://www.xiaohongshu.com/search_result/?keyword={keyword}` - User is logged in (avatar or username visible in the left sidebar) ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ### 2. Login Verification If login status for Xiaohongshu has been confirmed in the current session → skip this step. Otherwise: open `https://www.xiaohongshu.com` and observe the left sidebar: - User avatar or "Me" entry visible → logged in, continue execution - "Login" button visible → not logged in, inform the user that login is required, use `remote-assist` to let the user scan the QR code Us

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. 2. Login Verification
  7. Capability Components
  8. DOM: extract search results
  9. AI Workflow: apply sort and note-type filters (before extraction)
  10. Enum Parameters
  11. Pagination
  12. Success Criteria
  13. Known Limitations
  14. Execution Efficiency
Ships with 1 file
  • scripts/extract-search.py
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About this skill
What does the xiaohongshu-search skill do?

Search Xiaohongshu (RedNote / xhs) notes by keyword and return a paginated list with title, author, engagement stats (likes, collects, comments), cover image URL, and xsecToken for detail lookup. Use when user mentions find notes on xiaohongshu, search rednote, search xhs, scrape xiaohongshu search, xiaohongshu keyword search, rednote post search, xhs search results, monitor xiaohongshu topics, KOL content discovery via xiaohongshu, xiaohongshu note list, rednote scrape, xhs data collection, collect xiaohongshu posts, xiaohongshu topic search, xiaohongshu content monitoring, rednote post list,

How do I install it?

Run `npx skills add browser-act/skills --skill xiaohongshu-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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