xiaohongshu-search-full
Search Xiaohongshu (XHS / RedNote) notes by keyword with full field extraction including body text, topics/tags, image list URLs, video stream URL, publish timestamp, and all engagement stats (likes, collects, comments, shares). Supports all page filter options: sort order (general, latest, most liked, most commented, most collected), note type (image-text, video), publish time range (within 1 day, 1 week, 6 months), search scope (seen, unseen, followed), and location distance (same city, nearby). Use when user mentions search xiaohongshu notes, xhs keyword search, rednote note search, search
npx skills add browser-act/skills --skill xiaohongshu-search-full --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Xiaohongshu — Search Notes (Full Fields) > keyword + filters → note list with full metadata (title, body, images, video URL, tags, stats) + detail enrichment ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Search Xiaohongshu notes by keyword, apply page filter options, and extract the maximum available fields from both the search results list and individual note detail pages. ## Prerequisites - Browser opened to `https://www.xiaohongshu.com/search_result/?keyword={keyword}` - User is logged in (avatar or username visible in the left sidebar) ## Phase 0: Collect User Inputs **First action**: check whether the search keyword is already present in the user's message. **Keyword is present** (e.g., "搜索 BrowserAct", "search for AI tools", "/xiaohongshu-search-full blockchain") → use it directly, skip to Pre-execution Checks. **Keyword is NOT present** → STOP. Do NOT output "ready" or proceed with any execution. Ask the user for the keyword: - If the **AskUserQuestion** tool is available → call it immediately with: - Question 1 (required): "请问您想在小红书上搜索什么关键词？" - Question 2 (optional): pages needed (default: first
- Language
- Objective
- Prerequisites
- Phase 0: Collect User Inputs
- Pre-execution Checks
- 1. Tool Readiness
- 2. Login Verification
- Capability Components
- DOM: extract search feeds list (preferred method)
- AI Workflow: keyword search (title + body match)
- Network Capture: search notes list (fallback method)
- DOM: extract note detail (body, topics, video URL, exact timestamp)
- AI Workflow: apply filters (before search capture)
- Composite: search + enrich (search list → detail page loop)
python scripts/extract-search-feeds.py | browser-act --session <name> eval --stdin
What does the xiaohongshu-search-full skill do?
Search Xiaohongshu (XHS / RedNote) notes by keyword with full field extraction including body text, topics/tags, image list URLs, video stream URL, publish timestamp, and all engagement stats (likes, collects, comments, shares). Supports all page filter options: sort order (general, latest, most liked, most commented, most collected), note type (image-text, video), publish time range (within 1 day, 1 week, 6 months), search scope (seen, unseen, followed), and location distance (same city, nearby). Use when user mentions search xiaohongshu notes, xhs keyword search, rednote note search, search
How do I install it?
Run `npx skills add browser-act/skills --skill xiaohongshu-search-full --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.