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xiaohongshu-extract

Extract metadata from Xiaohongshu (XHS) share or discovery URLs by parsing window.__INITIAL_STATE__ and returning note details. Use when asked to fetch XHS page content, note metadata, video info, or engagement stats from a public XHS link.

skill openclawclawhub Free
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High Signal

Extract metadata from Xiaohongshu (XHS) share or discovery URLs by parsing window.__INITIAL_STATE__ and returning note details. Use when asked to fetch XHS page content, note metadata, video info, or engagement stats from a public XHS link.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, agents/openai.yaml, scripts/xiaohongshu_extract.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 5 sections Open source page

Overview

Extract note metadata (title, desc, type, time, user, engagement, tags, video stream info) from an XHS share or discovery URL using the bundled script.

Quick Start

Run the extractor and print JSON to stdout: python scripts/xiaohongshu_extract.py "<xhs_url>" --pretty Write JSON to a file: python scripts/xiaohongshu_extract.py "<xhs_url>" --output /tmp/xhs_note.json Output only the flattened record: python scripts/xiaohongshu_extract.py "<xhs_url>" --flat-only --pretty Write only the flattened record to a file: python scripts/xiaohongshu_extract.py "<xhs_url>" --flat-only --output /tmp/xhs_flat.json Emit errors as JSON: python scripts/xiaohongshu_extract.py "<xhs_url>" --error-json Emit errors as JSON to a file: python scripts/xiaohongshu_extract.py "<xhs_url>" --error-json --output /tmp/xhs_error.json

Workflow

Run scripts/xiaohongshu_extract.py with the user-provided URL. If the script fails to find window.__INITIAL_STATE__, ask the user for a direct discovery URL. Use the JSON output to summarize note metadata or to feed downstream analysis.

Output Notes

The script returns a JSON object with: note_id, title, desc, type, time, ip_location user (nickname, user_id, avatar) interact (liked/collected/comment/share counts, plus normalized *_num values) tags video (video_id, duration, width, height, fps, size, stream_url) field_mapping (nested-to-flat field name map) flat (flattened record with normalized counts and ISO timestamp) If the stream list is empty, video fields may be null or empty. If --flat-only is set, only flat is printed. If --error-json is set, errors are emitted as JSON and may include final_url and status_code when available.

scripts/

scripts/xiaohongshu_extract.py extracts note metadata from XHS share/discovery URLs.

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • scripts/xiaohongshu_extract.py Scripts
  • agents/openai.yaml Config