# 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.

- **Type:** Skill
- **Install:** `agentstack add skill-jovijovi-skills-xiaohongshu-extract`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [jovijovi](https://agentstack.voostack.com/s/jovijovi)
- **Installs:** 0
- **Category:** [Content & Media](https://agentstack.voostack.com/c/content-and-media)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [jovijovi](https://github.com/jovijovi)
- **Source:** https://github.com/jovijovi/skills/tree/main/skills/xiaohongshu-extract

## Install

```sh
agentstack add skill-jovijovi-skills-xiaohongshu-extract
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Xiaohongshu Extract

## 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:

```bash
python scripts/xiaohongshu_extract.py "" --pretty
```

Write JSON to a file:

```bash
python scripts/xiaohongshu_extract.py "" --output /tmp/xhs_note.json
```

Output only the flattened record:

```bash
python scripts/xiaohongshu_extract.py "" --flat-only --pretty
```

Write only the flattened record to a file:

```bash
python scripts/xiaohongshu_extract.py "" --flat-only --output /tmp/xhs_flat.json
```

Emit errors as JSON:

```bash
python scripts/xiaohongshu_extract.py "" --error-json
```

Emit errors as JSON to a file:

```bash
python scripts/xiaohongshu_extract.py "" --error-json --output /tmp/xhs_error.json
```

## Workflow

1. Run `scripts/xiaohongshu_extract.py` with the user-provided URL.
2. If the script fails to find `window.__INITIAL_STATE__`, ask the user for a direct discovery URL.
3. 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.

## Resources

### scripts/

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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [jovijovi](https://github.com/jovijovi)
- **Source:** [jovijovi/skills](https://github.com/jovijovi/skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-jovijovi-skills-xiaohongshu-extract
- Seller: https://agentstack.voostack.com/s/jovijovi
- Browse the marketplace: https://agentstack.voostack.com/browse

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