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小红书

XiaoHongShu (Little Red Book) data collection and interaction toolkit. Use when working with XiaoHongShu (小红书) platform for: (1) Searching and scraping notes/po

Introduction

# Xiaohongshu Skill

小红书(XiaoHongShu / Little Red Book)数据采集和交互工具包。基于RedCrack纯Python逆向工程实现。

## Quick Start

### Installation

Dependencies are already installed: ```bash pip install aiohttp loguru pycryptodome getuseragent ```

### Basic Usage

```python import asyncio import sys sys.path.insert(0, r'C:\\Users\\Chocomint\\.openclaw\\workspace\\xiaohongshu\\scripts')

from request.web.xhs_session import create_xhs_session

async def main(): # ✅ 推荐:不强制代理(有代理再填 proxy) # 说明:当前小红书接口经常对“未登录/游客”限制搜索能力。 # 如果 search 报 code=-104(未登录无权限),请提供 web_session。 xhs = await create_xhs_session(proxy=None, web_session="YOUR_WEB_SESSION_OR_NONE")

# Search notes res = await xhs.apis.note.search_notes("美妆") data = await res.json() print(data)

await xhs.close_session()

asyncio.run(main()) ```

## Core Capabilities

### 1. Search & Discovery

**Search notes by keyword:** ```python res = await xhs_session.apis.note.search_notes("口红") ```

**Get home feed (trending):** ```python # 注意:get_homefeed 需要 category 参数 res = await xhs_session.apis.note.get_homefeed( xhs_session.apis.note.homefeed_category_enum.FOOD ) ```

**Get note detail:** ```python # note_detail 需要 note_id + xsec_token(有时在搜索结果 item 里叫 xsec_token) res = await xhs_session.apis.note.note_detail(note_id, xsec_token) ```

### 2. User Interactions

**Get user info:** ```python res = await xhs_session.apis.auth.get_self_simple_info() ```

**Follow a user:** ```python res = await xhs_session.apis.user.follow_user(user_id) ```

**Like a note:** ```python res = await xhs_session.apis.note.like_note(note_id) ```

### 3. Comments

**Get comments for a note:** ```python # comments 也需要 note_id + xsec_token res = await xhs_session.apis.comments.get_comments(note_id, xsec_token) ```

## Configuration

### Proxy

代理不是硬性要求(本技能可以 `proxy=None` 运行)。但在以下情况建议使用代理: - 网络环境不稳定/请求超时 - 频繁触发风控(例如 461)想换出口 IP 试试

**不使用代理:** ```python xhs = await create_xhs_session(proxy=None, web_session=None) ```

**使用代理:** ```python xhs = await create_xhs_session( proxy="http://127.0.0.1:7890", web_session="your_web_session_cookie" # 需要登录能力时再提供 ) ```

### Encryption Parameters

All encryption parameters are automatically generated: - **Cookies**: a1, webId, acw_tc, web_session, sec_poison_id, websectiga, gid - **Headers**: x-s, x-s-common, x-t, x-b3-traceid, x-xray-traceid

Configuration file: `scripts/request/web/encrypt/web_encrypt_config.ini`

## Session Management

### Guest Mode (No Login) ```python xhs_session = await create_xhs_session(proxy="http://127.0.0.1:7890") ```

### Authenticated Mode (With Login) ```python xhs_session = await create_xhs_session( proxy="http://127.0.0.1:7890", web_session="030037afxxxxxxxxxxxxxxxxxxxaeb59d5b4" # Your cookie ) ```

### Close Session ```python await xhs_session.close_session() ```

## Links & IDs (重要)

- 小红书笔记的公开标识通常是 **note_id(十六进制风格字符串)**,例如:`697cc945000000000a02cdad`。 - 这个 note_id **可以做数学意义的 16 进制→10 进制转换**,但那只是“另一种表示法”,**不会变成小红书的短数字 ID(类似 App Store 的 id741292507)**,也不会更适合拼接小红书链接。 - 我们通过接口得到的可直接打开的网页链接通常形如: - `https://www.xiaohongshu.com/explore/<note_id>?xsec_token=...&xsec_source=pc_search` - **xhslink.com 短链**一般需要在 App/登录态里通过“分享→复制链接”获得;仅靠当前接口通常拿不到。

### 输出到聊天时的链接美化(推荐) 为了避免长链接难看,优先用**文本标签超链接**: - Markdown:`[标题](https://www.xiaohongshu.com/explore/...)`

---

## Available APIs

All APIs are accessible via `xhs_session.apis.*`:

**Authentication (`apis.auth`):** - `get_self_simple_info()` - Get current user info

**Notes (`apis.note`):** - `search_notes(keyword)` - Search notes by keyword - `get_homefeed(category)` - Get home feed - `note_detail(note_id, share_token)` - Get note details - `like_note(note_id)` - Like a note

**Comments (`apis.comments`):** - `get_comments(note_id, share_token)` - Get note comments

**User (`apis.user`):** - `follow_user(user_id)` - Follow a user - `get_user_info(user_id)` - Get user details

## Example Workflows

### Workflow 1: Search and Extract Notes

```python async def search_example(): xhs_session = await create_xhs_session(proxy="http://127.0.0.1:7890")

# Search for makeup tutorials res = await xhs_session.apis.note.search_notes("美妆教程") data = await res.json()

for note in data['data']['items']: print(f"Title: {note['display_title']}") print(f"Author: {note['user']['nickname']}") print(f"Likes: {note['liked_count']}") print("---")

await xhs_session.close_session() ```

### Workflow 2: Get Comments for Analysis

```python async def comments_example(): xhs_session = await create_xhs_session(proxy="http://127.0.0.1:7890")

note_id = "64f1a2d30000000013003689" res = await xhs_session.apis.comments.get_comments(note_id, "") data = await res.json()

for comment in data['data']['comments']: print(f"User: {comment['user']['nickname']}") print(f"Content: {comment['content']}") print(f"Likes: {comment['like_count']}") print("---")

await xhs_session.close_session() ```

### Workflow 3: User Profile Analysis

```python async def profile_example(): xhs_session = await create_xhs_session( proxy="http://127.0.0.1:7890", web_session="your_cookie_here" )

# Get self info res = await xhs_session.apis.auth.get_self_simple_info() data = await res.json()

print(f"Username: {data['data']['user']['nickname']}") print(f"Followers: {data['data']['user']['follows']}") print(f"Fans: {data['data']['user']['fans']}")

await xhs_session.close_session() ```

## Important Notes

1. **Proxy is required** for most operations due to XiaoHongShu's anti-scraping measures 2. **Rate limiting**: Be respectful with request frequency to avoid IP bans 3. **Authentication**: Some operations require login (web_session cookie) 4. **Legal compliance**: Use only for legitimate research and data analysis purposes

## Technical Details

Based on [RedCrack](https://github.com/Cialle/RedCrack) - Pure Python reverse engineering of XiaoHongShu's encryption algorithms.

**What's automatically handled:** - Base64/Base58 custom encoding - RC4/XOR encryption - MD5/SHA256 hashing - Custom signature generation (x-s, x-s-common) - Dynamic cookie generation (a1, webId, sec_poison_id, etc.)

**No JavaScript runtime required** - All encryption is pure Python.

## Troubleshooting

### Connection errors - Verify your proxy is running on the configured port - Try different proxy servers if needed - Check network connectivity

### 461 errors(风控/安全校验) - 这通常不是代码语法问题,而是触发了小红书的风控/安全校验。 - 典型现象:`OtherStatusError: 461异常`,或者接口返回看似 success=true 但 HTTP=461。

应对建议: - 降低频率/加随机 sleep、避免并发 - 换关键词/换 endpoint(例如先用搜索拿到 note_id + xsec_token,再查 detail) - 使用稳定的登录态(web_session) - 必要时更换代理出口

### 401/403 errors - web_session 可能过期 - 小红书可能更新了风控参数/签名逻辑(需要更新逆向实现)

### Import errors - Ensure all dependencies are installed: `pip install aiohttp loguru pycryptodome getuseragent` - Check that the skill path is correct in `sys.path.insert()`

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