Full Code of xhs996/xhs_spider for AI

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Repository: xhs996/xhs_spider
Branch: main
Commit: fb5a4ba1fbde
Files: 2
Total size: 1004 B

Directory structure:
gitextract_40hg36ey/

├── README.md
└── demo.py

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FILE CONTENTS
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FILE: README.md
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# 小红书数据采集

> 独家一手资源，没有中间商赚差价。

## 小红数据采集API
**一手资源，全网最稳定代采接口，市面上很多代采服务商都是二次封装我们的服务。**

实时接口，无需考虑**账号、风控、加密**问题，提供最简单方式调用

小红书App端接口、Web端接口，更多其他接口也可以联系我们开发。

详细接口文档联系我们获取

| **接口**        | **端** |
| --------------- | ------ |
| 笔记详情        | app    |
| 评论列表        | app    |
| 子评论列表      | app    |
| 标签作品列表    | app    |
| app搜索            | app    |
| 作品列表        | app    |
| 用户详情        | app    |
| 电商相关        | ↓↓↓    |
| 商品详情        | app    |
| 搜索商品        | app    |



# 联系方式（有需求有预算的来，白嫖勿扰）

优先点击联系飞机👉：https://t.me/xhs996

微信可能加不上：geekdogx

![tg](https://github.com/xhs996/xhs_spider/blob/main/tg.jpg)

**引流：** 小红书爬虫，小红书采集，小红书数据，小红书账号，小红书逆向，小红书web，小红书app

小红书主页，小红书笔记，小红书作者页，小红书搜索，小红书发送笔记，小红书关注，小红书点赞，小红书评论，小红书作品。

批量发笔记，批量点赞，批量关注，批量评论，x-legacy-smid、x-legacy-did、x-legacy-fid、x-legacy-sid、x-mini-gid、x-mini-sig、x-mini-mua、xy-common-params、xy-platform-info、main_hmac、App Shield x-mini-mua x-mini-sig x-mini-gid x-mini-s1 算法
Web x-s、x-s-common 算法

2026年04月15日更新


================================================
FILE: demo.py
================================================
import Telegram

print("TG飞机联系")
Download .txt 
gitextract_40hg36ey/

├── README.md
└── demo.py
Download .json
Condensed preview — 2 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (2K chars). 
[
  {
    "path": "README.md",
    "chars": 972,
    "preview": "# 小红书数据采集\n\n> 独家一手资源，没有中间商赚差价。\n\n## 小红数据采集API\n**一手资源，全网最稳定代采接口，市面上很多代采服务商都是二次封装我们的服务。**\n\n实时接口，无需考虑**账号、风控、加密**问题，提供最简单方式调用"
  },
  {
    "path": "demo.py",
    "chars": 32,
    "preview": "import Telegram\n\nprint(\"TG飞机联系\")"
  }
]

About this extraction

This page contains the full source code of the xhs996/xhs_spider GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 2 files (1004 B), approximately 553 tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

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