小

小红书热帖获取

Name: 小红书热帖获取
Author: chaseSpace

@chaseSpace

リポジトリ

小红书热帖获取について

概要はまだありません

基本情報

カテゴリ

ブラウザ自動化

トランスポート

stdio

公開者

chaseSpace

投稿者

LEI LI

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp_fetch_xhs_post": {
      "command": "仅支持本地sse部署",
      "args": [],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 小红书热帖获取?

小红书热帖获取 is an MCP server that fetches trending posts from Xiaohongshu (Little Red Book) based on a keyword. It uses the FastMCP SDK and requires user authentication via QR code delivered through DingTalk. Developers and researchers can integrate this server into MCP clients to retrieve post data for educational or research purposes.

How to use 小红书热帖获取?

Clone the repository, install dependencies with uv sync, then run uv run main.py. Configure DingTalk webhook and secret in a mcp.env file. Add the server to your MCP client with transport type SSE and URL http://127.0.0.1:9090/sse. On first run, scan the QR code sent to DingTalk to log in to Xiaohongshu. Use the fetch_xhs_hot_post tool to get posts by keyword.

Key features of 小红书热帖获取

Fetches hot Xiaohongshu posts by keyword
Returns 5–10 posts per request (configurable)
Includes title, content, publish time, and tags
Uses DingTalk for secure login
Runs locally with Python 3.12+ and Chrome

Use cases of 小红书热帖获取

Analyze trending topics on Xiaohongshu
Collect data for social media research
Monitor keyword-specific content trends
Feed post data into analytics pipelines

FAQ from 小红书热帖获取

How does authentication work?

The server sends a Xiaohongshu login QR code to a configured DingTalk group. You must scan it within 30 seconds; the process retries up to 3 times.

What data fields are returned for each post?

Each post includes its title, content, publish time, and associated tags. Refer to the Post model in model.py for the full schema.

Can I fetch more than 10 posts?

No. The server fetches a default of 5–10 posts per request and does not support pagination.

What are the system requirements?

Python 3.12+, Chrome browser, and an active internet connection. DingTalk robot credentials are required.

Is this server available on PyPI?

No. It is only distributed via GitHub for local deployment.

「ブラウザ自動化」の他のコンテンツ

Apify Model Context Protocol (MCP) Server

apify

The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.

1.7K

Scrapling Fetch MCP

cyberchitta

Helps AI assistants access text content from bot-protected websites. MCP server that fetches HTML/markdown from sites with anti-automation measures using Scrapling.

101