广告合作
MCP.so
登录

App Store Scraper MCP Server

@appreply-co

代码仓库主页

基本信息

分类

浏览器自动化

许可证

MIT

传输方式

stdio

作者

appreply-co

关于 App Store Scraper MCP Server

This is an MCP server that provides tools to LLMs for searching and analyzing apps from both Google Play Store and Apple App Store – perfect for ASO.

#mcp#google-play#appstore#aso#google-play-scraper#app-store-scraper#mcp-server

App Store Scraper MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

App Store Scraper MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is App Store Scraper MCP Server?

An MCP server that provides tools for searching and analyzing apps from both the Google Play Store and Apple App Store. It is built by AppReply.co and is aimed at ASO (App Store Search Optimization) tasks.

How to use App Store Scraper MCP Server?

Clone the repository, install dependencies with npm install, and run npm start to start the server in studio mode. Add the server to your MCP client configuration (e.g., .mcp.json for Claude Code or claude_desktop_config.json for Claude Desktop) using the node command with the absolute path to server.js.

Key features of App Store Scraper MCP Server

  • Search apps by name across iOS and Android platforms
  • Get detailed app information including ratings, reviews, and metadata
  • Analyze top keywords with brand presence and competition metrics
  • Analyze app reviews for sentiment, common themes, and keyword frequency
  • Fetch raw reviews with support for developer responses on Android
  • Find similar or related apps for both platforms

Use cases of App Store Scraper MCP Server

  • Perform App Store Search Optimization (ASO) keyword research
  • Analyze competitor apps' ratings, reviews, and sentiment
  • Monitor app market trends and category distribution
  • Extract raw user reviews for qualitative analysis

常见问题

1

What platforms does the server support?

It supports both the Google Play Store (Android) and Apple App Store (iOS).

2

How do I configure the server for Claude Desktop or Claude Code?

Add an `mcpServers` entry to your configuration file with `command: "node"` and `args` including the absolute path to `server.js`. For Claude Code, you can also use `claude mcp add --transport stdio`.

3

What parameters are required for the search_app tool?

You need to provide a `term` (search term) and `platform` ("ios" or "android"). Optional parameters include `num` (results count, default 10, max 250) and `country` (two-letter code, default "us").

4

Can I fetch reviews with developer responses?

Yes, the `fetch_reviews` tool returns raw reviews and includes `replyDate` and `replyText` fields for Android apps where the developer has responded.

5

What is the maximum number of reviews that can be analyzed?

For the `analyze_reviews` tool, the default is 100 reviews, with a maximum of 1000. For `fetch_reviews`, default is 100, max 1000.

评论

浏览器自动化 分类下的更多 MCP 服务器

Playwright MCP Server 🎭

executeautomation

Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌

5.6K

TinyFish

tinyfish

Give your AI agent the live web. One MCP server for Search, Fetch, Browser, and Agent: browse real sites, extract structured data, fill forms, and run multi-step workflows. Search and Fetch are free.

3

Screenshot Scout

screenshotscout

Capture screenshots of webpages as images or PDFs with Screenshot Scout.

BrowserTools MCP

AgentDeskAI

Monitor browser logs directly from Cursor and other MCP compatible IDEs.

7.3K

Fastcrw

us

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.

286
广告合作