App Store & Google Play Reviews AI (via Apify)

io.github.retracnv1.0.0更新于 Oct 3, 2026

AI summary of App Store and Google Play reviews: bugs, feature requests and critical issues.

已验证Streamable HTTP可网页运行Web Search & ScrapingData & Analytics

概览

AI 生成的概览

抓取 App Store 和 Google Play 的应用评论，并生成包含缺陷、功能请求和严重问题的 AI 报告。

功能
这个远程 MCP 服务器封装了一个 Apify Actor，可按应用名称、商店链接或 ID 抓取指定应用在 App Store 和 Google Play 上的最新评论，并支持同时查询多个 App Store 国家。每个应用在每个商店返回一份报告：评分统计、星级分布、各版本评分、主要缺陷、功能请求、严重问题、竞品提及，以及每个应用每个商店最多 500 条原始评论。仅新评论模式可用于周期性监控。
适用场景
当你希望助手汇总一个或多个移动应用的用户反馈、通过各版本评分发现糟糕的版本，或持续跟踪新缺陷和功能请求时，适合使用。它面向产品、客服和市场调研任务，而非通用网页搜索。
运行要求
使用 mcp.apify.com 上的远程 MCP 端点，无需本地运行时。需要 Apify API 令牌，通过 Authorization 请求头以 Bearer 形式发送，并需要一个免费的 Apify 账户。底层 Actor 按每份应用报告计费。
安装前请注意
Authorization 请求头携带你的 Apify API 令牌，这是可计费的凭据，请妥善保密。每次运行费用为每份应用报告 0.05 美元（Gold 用户 0.04 美元），仅成功的 AI 报告会计费，因此重复运行或应用列表过多会产生费用。评论数据经 Apify 从 Apple 和 Google 获取并由该 Actor 的 AI 分析处理，应用名称和链接会发送给第三方。

安装

在 SourceWeft 中

  1. 打开 控制台中的 App Store & Google Play Reviews AI (via Apify)，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "app-reviews-ai": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=automationnation/app-store-review-miner"
    }
  }
}

README

App Store and Google Play reviews with an AI report of bugs and feature requests

[Run on Apify]

App Store & Google Play Reviews Scraper + AI is an Apify Actor that scrapes the newest App Store and Google Play reviews for any app and turns them into an AI report of top bugs, feature requests and critical issues.

Price: $0.05 per app report ($0.04 on Gold) · Run it: https://apify.com/automationnation/app-store-review-miner · Guide: https://retracn.github.io/automationnation-actors/app-store-review-miner/

Quick facts

  • One report per app per store: rating statistics, star distribution, ratings per app version, top bugs, feature requests, critical issues, competitor mentions and the raw reviews (up to 500 per app per store).
  • Input app names, App Store or Google Play links, or IDs; several App Store countries at once.
  • Price: $0.05 per app report ($0.04 on Gold); only successful AI reports are charged.
  • Only-new-reviews mode for weekly monitoring.

Example input

json
{  "appNames": [    "Duolingo"  ]}

Run it from code

REST API

bash
curl -X POST "https://api.apify.com/v2/acts/automationnation~app-store-review-miner/run-sync-get-dataset-items?token=$APIFY_TOKEN" \  -H "Content-Type: application/json" \  -d '{"appNames": ["Duolingo"]}'

Python — see examples/python_example.py

python
# pip install apify-clientfrom apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("automationnation/app-store-review-miner").call(run_input={  "appNames": [    "Duolingo"  ]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():    print(item.get("appName"), item.get("platform"), item.get("avgRating"), item.get("topBugsList"))

JavaScript — see examples/node_example.mjs

js
// npm install apify-clientimport { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('automationnation/app-store-review-miner').call({  "appNames": [    "Duolingo"  ]});const { items } = await client.dataset(run.defaultDatasetId).listItems();for (const item of items) console.log(item.appName, item.platform, item.avgRating, item.topBugsList);

Use it with AI agents (MCP)

Hosted MCP server URL (Claude, ChatGPT, Cursor and other clients with remote MCP support):

https://mcp.apify.com?tools=automationnation/app-store-review-miner

Local config for Claude Desktop / Cursor — mcp/claude_desktop_config.json:

json
{  "mcpServers": {    "app-store-review-miner": {      "command": "npx",      "args": [        "-y",        "@apify/actors-mcp-server",        "--tools",        "automationnation/app-store-review-miner"      ],      "env": {        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"      }    }  }}

FAQ

How do I scrape App Store and Google Play reviews? Give App Store & Google Play Reviews Scraper + AI on Apify app names, store links or IDs. It collects the newest reviews from both stores (up to 500 per app per store) and returns them with an AI summary of bugs, feature requests and critical issues.

How can I analyse app reviews with AI? App Store & Google Play Reviews Scraper + AI runs one AI analysis per app over the newest reviews and returns structured lists of bugs, feature requests and critical issues, plus ratings per app version to spot bad releases.

More from AutomationNation

This repository holds usage examples. The scraper itself runs on the Apify platform; you need a free Apify account and API token. Examples are MIT licensed.

来源：README.md，提交 11da4bc

工具

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版本历史

1
  1. v1.0.0最新Oct 3, 2026