App Store & Google Play Reviews AI (via Apify)

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

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

已驗證Streamable HTTP可網頁執行Web Search & ScrapingData & Analytics

概覽

AI 產生的概覽

抓取 App Store 與 Google Play 的應用程式評論，並產生包含錯誤、功能需求和重大問題的 AI 報告。

功能
這個遠端 MCP 伺服器封裝了一個 Apify Actor，可依應用程式名稱、商店連結或 ID 抓取指定應用程式在 App Store 與 Google Play 上的最新評論，並支援同時查詢多個 App Store 國家。每個應用程式在每個商店會回傳一份報告：評分統計、星等分布、各版本評分、主要錯誤、功能需求、重大問題、競品提及，以及每個應用程式每個商店最多 500 筆原始評論。僅新評論模式可用於週期性監控。
適用情境
當你希望助理彙整一個或多個行動應用程式的使用者回饋、透過各版本評分找出有問題的版本，或持續追蹤新的錯誤與功能需求時，適合使用。它面向產品、客服與市場研究任務，而非一般網頁搜尋。
執行需求
使用 mcp.apify.com 上的遠端 MCP 端點，不需要本機執行環境。需要 Apify API 權杖，透過 Authorization 標頭以 Bearer 形式傳送，並需要一個免費的 Apify 帳號。底層 Actor 依每份應用程式報告計費。
安裝前請注意
Authorization 標頭會攜帶你的 Apify API 權杖，這是可計費的憑證，請妥善保密。每次執行費用為每份應用程式報告 0.05 美元（Gold 使用者 0.04 美元），只有成功的 AI 報告會計費，因此重複執行或應用程式清單過多會產生費用。評論資料經 Apify 從 Apple 與 Google 取得並由該 Actor 的 AI 分析處理，應用程式名稱與連結會傳送給第三方。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 App Store & Google Play Reviews AI (via Apify)，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

來源：README.md，提交 11da4bc

工具

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工具後設資料尚未被收錄。

版本歷史

1
  1. v1.0.0最新Oct 3, 2026