Apple App Store ASO, Competitor Metadata & User Complaint Miner (MCP Ready)

Apple App Store Scraper | ASO Keyword Research & 1-Star Review Miner — Mobile App & Gaming intelligence Actor: extracts iOS App Store ratings, version velocity, developer websites, and mines recent user reviews to identify 1-2 star bug/complaint themes.

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🚀 Why Choose This Actor?

1. Ultra-Low Compute Cost (No Headless Browser Overhead): Built on a high-efficiency HTTP & structured-data parsing engine instead of heavy Chromium instances. Runs 10x faster and consumes minimal Apify platform RAM/CPU.
2. Transparent Pay-Per-Event Pricing: You only pay for actual results delivered (app-analyzed), never for wasted idle time.
3. 100% MCP & AI Agent Ready: Designed with strict JSON schemas so Claude Desktop, Cursor, OpenAI Agents, LangChain, n8n, Make.com, Zapier, and Clay can call this Actor autonomously as a tool.
4. Clean, Structured Export: Download results in JSON, CSV, Excel, XML, or RSS directly from the Apify dataset tab or via REST API.

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🎯 Target Industries & High-ROI Use Cases

• Mobile App Studios & Indie Developers
• App Store Optimization (ASO) & UA Agencies
• Mobile SDK & Ad-Tech Sales Teams
• Product Managers Analyzing Competitor Weaknesses

Popular Workflows

• Automated B2B Prospecting & Enrichment: Feed a list of targets from Clay, HubSpot, Salesforce, or Google Sheets and enrich every record automatically.
• Autonomous AI Agent Tooling (MCP): Connect this Actor to Claude or Cursor via the official @apify/actors-mcp-server so your AI assistant can gather real-time live web intelligence on demand.
• Scheduled Monitoring: Schedule recurring runs (daily/weekly) on Apify and push fresh intelligence to Slack, Webhook, Email, or PostgreSQL/Supabase.

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📥 Input Parameters Example

{
  "searchTerms": [
    "habit tracker",
    "invoice maker"
  ],
  "maxAppsPerTerm": 5
}

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📤 Output Dataset Sample

Each extracted record is pushed to the default Apify Dataset in clean JSON format:

{
  "trackName": "Habit Tracker Pro",
  "sellerName": "Productive Labs LLC",
  "averageUserRating": 4.75,
  "userRatingCount": 18420,
  "lowStarComplaintsCount": 6,
  "complaintThemes": [
    "subscription-paywall-pricing",
    "login-sync-account"
  ],
  "sellerUrl": "https://productivelabs.example.com"
}

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🤖 How to Use with AI Agents (Claude / Cursor MCP) & Automation

1. Model Context Protocol (MCP)

Add this Actor to your claude_desktop_config.json or Cursor MCP settings using the Apify MCP Server:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--actors",
        "lucacelli/apple-appstore-aso-competitor-review-intel"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"
      }
    }
  }
}

2. Call via Apify REST API (cURL / n8n / Make / Clay)

curl -X POST "https://api.apify.com/v2/acts/lucacelli~apple-appstore-aso-competitor-review-intel/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["habit tracker","invoice maker"],"maxAppsPerTerm":5}'

3. Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('lucacelli/apple-appstore-aso-competitor-review-intel').call({"searchTerms":["habit tracker","invoice maker"],"maxAppsPerTerm":5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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❓ Frequently Asked Questions (FAQ)

Does this Actor require paid external API keys or residential proxies?

No! It works out of the box with zero external API keys required.

Can I export the data to CSV, Excel, or Google Sheets?

Yes. Every run stores structured records in an Apify Dataset that can be exported with one click to CSV, XLSX (Excel), JSON, or JSONL, or synced directly to Google Sheets via Make/Zapier/n8n.

Keywords & Tags

Apple App Store scraper, iOS review scraper, ASO competitor research, mobile app lead generation, user complaint analysis, SensorTower alternative