App Reviews Scraper + AI Insights — App Store & Google Play in One Run 📱🤖

Scrape Apple App Store reviews and Google Play reviews together, and get every review automatically classified by AI — sentiment, theme, severity, churn risk — plus an executive insight report with top complaints, top feature requests, emerging issues, and concrete recommendations for every app you analyze.

Stop exporting raw CSVs and reading thousands of reviews by hand. Paste an app link (or just the app name), click Start, and get an analysis that would normally take a product team days — in minutes.

What does App Review Intelligence do?

• ⭐ Scrapes app reviews from both stores — Apple App Store (iOS) and Google Play (Android) — in a single run, normalized into one consistent format
• 🌍 Multi-country support — collect reviews from the US, UK, Germany, Italy, France, Spain, Brazil, India, Japan, and dozens of other storefronts
• 🤖 AI review classification — every review is enriched with sentiment (positive / neutral / negative / mixed), category (bug, feature request, UX, performance, pricing, ads, account access, support, content, praise), up to 3 concrete topics, a problem severity, and a churnSignal flag for users threatening to leave
• 📊 Per-app insight report — average rating, rating distribution, sentiment breakdown, top topics, 12-month rating trend, developer response rate, churn signals, and a 0–100 App Health Score
• 🧠 AI executive summary — strengths, top complaints, top feature requests, emerging issues, and prioritized recommendations, written like a senior product analyst would
• ⚔️ Competitor comparison — add two or more apps and get an automatic side-by-side ranking with key differentiators and opportunities
• 🔎 Zero setup — no API keys, no login, no cookies. Works with URLs, app IDs, package names, or just app names ("Duolingo")

Who is this for?

• Product managers mining feature requests, bug reports, and churn reasons from real user feedback
• App developers & indie hackers monitoring releases — see instantly if a new version triggers a wave of complaints
• ASO specialists & mobile marketing agencies running review audits and reputation reports for clients
• Founders & investors validating a market — analyze competitor apps' weaknesses before building
• UX researchers & data scientists who need clean, labeled voice-of-customer datasets
• Customer support teams spotting emerging issues before they hit ticket queues
• AI agents & LLM pipelines that need structured, pre-classified review data (works great via API, MCP, Make, Zapier, n8n)

Use cases

1. Competitor app analysis

Add your app and 2–3 competitors. Get a side-by-side comparison of health scores, sentiment, top complaints, and the exact features users beg competitors for — your roadmap shortcut.

2. Find bugs & technical issues fast

Set Analysis focus to Find bugs & technical issues. Crashes, login failures, payment errors, and performance problems are extracted, tagged, and ranked by severity.

3. Discover feature requests & product ideas

Set the focus to Feature requests. The report distills hundreds of "I wish this app could…" reviews into a clean, prioritized list of product opportunities.

4. Understand churn & cancellations

The churn focus highlights why users uninstall, cancel subscriptions, or switch to alternatives — with churn-risk flags on individual reviews so you can quantify it.

5. Release monitoring & reputation management

Run it on a schedule after each release (newest reviews first) and watch the monthly trend, sentiment breakdown, and emerging issues. Pipe results to Slack, Sheets, or your BI tool.

6. Market research & app due diligence

Evaluating a niche or an acquisition target? Analyze the leading apps in the category and instantly see what users love, hate, and still miss.

Input

Designed for non-technical users — just three things really matter:

Field	Description
Apps to analyze	App Store / Google Play URLs, Apple app IDs, Android package names, or plain app names (matched on both stores automatically)
Max reviews per app	10–5,000 reviews per app (default 250)
Countries	Storefront country codes, e.g. us, gb, de, it (default us)
Language	Preferred review language (default en)
Sort reviews by	Newest first or most helpful first
AI insights	Toggle AI classification and reports on/off
Analysis focus	Balanced, bugs, feature requests, churn, or competitor research

Example input:

{
    "apps": ["Duolingo", "https://play.google.com/store/apps/details?id=com.babbel.mobile.android.en"],
    "maxReviewsPerApp": 500,
    "countries": ["us", "gb"],
    "analysisGoal": "competitor"
}

Output

You get three kinds of records in the dataset (filter by the type field), exportable as JSON, CSV, Excel, or via API.

Enriched review (type: "review")

{
    "type": "review",
    "appName": "Duolingo - Language Lessons",
    "platform": "ios",
    "country": "us",
    "rating": 2,
    "title": "New update ruined it",
    "text": "Ever since the last update the app crashes every time I open a lesson...",
    "date": "2026-06-02T09:14:33.000Z",
    "appVersion": "7.92.1",
    "helpfulCount": 41,
    "developerReply": null,
    "sentiment": "negative",
    "category": "bug",
    "topics": ["crashes on startup", "lesson loading"],
    "severity": "high",
    "churnSignal": true
}

App insight report (type: "app_insights")

Average rating, rating distribution, sentiment & category breakdowns, top topics with counts, 12-month trend, developer response rate, churn signals, App Health Score (0–100), store metadata (developer, category, installs, store rating), and the AI report:

{
    "aiReport": {
        "summary": "Users love the gamified learning experience, but the latest release introduced...",
        "strengths": ["Engaging streak and gamification system", "..."],
        "topComplaints": ["Crashes when opening lessons after the latest update", "..."],
        "topFeatureRequests": ["Offline mode for lessons", "..."],
        "emergingIssues": ["Spike in login failures starting May 2026", "..."],
        "recommendations": ["Hotfix the lesson-opening crash affecting iOS users", "..."]
    }
}

Cross-app comparison (type: "comparison")

A ranked comparison of all analyzed apps with reasons, key differentiators, and opportunities. A consolidated JSON report (INSIGHTS) is also saved to the run's key-value store — perfect for feeding dashboards or LLM workflows with a single request.

Why teams choose this Actor

• Two stores, one dataset — no more stitching together separate iOS and Android scrapers
• Insights, not just rows — AI does the reading, tagging, and summarizing for you
• Fast and affordable — built for scale, priced for everyday use
• No authentication required — no store accounts, tokens, or developer access needed
• Automation-ready — REST API, webhooks, scheduled runs, and native integrations with Make, Zapier, n8n, Google Sheets, Slack, and the Apify MCP server for AI agents

FAQ

Do I need an Apple or Google account? No. The Actor needs zero credentials from you.

Can I analyze any app? Yes — any publicly listed app on the Apple App Store or Google Play, in any supported country storefront.

How many reviews can I get? Up to 5,000 per app per run. Apple storefronts expose the most recent reviews per country, so adding more countries increases iOS coverage.

What languages are supported? Reviews are collected in any language; AI topic tags are normalized to English so cross-country data stays consistent and filterable.

Can I use it without AI? Yes — switch off AI insights to get clean, normalized raw reviews from both stores.

Is this legal? The Actor only collects publicly available review data that anyone can see in the app stores. No personal accounts are accessed.

Can I run it on a schedule? Yes — use Apify Schedules to monitor your app (or competitors) daily or weekly, and connect webhooks to get alerts.

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