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AI

App Review Teardown & Insights (AI)

Turn any app's App Store + Google Play reviews into an AI competitive teardown — strengths, weaknesses, top complaints, feature requests — and track what changes over time.

—insufficient data

Verification

Not yet in the weekly verification report.

Output fields

Authoritative field set from the dataset schema.

FieldType
appstring|null
app_namestring|null
apple_idstring|null
gplay_packagestring|null
sourcesarray|null
overall_ratingnumber|null
review_count_analyzedinteger|null
teardownobject|null
comparisonobject|null
first_seenboolean|null
rating_deltanumber|null
new_reviewsnumber|null
sentiment_deltanumber|null
emerging_complaintsarray|null
resolved_complaintsarray|null
noticestring|null
notice_typestring|null
source_urlstring|null
scraped_atstring|null

Sample row

{
  "app": "Notion",
  "app_name": "Notion: Notes, Tasks, AI",
  "apple_id": "1232780281",
  "sources": [
    "apple"
  ],
  "overall_rating": 4.78,
  "review_count_analyzed": 100,
  "teardown": {
    "summary": "Notion is praised as a powerful, flexible workspace but is dragged down by mobile bugs, a steep learning curve, and an intrusive AI button.",
    "strengths": [
      "Powerful, flexible all-in-one workspace",
      "Great for notes, tasks, and databases"
    ],
    "weaknesses": [
      "Buggy on iOS/iPad with crashes",
      "Steep learning curve on mobile",
      "Intrusive AI chat button"
    ],
    "top_complaints": [
      "app crashes / bugs",
      "confusing mobile navigation",
      "free-tier upload limits"
    ],
    "feature_requests": [
      "offline mode",
      "remove/hide the AI button",
      "better mobile editor"
    ],
    "themes": [
      {
        "theme": "Bugs and crashes",
        "sentiment": "negative",
        "mentions": 6
      },
      {
        "theme": "Power and flexibility",
        "sentiment": "positive",
        "mentions": 5
      }
    ],
    "sentiment_score": 62
  },
  "first_seen": false,
  "rating_delta": -0.03,
  "emerging_complaints": [
    "app crashes / bugs"
  ],
  "resolved_complaints": [],
  "sentiment_delta": -4,
  "source_url": "https://apps.apple.com/us/app/id1232780281"
}

Inputs

FieldTypeReqDefaultDescription
apps array yes ["Notion"] Apps to analyze — an app name (e.g. 'Notion'), an App Store / Google Play URL, an Apple numeric id, or a Google Play package (com.x.y). One competitive teardown per app. Provide several to teardown competitors side by side.
maxReviews integer no 100 Reviews sampled per app (most-recent first) and fed to the AI. Caps cost; more reviews = richer teardown.
country string no "us" Two-letter store country code for reviews (e.g. 'us', 'gb', 'de').
compareApps boolean no true When 2+ apps are given (default on), add a cross-app comparison record — a strengths/weaknesses matrix plus sales battlecards (their weaknesses, where you win, what to watch out for).
yourApp string no — Optional. Name one of the apps as yours, and battlecards are framed as YOUR app vs each competitor. Leave empty for a neutral comparison.
compareToPrevious boolean no true When on (default), diff each app against the previous run and report what changed — rating delta, emerging vs resolved complaints, sentiment delta. Run on a schedule to track competitors over time.
proxyConfiguration object no {"useApifyProxy":true} Apify Proxy, on by default. Apple throttles the review feed per IP, and a shared actor container's own IP is often already spent — it answers 200 with an empty feed rather than an error, so the run looks like an app with no reviews. Datacenter is enough; residential is not needed.

Pricing

Pay per result (ai-insight) — no charge for empty runs.
Example: 20 app teardowns at $0.05/result ≈ $1.00.

FAQ

What does it analyze?

App Store and Google Play reviews for the apps you specify, turned into an AI competitive teardown.

What's in the output?

A summary plus strengths, weaknesses, top complaints, requested features, and themed sentiment — per app.

Can I compare competitors?

Yes — pass several apps and get a side-by-side battlecard of where each wins and what users complain about.

Can AI agents call it?

Yes — it's exposed as an MCP tool, so agents can pull review insight directly into their workflow.

How am I charged?

Per app teardown (an AI-insight event) — you're billed for the analysis produced.

Can it track changes?

Yes — run on a schedule and it reports rating moves and emerging vs. resolved complaints over time.

Guides & use cases