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App Review Teardown & Insights (AI)

Pricing

Pay per usage

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App Review Teardown & Insights (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.

Pricing

Pay per usage

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Developer

ByteMe

ByteMe

Maintained by Community

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0

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2

Total users

1

Monthly active users

4 days ago

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Point it at any app — by name, store URL, or id — and get back an AI competitive teardown of its App Store (and Google Play) reviews: a summary, strengths, weaknesses, top complaints, requested features, and themed sentiment. Drop in several apps to tear down competitors side by side. Run it on a schedule and it also reports what changed since last time — rating moves, emerging vs resolved complaints, sentiment shifts — turning competitor and product monitoring into a set-and-forget task. Also callable as an MCP tool by AI agents.

How to use

Set the input, run the actor, and collect results from the run's dataset (export to JSON/CSV/Excel, or pull via the Apify API). Example input:

{
"apps": [
"Notion",
"Evernote"
],
"yourApp": "Notion",
"maxReviews": 100,
"compareToPrevious": true
}

See Inputs below for every available field.

What you get

One row per record:

FieldDescription
appThe app reference you supplied
app_nameResolved app name
sourcesStores that contributed reviews (apple, gplay)
overall_ratingStore-reported average rating
review_count_analyzedReviews fed to the AI
teardown.summaryOne-paragraph competitive summary
teardown.strengths / weaknessesWhat users love / dislike
teardown.top_complaintsThe most common complaints
teardown.feature_requestsFeatures users ask for
teardown.themesRecurring themes with sentiment + mention counts
teardown.sentiment_scoreOverall sentiment 0–100
emerging_complaints / resolved_complaintsComplaints that appeared / disappeared since last run (monitoring)
rating_delta / sentiment_deltaChanges since the previous run
comparisonWhen 2+ apps: an extra record with a strengths/weaknesses matrix + sales battlecards (their weaknesses, where you win, watch-outs)
source_urlThe app's store page

Sample:

{
"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

FieldRequiredTypeDefaultDescription
appsyesarray["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.
maxReviewsnointeger100Reviews sampled per app (most-recent first) and fed to the AI. Caps cost; more reviews = richer teardown.
countrynostring"us"Two-letter store country code for reviews (e.g. 'us', 'gb', 'de').
compareAppsnobooleantrueWhen 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).
yourAppnostringOptional. Name one of the apps as yours, and battlecards are framed as YOUR app vs each competitor. Leave empty for a neutral comparison.
compareToPreviousnobooleantrueWhen 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.
proxyConfigurationnoobject{"useApifyProxy": false}Optional. The app-store endpoints are reachable directly; a proxy is rarely needed.

Pricing (Pay Per Event)

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

One charge per app teardown produced. Apps we can't find / with no reviews are not charged. Apify platform usage (compute) is billed separately per your plan.

Use cases

  • Competitor app teardowns — see a rival app's strengths, weaknesses, and what its users complain about.
  • Sales battlecards — drop in your app + competitors and get a side-by-side comparison with where you win and what to watch out for.
  • Product prioritization — surface the top complaints and feature requests across your own app's reviews.
  • Monitoring — run weekly to catch emerging complaints, rating drops, and sentiment shifts on competitor apps before they spread.
  • Market research / VoC — themed sentiment across an app category.

Limitations & updates

Analyzes public app-store reviews only (Apple App Store via the official iTunes feed; Google Play best-effort). The AI teardown is generated from the most-recent sampled reviews (capped by maxReviews) and reflects what reviewers wrote — not internal metrics. Apps with no reviews or that can't be resolved are returned empty and not charged.