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.
Verification
Output fields
Authoritative field set from the dataset schema.
| Field | Type |
|---|---|
app | string|null |
app_name | string|null |
apple_id | string|null |
gplay_package | string|null |
sources | array|null |
overall_rating | number|null |
review_count_analyzed | integer|null |
teardown | object|null |
comparison | object|null |
first_seen | boolean|null |
rating_delta | number|null |
new_reviews | number|null |
sentiment_delta | number|null |
emerging_complaints | array|null |
resolved_complaints | array|null |
source_url | string|null |
scraped_at | string|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
| Field | Type | Req | Default | Description |
|---|---|---|---|---|
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":false} | Optional. The app-store endpoints are reachable directly; a proxy is rarely 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.