App Review Teardown & Insights (AI)

Pain points

• Reading hundreds of app reviews to understand a competitor's strengths and weaknesses takes hours.
• Spotting the top complaints and feature requests across a category means manual slogging.
• Catching when a rival's rating slips or new complaints emerge requires constant re-checking.

What we solve

• Turn any app's App Store + Google Play reviews into an AI teardown: strengths, weaknesses, top complaints, feature requests, themed sentiment.
• Drop in several apps for a side-by-side competitive battlecard.
• Run on a schedule to track what changed — rating moves, emerging vs resolved complaints, sentiment shifts.

Summary

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.

Who it's for

• Product managers prioritizing from user feedback
• GTM and sales teams building competitive battlecards
• Competitive-intelligence and market researchers
• AI agents needing review insight as an MCP tool

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:

Field	Description
app	The app reference you supplied
app_name	Resolved app name
sources	Stores that contributed reviews (apple, gplay)
overall_rating	Store-reported average rating
review_count_analyzed	Reviews fed to the AI
teardown.summary	One-paragraph competitive summary
teardown.strengths / weaknesses	What users love / dislike
teardown.top_complaints	The most common complaints
teardown.feature_requests	Features users ask for
teardown.themes	Recurring themes with sentiment + mention counts
teardown.sentiment_score	Overall sentiment 0–100
emerging_complaints / resolved_complaints	Complaints that appeared / disappeared since last run (monitoring)
rating_delta / sentiment_delta	Changes since the previous run
comparison	When 2+ apps: an extra record with a strengths/weaknesses matrix + sales battlecards (their weaknesses, where you win, watch-outs)
source_url	The 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

Field	Required	Type	Default	Description
apps	yes	array	["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	no	integer	100	Reviews sampled per app (most-recent first) and fed to the AI. Caps cost; more reviews = richer teardown.
country	no	string	"us"	Two-letter store country code for reviews (e.g. 'us', 'gb', 'de').
compareApps	no	boolean	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	no	string	—	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	no	boolean	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	no	object	{"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 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 teardown — PMs and GTM teams see a rival app's strengths, weaknesses, and top complaints.
• Sales battlecards — drop in your app plus competitors and get a side-by-side comparison.
• Product prioritization — surface the most-requested features and biggest complaints from your own reviews.
• Monitoring — run weekly to catch rating drops and emerging complaints on competitor apps.

Why this actor

• An AI teardown, not raw reviews — strengths, weaknesses, complaints, and feature requests.
• Compare multiple apps side-by-side and track how sentiment changes over time.
• Every review is read and themed by an LLM, so you get the reasons behind a rating rather than a star average.

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.

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

Written up on scrapebench.dev — the bench that runs and verifies this actor against the live source every night:

• How-to: How to run App Review Teardown & Insights (AI)
• Use case: AI Teardown of an App's App Store Reviews
• Use case: Compare Two Competitor Apps' Reviews
• Use case: Find the Top Complaints in an App's Reviews

More actors, coverage and nightly verification results: scrapebench.dev

Works with AI assistants (MCP)

Callable as an MCP tool, so Claude, Cursor, VS Code Copilot and other MCP clients can run it directly. Grab the config from the MCP tab on this page — Apify hosts the server and keeps that snippet current, and OAuth signs you in on first connect, so no API token goes in your config file.

Then just ask:

"Give me a teardown of the Notion app's App Store reviews — strengths, complaints and requested features."

One app per run gives the cleanest teardown; pass several to compare them side by side in one call. Runs started this way bill exactly like any other run.