App Review Intelligence

App Review Intelligence is an app store review analyzer that turns recent Apple App Store reviews into actionable app review insights, including rating trends, version impact, AI-mined themes, and competitor comparisons.

What it does

Enter an app name, App Store URL, or numeric ID. The actor pulls recent reviews from Apple's free feed, calculates deterministic rating metrics, and optionally uses AI to group review language into concrete complaints, praises, feature requests, and bugs.

Use the report to answer questions such as:

• Is the app's recent rating improving or declining compared with its lifetime rating?
• Which released version had the worst rating impact?
• What do users repeatedly love, hate, or ask for?
• How does the app compare with a competitor?

Who it's for

• Mobile app product and engineering teams
• Product managers and user research teams
• App Store Optimization agencies
• Indie developers and app founders
• Competitive intelligence and market research teams

What you get

Each run produces:

• An app summary with the app identity, lifetime rating, recent rating, and rating velocity trend
• The worst-performing app version based on review ratings
• Mined complaints, praises, feature requests, and bugs, each with a count and example quote
• One row per analyzed review for filtering or downstream analysis
• One row per identified theme for prioritization and reporting
• A head-to-head comparison when a competitor app is supplied

How the AI theme mining works

1. Pull recent reviews. The actor retrieves recent reviews from Apple's free review feed for the selected country.
2. Calculate rating evidence. Deterministic analysis produces the rating distribution, month-over-month rating velocity, and rating impact by app version.
3. Cluster specific review themes. AI groups recurring language into complaints, praises, feature requests, and bugs, then returns a count and representative quote for each theme. Themes stay specific, such as “too many ads between songs,” rather than broad labels such as “advertising.”
4. Connect feedback to decisions. The report combines theme counts with version impact and, when requested, a competitor head-to-head so teams can see what changed and where the competitor gap is largest.

For example, verified Spotify themes included “too many ads between songs,” “downloaded music won't play offline,” and “add Apple payment support.”

Inputs

Field	What it does	Default
app	Required. App name, Apple App Store URL, or numeric App Store ID to analyze.	Required
maxReviews	Maximum number of recent reviews to pull and analyze, from 20 to 500.	200
mineThemes	Uses AI to cluster reviews into complaints, praises, feature requests, and bugs.	true
country	Two-letter App Store country code used to select the regional review feed.	us
store	Review source. The current supported value is the Apple App Store.	apple
competitorApp	Optional app name, App Store URL, or ID for a head-to-head comparison.	Empty

Pricing

App Review Intelligence uses pay-per-event pricing. There is no monthly subscription.

Event	Price	When it is charged
Actor start	$0.00005	Once when a run starts
review-analyzed	$0.001 per review	For each review analyzed. This is the primary usage event.
app-report	$0.25 per app	Once per app, only when the AI themes (complaints, praises, bugs, feature requests) are delivered. Runs with Mine themes off never pay it.

A typical one-app run costs under 50 cents. For example, analyze 1 app with 200 reviews ≈ $0.20 + $0.25 = ~$0.45, plus the negligible actor-start event. Need only the reviews and rating metrics? Turn Mine themes off and 200 reviews cost about $0.20. Because the review data source is free, you pay for the analysis you use rather than a recurring AppFollow or Appbot subscription.

Example

Input:

{"app":"Notion","maxReviews":200}

Illustrative review output row:

{
  "type": "review",
  "app": "Notion",
  "rating": 2,
  "version": "4.19.0",
  "title": "Search is slower after the update",
  "date": "2026-07-12",
  "author": "sample-user",
  "themeCategory": "complaints",
  "theme": "search became slower after the update"
}

The dataset also includes summary and theme rows with recent versus lifetime rating, rating velocity, worst version, theme counts, example quotes, and competitor findings when requested.

FAQ

Which app stores are supported?

The actor currently analyzes the Apple App Store. Set store to apple.

How many reviews can I analyze?

Choose between 20 and 500 recent reviews per app with maxReviews. The default is 200.

Is the review data official and legal to use?

Reviews are pulled from Apple's free public review feed. You are responsible for using the resulting data in accordance with Apple's terms and the laws that apply to your use case.

How are themes generated?

When mineThemes is enabled and AI access is configured, the actor clusters recurring review language into complaints, praises, feature requests, and bugs. Each theme includes a count and an example quote. If AI access is unavailable, deterministic rating metrics still run and theme mining is skipped.

Can I compare two apps?

Yes. Provide competitorApp as an app name, App Store URL, or ID to request a head-to-head view of rating trends, version impact, and theme gaps.

Which countries are available?

Use the country input with a two-letter App Store country code, such as us, gb, ca, or au. Availability depends on the app and reviews present in Apple's regional feed.