# App Store Intelligence - Apps, Ratings, Top Charts & Reviews (`dennydevelops/app-store-intelligence`) Actor

Apple App Store data from Apple's official endpoints: app search, app details and ratings, top charts by country and category, and reviews (no reviewer names). Only-new reviews mode for monitoring.

- **URL**: https://apify.com/dennydevelops/app-store-intelligence.md
- **Developed by:** [Musedenny](https://apify.com/dennydevelops) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event + usage

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Store Intelligence – Apps, Ratings, Top Charts & Reviews

Apple App Store data from **Apple's official endpoints** (iTunes Search/Lookup API and App Store RSS feeds), in four modes:

1. **Search apps** by keyword (with ranking position): ASO research and competitor discovery.
2. **App details** by App Store URL, ID or bundle ID: rating, rating count, current-version rating, price, version, release notes, update date, category, size, languages, content rating.
3. **Top charts:** top free, paid, grossing (iPhone and iPad) by **country** and **category**, enriched with full app details.
4. **Reviews:** star rating, title, text, app version, date, helpful votes, with **no reviewer names**. Filter by stars (e.g. only 1–2 star complaints), and **only-new** mode for review monitoring.

Built for app marketers and ASO specialists, product teams watching competitors, investors and market researchers.

### Input examples

```json
{"mode": "search", "searchTerms": ["budget", "habit tracker"], "countries": ["us", "gb"]}
```

```json
{"mode": "top-charts", "chart": "top-grossing", "category": "finance", "countries": ["us", "de"]}
```

```json
{"mode": "reviews", "apps": ["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"], "maxRating": 2, "onlyNew": true}
```

### Output (app)

```json
{
  "rank": 2,
  "appId": "1001006017",
  "name": "EveryDollar: Budget Management",
  "bundleId": "…",
  "developer": "The Lampo Group Incorporated",
  "country": "us",
  "price": 0.0,
  "currency": "USD",
  "rating": 4.73,
  "ratingCount": 84199,
  "version": "…",
  "currentVersionDate": "2026-10-20",
  "primaryGenre": "Finance",
  "url": "https://apps.apple.com/us/app/…"
}
```

`developer` is the publisher name shown on the App Store.

### Output (review)

```json
{"appId": "…", "country": "us", "reviewId": "…", "rating": 1, "title": "Not intuitive", "text": "…", "appVersion": "5.2.1", "date": "2026-10-30", "helpfulVotes": 3, "totalVotes": 4}
```

### Pricing (pay per event + usage)

| Event | Price | When |
|---|---|---|
| `apify-actor-start` | $0.001 | Once per run |
| `app` | $0.0008 | One app record |
| `review` | $0.0004 | One review |
| `query` | $0.0003 | Each request to Apple (search, lookup of up to 150 apps, chart, or a page of 50 reviews) |

Example: top 100 finance apps in the US ≈ $0.08. 500 latest reviews of one app ≈ $0.20. Plus Apify platform usage, typically under a cent per run.

### Notes

Apple serves the 500 most recent reviews per app and country, and limits request rates, so the Actor paces itself at one request every ~3 seconds. Google Play has no official public API, so it's not included.

# Actor input Schema

## `mode` (type: `string`):

What to fetch.

## `searchTerms` (type: `array`):

Search mode: keywords, e.g. budget, habit tracker.

## `apps` (type: `array`):

Apps or reviews mode: App Store URLs (https://apps.apple.com/us/app/.../id284882215), numeric IDs or bundle IDs (com.spotify.client).

## `countries` (type: `array`):

Two-letter App Store country codes, e.g. us, gb, de, jp.

## `chart` (type: `string`):

Top-charts mode.

## `category` (type: `string`):

Top-charts mode: empty = all apps.

## `maxResultsPerQuery` (type: `integer`):

Apple returns up to 200.

## `maxReviewsPerApp` (type: `integer`):

Apple serves the 500 most recent reviews.

## `minRating` (type: `integer`):

e.g. 1 with max 2 = only complaints.

## `maxRating` (type: `integer`):

Upper star limit.

## `includeDescription` (type: `boolean`):

Add the store description (up to 4,000 characters).

## `onlyNew` (type: `boolean`):

Turn ON for review monitoring schedules.

## `stateStoreName` (type: `string`):

Named store for only-new reviews.

## Actor input object example

```json
{
  "mode": "search",
  "searchTerms": [
    "budget",
    "habit tracker"
  ],
  "countries": [
    "us"
  ],
  "chart": "top-free",
  "category": "",
  "maxResultsPerQuery": 100,
  "maxReviewsPerApp": 200,
  "includeDescription": false,
  "onlyNew": false,
  "stateStoreName": "app-store-intelligence-state"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerms": [
        "budget",
        "habit tracker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dennydevelops/app-store-intelligence").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchTerms": [
        "budget",
        "habit tracker",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("dennydevelops/app-store-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchTerms": [
    "budget",
    "habit tracker"
  ]
}' |
apify call dennydevelops/app-store-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dennydevelops/app-store-intelligence"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/S8FVcl6uZKBUg2Hrx/builds/hbtSuGr4JJ41iD6Vg/openapi.json