# Mobile App Review Intelligence API (`dobus/mobile-app-review-intelligence-api`) Actor

Collect Apple App Store and Google Play reviews, ratings, app metadata, versions, dates, and sentiment as normalized dataset rows.

- **URL**: https://apify.com/dobus/mobile-app-review-intelligence-api.md
- **Developed by:** [Afonso Fernandes](https://apify.com/dobus) (community)
- **Categories:** AI, Marketing, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 app summary or reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Mobile App Review Intelligence API

Collect Apple App Store and Google Play reviews as clean dataset rows for product teams, support teams, founders, agencies, analysts, and AI agents.

Use it to monitor new reviews, export competitor app feedback, find negative reviews, compare iOS and Android ratings, or feed mobile app review data into dashboards and MCP/agent workflows.

Store: https://apify.com/dobus/mobile-app-review-intelligence-api

### What It Returns

- App summary rows with app name, developer, rating counts, average rating, genre, and store URL.
- Review rows with platform, app ID, country, language, date, rating, review text, app version, public reviewer name, and simple sentiment.
- One normalized schema across Apple App Store and Google Play.
- Default dataset output for API, CSV, JSON, Excel, webhooks, and AI agents.

### Common Use Cases

- Monitor negative reviews for a mobile app.
- Export recent Google Play reviews by country and language.
- Export recent Apple App Store reviews by country.
- Compare iOS and Android review quality for the same product.
- Track competitor app feedback after launches.
- Build app review datasets for support, product, ASO, and market research.

### Input Examples

#### Apple App Store reviews

```json
{
  "appStoreUrls": ["https://apps.apple.com/us/app/instagram/id389801252"],
  "countries": ["us"],
  "maxReviewsPerApp": 100
}
```

#### Google Play reviews

```json
{
  "googlePlayAppIds": ["com.instagram.android"],
  "countries": ["us"],
  "languages": ["en"],
  "maxReviewsPerApp": 100
}
```

#### Negative review monitor

```json
{
  "appStoreIds": ["389801252"],
  "googlePlayAppIds": ["com.instagram.android"],
  "countries": ["us"],
  "languages": ["en"],
  "maxReviewsPerApp": 250,
  "minRating": 1,
  "maxRating": 2
}
```

### Output Fields

The default dataset includes:

- `recordType`
- `platform`
- `appId`
- `country`
- `language`
- `appName`
- `developer`
- `storeUrl`
- `averageRating`
- `ratingCount`
- `reviewCount`
- `reviewId`
- `reviewDate`
- `userName`
- `rating`
- `reviewTitle`
- `reviewText`
- `appVersion`
- `thumbsUpCount`
- `sentiment`

### Pricing

Monetized runs use pay-per-event pricing:

- USD 0.01 per Actor start.
- USD 0.0002 per default dataset item (app summary or review).

Example: 100 collected reviews plus two app summaries cost roughly USD 0.01 + 102 x USD 0.0002 = USD 0.0304, plus Apify platform usage.

### API Examples

#### REST

```http
POST https://api.apify.com/v2/acts/dobus~mobile-app-review-intelligence-api/runs?token=YOUR_APIFY_TOKEN
Content-Type: application/json

{
  "appStoreIds": ["389801252"],
  "googlePlayAppIds": ["com.instagram.android"],
  "countries": ["us"],
  "languages": ["en"],
  "maxReviewsPerApp": 100
}
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("dobus/mobile-app-review-intelligence-api").call(run_input={
    "appStoreIds": ["389801252"],
    "googlePlayAppIds": ["com.instagram.android"],
    "countries": ["us"],
    "languages": ["en"],
    "maxReviewsPerApp": 100,
})

items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items[:3])
```

#### JavaScript

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

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });
const run = await client.actor("dobus/mobile-app-review-intelligence-api").call({
  googlePlayAppIds: ["com.instagram.android"],
  countries: ["us"],
  languages: ["en"],
  maxReviewsPerApp: 100
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 3));
```

#### MCP / AI Agents

```json
{
  "mcpServers": {
    "apify-mobile-app-reviews": {
      "url": "https://mcp.apify.com?tools=dobus/mobile-app-review-intelligence-api",
      "headers": {
        "Authorization": "Bearer YOUR_APIFY_TOKEN"
      }
    }
  }
}
```

### Notes

Apple review collection uses Apple's public customer review RSS feed. Google Play review collection uses public app review data exposed for store pages. Keep request rates conservative and collect only data you are allowed to process.

# Actor input Schema

## `appStoreUrls` (type: `array`):

Apple App Store app URLs to collect reviews from.

## `appStoreIds` (type: `array`):

Numeric Apple App Store IDs, for example 389801252.

## `googlePlayUrls` (type: `array`):

Google Play app URLs to collect reviews from.

## `googlePlayAppIds` (type: `array`):

Android package IDs, for example com.instagram.android.

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

Store country codes to query, such as us, gb, ca, au, de, fr, or pt.

## `languages` (type: `array`):

Google Play language codes to query, such as en, es, de, fr, or pt.

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

Maximum reviews to return per app and country.

## `reviewSort` (type: `string`):

Sort order for review collection. Apple App Store uses most recent reviews.

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

Optional minimum star rating filter.

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

Optional maximum star rating filter.

## `sinceDate` (type: `string`):

Optional ISO date. Reviews older than this date are skipped.

## `includeSummaries` (type: `boolean`):

Add one appSummary row per app, country, and platform before review rows.

## `includeReviewText` (type: `boolean`):

Include review titles and body text in dataset rows.

## `requestsPerSecond` (type: `number`):

Conservative delay between store requests.

## Actor input object example

```json
{
  "appStoreUrls": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "googlePlayUrls": [
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ],
  "countries": [
    "us"
  ],
  "languages": [
    "en"
  ],
  "maxReviewsPerApp": 100,
  "reviewSort": "newest",
  "sinceDate": "2026-01-01",
  "includeSummaries": true,
  "includeReviewText": true,
  "requestsPerSecond": 2
}
```

# Actor output Schema

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

Default dataset containing one app summary item plus one item per collected review.

# 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 = {
    "appStoreUrls": [
        "https://apps.apple.com/us/app/instagram/id389801252"
    ],
    "googlePlayUrls": [
        "https://play.google.com/store/apps/details?id=com.instagram.android"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dobus/mobile-app-review-intelligence-api").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 = {
    "appStoreUrls": ["https://apps.apple.com/us/app/instagram/id389801252"],
    "googlePlayUrls": ["https://play.google.com/store/apps/details?id=com.instagram.android"],
}

# Run the Actor and wait for it to finish
run = client.actor("dobus/mobile-app-review-intelligence-api").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 '{
  "appStoreUrls": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "googlePlayUrls": [
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ]
}' |
apify call dobus/mobile-app-review-intelligence-api --silent --output-dataset

```

## MCP server setup

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

```

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/Kam38CJKedfnew4yz/builds/istsOMXe2RfF4a5sM/openapi.json