# Mobile App Reviews Scraper (App Store & Google Play) (`lepone31/mobile-app-reviews-intelligence`) Actor

Unified review scraper and sentiment analytics for Apple App Store (iOS) and Google Play Store (Android). 2-in-1 cross-platform intelligence.

- **URL**: https://apify.com/lepone31/mobile-app-reviews-intelligence.md
- **Developed by:** [Cedric poma](https://apify.com/lepone31) (community)
- **Categories:** Business, AI, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 review extracteds

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/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

## 📱 Mobile App Reviews Intelligence (Apple App Store & Google Play)

> **The first 2-in-1 Unified Mobile Review Scraper & Sentiment API.**\
> Extract, analyze, and monitor user reviews, star ratings, and developer replies across both **Apple App Store (iOS)** and **Google Play Store (Android)** in a single standardized format.

***

### ⚡ Why Choose This Actor Over Competitors?

Most scrapers in the Apify Store only cover **one platform at a time** (requiring you to run and pay for two separate actors at $5.00 to $10.00 per 1,000 reviews).

**Mobile App Reviews Intelligence** solves this with a modern, high-speed unified pipeline:

- 🚀 **2-in-1 Cross-Platform**: Scrape iOS and Android reviews simultaneously into one clean, normalized dataset.
- 💰 **60% to 80% Lower Cost**: Priced at **$0.0020 per review ($2.00 per 1,000 reviews)** under Pay-Per-Event.
- 📊 **Automatic Sentiment & Keyword Breakdown**: Outputs an aggregated `appSummary` with star distributions, satisfaction ratios, and top praise/complaint keywords.
- 🛡️ **Zero Anti-Bot Blocks**: Leverages public, high-speed official store endpoints without heavy headless browsers. Runs in milliseconds.

***

### 🎯 Key Use Cases

#### 1. Product Managers & Mobile Engineering

- **Version Release Health**: Track review sentiment immediately following a new app release (filter by `version`).
- **Bug & Crash Detection**: Identify critical bugs before they impact your overall store rating.
- **Competitor Gap Analysis**: Discover what users dislike about your competitors to inform your product roadmap.

#### 2. Marketing & Brand Reputation

- Measure Net Promoter Sentiment across different countries (`us`, `fr`, `gb`, `de`, `es`, `jp`).
- Monitor whether your support team or competitors reply to user reviews (`developerReplyRate`).

#### 3. AI & LLM Training / Sentiment Mining

- Stream real customer feedback directly into your NLP pipelines, RAG systems, or automated Slack alerts.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `apps` | `array` | *Slack (iOS & Android)* | List of App Store URLs, Google Play URLs, bundle IDs (`com.Slack`), iOS IDs (`618783545`), or app names. |
| `maxReviewsPerApp` | `integer` | `50` | Maximum number of user reviews to retrieve per platform (1 to 500). |
| `country` | `string` | `"us"` | Two-letter country store code (e.g. `us`, `fr`, `gb`, `de`, `es`, `jp`). |
| `language` | `string` | `"en"` | Language code for Google Play localization (e.g. `en`, `fr`, `de`). |
| `includeAppSummary` | `boolean` | `true` | Outputs an aggregate sentiment and rating breakdown record for each app. |
| `maxConcurrency` | `integer` | `3` | Number of simultaneous app extractions (1 to 10). |

#### Example Input:

```json
{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545",
    "https://play.google.com/store/apps/details?id=com.Slack",
    "com.spotify.music"
  ],
  "maxReviewsPerApp": 50,
  "country": "us",
  "language": "en",
  "includeAppSummary": true
}
```

***

### 📤 Output Data Format

The Actor pushes two record types into your dataset:

#### 1. App Sentiment Summary (`recordType: "appSummary"`)

```json
{
  "recordType": "appSummary",
  "platform": "ios",
  "appId": "618783545",
  "appName": "Slack",
  "developer": "SLACK TECHNOLOGIES L.L.C.",
  "country": "US",
  "totalReviewsScraped": 50,
  "scrapedAverageRating": 4.14,
  "ratingsDistribution": {
    "1": 4,
    "2": 2,
    "3": 3,
    "4": 11,
    "5": 30
  },
  "positiveShare": 0.82,
  "negativeShare": 0.12,
  "neutralShare": 0.06,
  "developerReplyRate": 0.0,
  "officialStoreRating": 4.14,
  "officialStoreReviewCount": 54874,
  "topComplaintKeywords": [
    { "word": "notifications", "count": 3 },
    { "word": "update", "count": 2 }
  ],
  "topPraiseKeywords": [
    { "word": "communication", "count": 8 },
    { "word": "team", "count": 6 }
  ],
  "scrapedAt": "2026-11-02T14:00:00Z"
}
```

#### 2. Normalized User Review (`recordType: "review"`)

```json
{
  "recordType": "review",
  "platform": "android",
  "appId": "com.Slack",
  "appName": "Slack",
  "reviewId": "bc163e1a-8fd5-4f72-a413-ae79be1f92a1",
  "author": "John D.",
  "rating": 5,
  "title": null,
  "content": "Best communication app for remote engineering teams. The huddles feature is a game changer.",
  "version": "26.10.40.0",
  "country": "US",
  "publishedAt": "2026-11-01T10:30:54Z",
  "thumbsUpCount": 12,
  "developerReply": "Thank you for the kind words, John! Glad you are enjoying Huddles.",
  "developerReplyAt": "2026-11-01T14:15:00Z",
  "url": "https://play.google.com/store/apps/details?id=com.Slack",
  "scrapedAt": "2026-11-02T14:00:00Z"
}
```

***

### 💵 Pay-Per-Event (PPE) Pricing

| Event | Price (USD) | Description |
|---|---|---|
| **Review Extracted (`review`)** | **$0.0020** | Charged per normalized customer review extracted ($2.00 per 1,000 reviews). |
| **App Summary (`appSummary`)** | **FREE** | Sentiment indicators, ratings distribution, and top keywords are included at no extra charge. |

# Actor input Schema

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

List of iOS App Store URLs (e.g. 'https://apps.apple.com/us/app/slack/id618783545'), Google Play URLs (e.g. 'https://play.google.com/store/apps/details?id=com.Slack'), bundle IDs (e.g. 'com.Slack', '618783545'), or app names.

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

Maximum number of user reviews to extract per application and platform (1 to 500).

## `country` (type: `string`):

Two-letter country code for store localization (e.g. 'us', 'fr', 'gb', 'de', 'es'). Default 'us'.

## `language` (type: `string`):

Two-letter language code for Google Play reviews (e.g. 'en', 'fr', 'de'). Default 'en'.

## `includeAppSummary` (type: `boolean`):

Whether to output an aggregated 'appSummary' record containing average score, ratings distribution, and top keywords.

## `maxConcurrency` (type: `integer`):

Number of parallel application extractions.

## `proxyConfiguration` (type: `object`):

Optional proxy settings. Official Apple and Google public APIs usually do not require proxies.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545",
    "https://play.google.com/store/apps/details?id=com.Slack"
  ],
  "maxReviewsPerApp": 50,
  "country": "us",
  "language": "en",
  "includeAppSummary": true,
  "maxConcurrency": 3
}
```

# Actor output Schema

## `overview` (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 = {
    "apps": [
        "https://apps.apple.com/us/app/slack/id618783545",
        "https://play.google.com/store/apps/details?id=com.Slack"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lepone31/mobile-app-reviews-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 = { "apps": [
        "https://apps.apple.com/us/app/slack/id618783545",
        "https://play.google.com/store/apps/details?id=com.Slack",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("lepone31/mobile-app-reviews-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 '{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545",
    "https://play.google.com/store/apps/details?id=com.Slack"
  ]
}' |
apify call lepone31/mobile-app-reviews-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepone31/mobile-app-reviews-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/vECLagbeumgjxIfoG/builds/tJvXdjfPYXQ5Yabxu/openapi.json