# App Store Review Analyzer (`second_coming/app-store-review-analyzer`) Actor

Analyze iOS and Android app reviews using free public APIs. Aggregate reviews, score sentiment, detect top issues (crash/bug/network/UX), and track trends over time.

- **URL**: https://apify.com/second\_coming/app-store-review-analyzer.md
- **Developed by:** [Richard P](https://apify.com/second_coming) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.02 / scan run

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?

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

## App Store Review Analyzer

Analyze iOS and Android app reviews using free public APIs. Aggregate reviews, score sentiment, detect top issues (crash/bug/network/UX), and track trends over time.

### Features

- appIds
- countries
- maxReviews
- includeTrends

### Input

| Field | Type | Description |
|---|---|---|
| `appIds` | array | List of app identifiers to analyze. Prefix with 'ios:' for App Store apps (numeric ID) or 'android:' |
| `countries` | array | ISO country codes for store regions. For iOS, determines the RSS feed region. For Android, determine |
| `maxReviews` | integer | Maximum number of reviews to fetch per app per country |
| `includeTrends` | boolean | Whether to compute sentiment trends over time and issue frequency trends |

### Output

Results are pushed to the dataset as structured JSON records. Each record contains the extracted data with timestamps.

### Pricing

Pay-per-run: **$0.02 per scan** (one-time charge per run, 20% Apify fee included).

### Usage

Run the actor from the Apify Console or API with the input fields above. See the input schema for defaults and examples.

# Actor input Schema

## `appIds` (type: `array`):

List of app identifiers to analyze. Prefix with 'ios:' for App Store apps (numeric ID) or 'android:' for Google Play package names. Examples: ios:284882215 (Facebook), android:com.facebook.katana

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

ISO country codes for store regions. For iOS, determines the RSS feed region. For Android, determines the Google Play locale. Default: us

## `maxReviews` (type: `integer`):

Maximum number of reviews to fetch per app per country

## `includeTrends` (type: `boolean`):

Whether to compute sentiment trends over time and issue frequency trends

## Actor input object example

```json
{
  "appIds": [
    "ios:284882215"
  ],
  "countries": [
    "us"
  ],
  "maxReviews": 100,
  "includeTrends": true
}
```

# Actor output Schema

## `results` (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 = {
    "appIds": [
        "ios:284882215"
    ],
    "countries": [
        "us"
    ],
    "maxReviews": 100,
    "includeTrends": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("second_coming/app-store-review-analyzer").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 = {
    "appIds": ["ios:284882215"],
    "countries": ["us"],
    "maxReviews": 100,
    "includeTrends": True,
}

# Run the Actor and wait for it to finish
run = client.actor("second_coming/app-store-review-analyzer").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 '{
  "appIds": [
    "ios:284882215"
  ],
  "countries": [
    "us"
  ],
  "maxReviews": 100,
  "includeTrends": true
}' |
apify call second_coming/app-store-review-analyzer --silent --output-dataset

```

## MCP server setup

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

```

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/BznCocAHgp9ZpgpOo/builds/XBJz4ZafQfegaPgDn/openapi.json