# App Review Insights — Google Play & App Store (`moganes/app-review-insights`) Actor

Reads an app's Google Play and/or App Store reviews and produces a product-intelligence report: what's praised, what drives bad ratings, and what to fix first.

- **URL**: https://apify.com/moganes/app-review-insights.md
- **Developed by:** [Marat Oganesyan](https://apify.com/moganes) (community)
- **Categories:** Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 Review Insights — Google Play & App Store

**Turn your app's reviews into a product-intelligence report in about a minute.** Point it at a Google Play package id and/or an App Store app id — get back what users praise, what drives bad ratings, and what to fix first.

No API keys. No setup. Live data, every run.

### What you get

Every run produces three outputs:

1. **`report.md`** — a shareable report: rating stats, sentiment split, per-store breakdown, praised themes, complaint drivers, and verbatim complaint quotes
2. **Structured JSON** (dataset) — the same analysis as machine-readable data for your own dashboards or pipelines
3. **`reviews.json`** — the underlying reviews themselves (store, rating, text, date, author, app version)

#### Sample output

> **App Review Insights — com.example.app**
> **340 reviews analyzed** · average rating **3.1**
> 48% positive · 41% negative
> google-play: 210 reviews, avg 3.3 · app-store: 130 reviews, avg 2.8
>
> **What users praise:** clean interface · fast sync · responsive support
> **What drives bad ratings:** crashes on launch · battery drain · broken notifications

### Why this one

- **Both stores, one report** — most review tools cover a single platform or hand you raw rows; this reads both and gives you the analysis, not just the data
- **Per-store breakdown** — see whether a problem is platform-specific (a bad Android release vs. an iOS-only bug) or universal
- **Honest limits** — Apple's public feed exposes ~500 recent reviews per country (documented, not hidden); Google Play goes much deeper
- **Fail-soft** — one store failing doesn't kill the other's results

### Input

| Field | Description |
| --- | --- |
| **Google Play app** | Package id (`com.whatsapp`) or store URL — optional |
| **App Store app** | Numeric id (`310633997`) or store URL — optional |
| **Max reviews per store** | Default 300 |
| **Country** | 2-letter code, affects both stores |
| **Sort** | Google Play: newest / rating / helpfulness (Apple feed is always most-recent) |
| **Demo mode** | Run on bundled sample data instead of live reviews |

At least one of the two app fields is required.

### Who uses this

- **Product & engineering teams** — triage complaints by store and version, spot regressions right after a release
- **ASO & marketing** — mine review language for store-listing copy and competitor comparisons
- **Competitor research** — see what users hate about the alternatives, on both platforms
- **Support teams** — a fast read on what's actually breaking for users this week

### FAQ

**Where does the data come from?** Google Play's public store and Apple's official public customer-reviews feed.

**Monitoring on a schedule?** Attach to an Apify Schedule (e.g. weekly, after a release) for a rolling read on how a new version is landing.

**Something broken?** Issues tab is monitored daily; fixes usually ship within 24 hours.

### Disclaimer

*This Actor is not affiliated with, endorsed by, or sponsored by Google LLC or Apple Inc. It collects only publicly available app reviews from the Google Play store and Apple's official public customer-reviews feed.*

# Actor input Schema

## `googlePlayAppId` (type: `string`):

Package id (e.g. "com.whatsapp") or a Google Play store URL. Leave empty to skip Google Play.

## `appStoreAppId` (type: `string`):

Numeric Apple app id (e.g. "310633997") or an App Store URL. Leave empty to skip the App Store.

## `maxReviewsPerStore` (type: `integer`):

Apple's public feed caps at ~500 recent reviews per country; Google Play can go much deeper.

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

2-letter country code for both stores (review language/region).

## `sort` (type: `string`):

Google Play review order. Apple's public feed is always most-recent.

## `mock` (type: `boolean`):

Run on bundled sample reviews instead of live data.

## Actor input object example

```json
{
  "googlePlayAppId": "com.whatsapp",
  "appStoreAppId": "310633997",
  "maxReviewsPerStore": 300,
  "country": "us",
  "sort": "newest",
  "mock": false
}
```

# Actor output Schema

## `analysis` (type: `string`):

No description

## `report` (type: `string`):

No description

## `reviews` (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 = {
    "googlePlayAppId": "com.whatsapp",
    "appStoreAppId": "310633997"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moganes/app-review-insights").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 = {
    "googlePlayAppId": "com.whatsapp",
    "appStoreAppId": "310633997",
}

# Run the Actor and wait for it to finish
run = client.actor("moganes/app-review-insights").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 '{
  "googlePlayAppId": "com.whatsapp",
  "appStoreAppId": "310633997"
}' |
apify call moganes/app-review-insights --silent --output-dataset

```

## MCP server setup

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

```

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/TgizeGv8nJd4bQE7d/builds/hf3PuWbt0eqlcDbSH/openapi.json