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

Turn App Store and Google Play reviews into insights: complaint themes, rating by version, weekly trend, feature requests and quotes.

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

## Pricing

from $0.25 / app report

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

## App Review Insights: App Store & Google Play

Turn hundreds of app reviews into a one-page answer to **"what are users complaining about, and is it getting better or worse?"**

Give it any iOS App Store ID or Google Play package name (yours or a competitor's) and get:

- **Complaint themes**: crashes/bugs, login, ads, pricing/subscriptions, performance, UI changes, notifications, sync/data loss, support, privacy. Each comes with counts, its share of reviews, and real example quotes.
- **Rating by app version**: see which release hurt your rating.
- **Weekly rating trend**.
- **Feature requests**: sentences like "please add…", "I wish…", "it would be nice if…", pulled out of the reviews.
- **Top phrases** used by unhappy and by happy users.
- A ready-to-share **Markdown report** per app, plus structured JSON for your own dashboards.

Optionally, it also exports every raw review (rating, title, text, version, date) as JSON.

### Who it's for

- **App developers and product managers**: triage what to fix next, and check whether a release helped.
- **Agencies and consultants**: produce a competitor review audit in minutes.
- **Market researchers**: compare several apps side by side in one run.

### Input

| Field | Example |
|---|---|
| App Store IDs | `284882215` (the number after `id` in the App Store URL) |
| Google Play package names | `com.spotify.music` |
| Country | `us` |
| Max reviews per app | `300` |
| Include raw reviews | `false` |

You can mix both stores and add many apps in a single run.

### Output

- **Dataset**: one insight report row per app.
- **Key-value store**: `REPORT-<store>-<id>` Markdown report per app, `REVIEWS-<store>-<id>` raw reviews as JSON (if enabled), and `OUTPUT` with all reports.

### Example report (excerpt)

Spotify on Google Play, 271 recent English reviews:

| Theme | Negative mentions | Share of reviews | Avg rating when mentioned |
|---|---|---|---|
| pricing_subscription | 22 | 16% | 2.6 |
| ads | 19 | 13% | 2.6 |
| crashes_bugs | 5 | 3% | 2.12 |

| Version | Reviews | Avg rating |
|---|---|---|
| 9.1.92.3058 | 184 | 3.79 |
| 9.1.94.1923 | 5 | 2.4 |

Feature requests found: *"could you please make it work offline?"*, *"bring back the 3x1 widget."*

### Pricing

Pay per event: a small fee per app report, plus a tiny per-review fee only when you export raw reviews. Analyzing one app costs well under a dollar.

### Notes and limits

- It uses Apple's public customer-review feed, which returns up to 500 of the most recent reviews per country. Google Play supports more.
- Theme detection is keyword based and works best on English reviews.
- It only collects publicly posted reviews. Reviewer names are shown exactly as the stores display them.

# Actor input Schema

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

Numeric Apple App Store IDs (the number after 'id' in the app URL, e.g. 284882215).

## `googlePlayIds` (type: `array`):

Android package names (the 'id=' value in the Play Store URL, e.g. com.spotify.music).

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

Two-letter store country code.

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

Two-letter language code for Google Play reviews.

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

Most recent reviews to analyze per app. App Store's public feed returns up to 500 per country.

## `includeRawReviews` (type: `boolean`):

Also output every review as its own dataset row (charged per review). Turn off to get only the insight reports.

## Actor input object example

```json
{
  "appStoreIds": [
    "284882215"
  ],
  "googlePlayIds": [
    "com.spotify.music"
  ],
  "country": "us",
  "language": "en",
  "maxReviewsPerApp": 300,
  "includeRawReviews": false
}
```

# Actor output Schema

## `reports` (type: `string`):

One row per app with complaint themes, rating by version, weekly trend and feature requests.

## `reviews` (type: `string`):

Every review as JSON, one file per app (only when 'Include raw reviews' is enabled).

## `markdownReports` (type: `string`):

Ready-to-share Markdown report per app.

# 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 = {
    "appStoreIds": [
        "284882215"
    ],
    "googlePlayIds": [
        "com.spotify.music"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("dofunbiz/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 = {
    "appStoreIds": ["284882215"],
    "googlePlayIds": ["com.spotify.music"],
}

# Run the Actor and wait for it to finish
run = client.actor("dofunbiz/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 '{
  "appStoreIds": [
    "284882215"
  ],
  "googlePlayIds": [
    "com.spotify.music"
  ]
}' |
apify call dofunbiz/app-review-insights --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dofunbiz/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/iCMGpVN3EBo0R6VSZ/builds/vDa64NnBHMrcuwTZr/openapi.json