# App Store and Google Play Reviews (`geotectonic_technology/app-reviews`) Actor

Get reviews from the Apple App Store and Google Play in one clean dataset, with the same fields for both stores.

- **URL**: https://apify.com/geotectonic_technology/app-reviews.md
- **Developed by:** [Niels Baardseth](https://apify.com/geotectonic_technology) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 results

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 Store and Google Play Reviews

Get reviews from the Apple App Store and Google Play in one dataset. Both stores return the same fields, so you can compare apps across stores without cleaning the data first.

### How to use it

1. Add App Store IDs, Google Play package names, or both.
2. Choose country, language and the maximum number of reviews per app.
3. Run it and download the dataset as JSON, CSV or Excel.

### Output

| Field | Meaning |
|---|---|
| store | `apple` or `google` |
| appId | App ID |
| country | Country code |
| reviewId | Review ID |
| author | Reviewer name |
| rating | 1 to 5 |
| title | Review title (Apple) |
| text | Review text |
| version | App version |
| date | Review date |
| url | Store page |

### Limits

- Apple's public feed stops at about 500 reviews per app and country.
- Google Play sometimes shows the newest reviews with a delay of days or weeks for very large apps.
- An app with no reviews in the chosen country returns no rows.

# Actor input Schema

## `appleAppIds` (type: `array`):

Numeric IDs from the App Store URL, for example 389801252.

## `googleAppIds` (type: `array`):

Package names from the Google Play URL, for example com.instagram.android.

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

Two-letter country code.

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

Two-letter language code.

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

Apple's public feed stops at about 500 reviews per app and country.

## Actor input object example

```json
{
  "appleAppIds": [
    "389801252"
  ],
  "googleAppIds": [
    "com.instagram.android"
  ],
  "country": "us",
  "language": "en",
  "maxReviewsPerApp": 200
}
```

# Actor output Schema

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

All reviews from the run

# 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 = {
    "appleAppIds": [
        "389801252"
    ],
    "googleAppIds": [
        "com.instagram.android"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("geotectonic_technology/app-reviews").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 = {
    "appleAppIds": ["389801252"],
    "googleAppIds": ["com.instagram.android"],
}

# Run the Actor and wait for it to finish
run = client.actor("geotectonic_technology/app-reviews").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 '{
  "appleAppIds": [
    "389801252"
  ],
  "googleAppIds": [
    "com.instagram.android"
  ]
}' |
apify call geotectonic_technology/app-reviews --silent --output-dataset

```

## MCP server setup

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

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/QgeaTmv5AAEXN7yJ2/builds/DkcfxJDoXdmcqglOS/openapi.json