# App Store + Google Play Reviews Scraper (`lomo-dev/app-reviews-unified`) Actor

Scrape user reviews from Apple App Store and Google Play in one run: rating, title, text, date, author and app version. Use app URLs, App Store IDs or package names; set country, language and sort order.

- **URL**: https://apify.com/lomo-dev/app-reviews-unified.md
- **Developed by:** [Lomo Dev](https://apify.com/lomo-dev) (community)
- **Categories:** Marketing, Business, Automation
- **Security:** Limited permissions
- **Stats:** 1 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 + Google Play Reviews Scraper

**Scrape user reviews from both Apple App Store and Google Play** in a single Actor.

Get rating, title, review text, date, author and app version. Ideal for app monitoring, sentiment analysis, competitor research and ASO (App Store Optimization).

[![Actor](https://apify.com/actor-badge?actor=lomo-dev/app-reviews-unified)](https://console.apify.com/actors/kCWpxMwU4sVja05Vd)

***

### 🚀 What you get

- Unified reviews from **App Store** and **Google Play**
- Rating, title, review text, date, author
- App version the review was written for
- Country and language targeting
- Sort by newest or most helpful

***

### 📥 Input

| Field | Default | Description |
|-------|---------|-------------|
| `apps` | required | App Store URLs / IDs or Google Play URLs / package names |
| `maxReviews` | 100 | Max reviews per app (App Store ~500 cap per country) |
| `country` | `us` | 2-letter country code |
| `lang` | `en` | Language (Google Play) |
| `sort` | `newest` | newest / helpful |

#### Example input

```json
{
  "apps": [
    "https://apps.apple.com/us/app/facebook/id284882215",
    "com.facebook.katana"
  ],
  "maxReviews": 10,
  "country": "us",
  "lang": "en",
  "sort": "newest"
}
```

***

### 📤 Output

One dataset item per review with these fields:

- `store` (`appstore` / `googleplay`)
- `appId` (App Store ID or Google Play package name)
- `reviewId`
- `rating` (1–5), `title`, `text`
- `author`, `date` (ISO 8601)
- `version` (app version, when the store provides it)
- `country`, `lang` (`lang` is null for App Store reviews)
- `url` (link to the review or the app's reviews page)

Helpful-vote counts are not included; `sort: helpful` only changes the order reviews are fetched in.

***

### Example output

Sample rows from a real owner run (public scrape data):

```json
[
  {
    "store": "appstore",
    "appId": "284882215",
    "reviewId": "14753249408",
    "rating": 1,
    "title": "Fed up",
    "text": "Facebook tries to control what we do think or say. It will suggest people we know then say we can\u2019t friend request because it thinks we don\u2019t know them. You have no idea who we know and don\u2019t know. Then you try to limit how many times we post or how many people we can friend requests. You allow what you want to allow on facebook. Then you try to control our messenger messages. It doesn\u2019t violate community standards because it\u2019s private messages between two people. You have no business dictating that. You have no businesses even seeing what is said or sent to friends in my messages. Then you go through and delete old messages on your own.",
    "author": "qwasrtvdtjb",
    "date": "2026-11-05T10:11:29.000Z",
    "version": "586.0.0",
    "country": "us",
    "lang": null,
    "url": "https://apps.apple.com/us/app/id284882215?see-all=reviews"
  },
  {
    "store": "appstore",
    "appId": "284882215",
    "reviewId": "14753178268",
    "rating": 5,
    "title": "Dependable",
    "text": "Very professional and responsive on last minute junk removal",
    "author": "BentzSense",
    "date": "2026-11-05T09:45:04.000Z",
    "version": "586.0.0",
    "country": "us",
    "lang": null,
    "url": "https://apps.apple.com/us/app/id284882215?see-all=reviews"
  }
]
```

### 💰 Pricing (Pay-per-event)

| Event | Price |
|-------|-------|
| Actor start | **$0.0001** per start, charged once per GB of run memory |
| Dataset result | **$0.0001** per review written |

**Memory:** the default is **512 MB**, which bills a single start event. This Actor is a lightweight HTTP client, so more memory only adds start events without speeding it up.

Example: 20 reviews at default memory ≈ $0.0001 + 20 × $0.0001 ≈ **$0.0021**.

***

### ⚙️ Memory limits

- Min: **256 MB**
- Max: **1024 MB**

***

### Notes

- App Store public feed is limited (~500 reviews per country).
- Respect Apple and Google terms of service.

# Actor input Schema

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

App Store URLs (apps.apple.com/.../id123) or numeric IDs, Google Play URLs (play.google.com/store/apps/details?id=pkg) or package names (com.example.app).

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

App Store feed caps at ~500 per country.

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

2-letter country code.

## `lang` (type: `string`):

Language code (Google Play).

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

newest = most recent; helpful = most helpful/relevant.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/facebook/id284882215",
    "com.facebook.katana"
  ],
  "maxReviews": 100,
  "country": "us",
  "lang": "en",
  "sort": "newest"
}
```

# Actor output Schema

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

All scraped reviews stored in the default dataset

# 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/facebook/id284882215",
        "com.facebook.katana"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lomo-dev/app-reviews-unified").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/facebook/id284882215",
        "com.facebook.katana",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("lomo-dev/app-reviews-unified").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/facebook/id284882215",
    "com.facebook.katana"
  ]
}' |
apify call lomo-dev/app-reviews-unified --silent --output-dataset

```

## MCP server setup

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

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/kCWpxMwU4sVja05Vd/builds/0wSYMB3QxLJRvA46V/openapi.json