# App Store Reviews Scraper (`easyapi/app-store-reviews-scraper`) Actor

App Store Reviews Scraper is a valuable tool for collecting and analyzing user reviews from the App Store. With customizable options and detailed feedback retrieval, it’s perfect for developers and marketers looking to enhance their understanding of app performance and user satisfaction! 📊

- **URL**: https://apify.com/easyapi/app-store-reviews-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Integrations
- **Stats:** 529 total users, 18 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 1.24 out of 5 stars

## Pricing

from $2.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Reviews Scraper

Enhance your app insights with our **App Store Reviews Scraper**! This Apify actor allows you to efficiently collect user reviews from the App Store, providing valuable feedback and ratings to help you analyze app performance and user satisfaction.

#### 🌟 Key Features

- **Customizable Search Options**:
  - **appId**: Specify the app's unique identifier to fetch reviews (required).
  - **country**: Use a two-letter country code to target specific regional reviews (defaults to us).
  - **limit**: Set the limit num for the reviews result.

#### 🛠️ Data Fields Retrieved

Our scraper retrieves a variety of fields for each review, including:

- **id**: Unique identifier for the review.
- **userName**: Name of the user who submitted the review.
- **userUrl**: Link to the user's review profile.
- **version**: The app version the review pertains to.
- **score**: Star rating given by the user (1 to 5 stars).
- **title**: Title of the review.
- **text**: Full text of the user review.
- **url**: Direct link to the specific review on the App Store.
- **updated**: Date the review was last updated.

#### 🚀 Why Choose Our Scraper?

- **Comprehensive Feedback Collection**: Easily gather user reviews to understand user sentiment and areas for improvement.
- **User-Friendly**: Designed to simplify the review retrieval process for developers and marketers alike.
- **Efficient Data Analysis**: Quickly analyze trends and feedback to enhance your app strategies.

#### Input

A full explanation of an input example in JSON.

```
{
  "country": "us",
  "limit": 100,
  "appId": "com.midasplayer.apps.candycrushsaga"
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
  {
    "id": "11709937316",
    "userName": "pppppiuuuuuuuuuuuu",
    "userUrl": "https://itunes.apple.com/us/reviews/id904957940",
    "version": "1.285.0.1",
    "score": 1,
    "title": "Waste of time",
    "text": "I used to LOVE this game, now I find in can’t even finish a level for DAYS if at all. I blow through the 5 lives I have in less than 5 minutes because it’s impossible to complete. I’m not sure what happened to this game, but don’t bother. There are a TON of games out there that you can actually win when playing. This isn’t one of them.",
    "url": "https://itunes.apple.com/us/review?id=553834731&type=Purple%20Software",
    "updated": "2024-09-10T10:05:32-07:00"
  },
  {
    "id": "11709506850",
    "userName": "El caballo de Guatemala",
    "userUrl": "https://itunes.apple.com/us/reviews/id1024816674",
    "version": "1.285.0.1",
    "score": 5,
    "title": "Buenos",
    "text": "Entretenido",
    "url": "https://itunes.apple.com/us/review?id=553834731&type=Purple%20Software",
    "updated": "2024-09-10T07:42:06-07:00"
  },
  ...
]
```

# Actor input Schema

## `id` (type: `string`):

The iTunes 'trackId' of the app, for example 553834731 for Candy Crush Saga. Either this or the appId should be provided.

## `appId` (type: `string`):

The iTunes 'bundleId' of the app, for example com.midasplayer.apps.candycrushsaga for Candy Crush Saga. Either this or the id should be provided.

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

Target country/region for the search

## `limit` (type: `integer`):

Maximum number of results to retrieve

## Actor input object example

```json
{
  "id": "",
  "appId": "com.midasplayer.apps.candycrushsaga",
  "country": "us",
  "limit": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/app-store-reviews-scraper").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/app-store-reviews-scraper").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 '{}' |
apify call easyapi/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

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/PaOMbqd4WCHx33Qwl/builds/qfCktEthkkrXqbzwI/openapi.json