# App Store Reviews Scraper – iOS App Review API (`cloudcharlestom/app-store-reviews-scraper`) Actor

Collect real App Store reviews and ratings from any iOS app fast and reliably. Ideal for analysts, product managers, and developers. Supports multiple countries and versions. Great for market research, sentiment analysis, and competitor tracking.

- **URL**: https://apify.com/cloudcharlestom/app-store-reviews-scraper.md
- **Developed by:** [CloudCharles](https://apify.com/cloudcharlestom) (community)
- **Categories:** AI, Automation, Integrations
- **Stats:** 21 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 4.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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

### 一、What's this?

- App Store Reviews Scraper is an important tool for collecting application reviews on the App Store.
- It provides efficient, stable and reliable review data collection capabilities and has a reasonable price.
- It can be used for user and market research.
- And some analyses of competing products, which are very suitable for product managers, data analysts, marketing personnel and developers to use.

### 二、Input & Output Struct

#### 1、Input

- url: The URL of the App Store application to scrape reviews for. For Example: https://apps.apple.com/us/app/chatgpt/id6448311069
- appId: The ID of the App Store application to scrape reviews for. For Example: 6448311069
- country: Country code, For example: us, see: https://en.wikipedia.org/wiki/ISO\_3166-1\_alpha-2
- limit: The maximum number of reviews to scrape. For Example: 100, Note: The App Store has a limit on the number of comments for each region. A maximum of 500 comments can be obtained
- start\_time: Optional UTC start time in `YYYY-MM-DDTHH:MM:SSZ` format. Reviews earlier than this time will not be returned. For example: `2026-07-26T02:47:52Z`
- end\_time: Optional UTC end time in `YYYY-MM-DDTHH:MM:SSZ` format. Reviews later than this time will not be returned. For example: `2026-07-29T02:47:52Z`

Note: The url or appId parameter must be provided. The appId parameter will be preferred

Get the app url:

- Obtain it through the search page of the App Store
- Open [App Store 官网](https://www.apple.com/app-store).
- Search for the target application (such as "ChatGPT").
- Click on the target application in the search results.
- Copy the URL directly from the browser's address bar, and it will be the link to the application page.

#### 2、Output Struct

```json
{
    "id": "13288066270",
    "user_uri": "https://itunes.apple.com/us/reviews/id199760004",
    "user_name": "Example",
    "user_label": "",
    "title": "Trash",
    "content": "Example...",
    "rating": "1",
    "version": "1.2025.281",
    "date": "2025-10-19T12:24:01-07:00",
    "link": "https://itunes.apple.com/us/review?id=6448311069&type=Purple%20Software",
    "country": "us"
}
```

### 三、How to use the crawled data?

- Market Intelligence: Analyze user feedback from competing applications to understand the functions that users like or are dissatisfied with.
- User Persona Insight: Dig out users' age groups, occupations, usage scenarios and pain points from comments.
- Product Improvement: Identify high-frequency bugs or experience pain points from negative comments to guide product iterations.
- Reputation Monitoring: Continuously track changes in ratings and trends in user word-of-mouth.
- Marketing Copy Insight: Extract user language to optimize advertising copy and ASO (App Store Optimization) keywords.

### 四、Application integration and expansion

This is due to the integration capabilities provided by the Apify platform. You can integrate the obtained data with other applications, including the following:

- [Instagram](https://docs.apify.com/platform/integrations/make/instagram)
- [TikTok](https://docs.apify.com/platform/integrations/make/tiktok)
- [Facebook](https://docs.apify.com/platform/integrations/make/facebook)
- [Telegram](https://docs.apify.com/platform/integrations/telegram)
- [Slack](https://docs.apify.com/platform/integrations/slack)
- [and more](https://docs.apify.com/platform/integrations)

### 五、Feedback

We will always iterate its functions, including launching new features and fixing known bugs. If you encounter any problems during use, please create an issue in the Issues section in a timely manner, and we will follow up and solve it promptly.

### 六、Q\&A

#### 1、Is data crawling legal?

Our Actor adheres to ethical standards and does not extract any private user data, such as email addresses, gender or location. It will only extract the publicly available data on the platform and will not extract non-public private data. However, you should be aware that your results may contain publicly available user data. Personal data is protected by the General Data Protection Regulation (GDPR) of the European Union and other laws and regulations around the world. Please do not use the data for illegal purposes. If you are unsure whether the usage scenario is legal, please consult your lawyer.

# Actor input Schema

## `url` (type: `string`):

For example: https://apps.apple.com/us/app/chatgpt/id6448311069

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

For example: 6448311069

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

Country code, For example: us, see: https://en.wikipedia.org/wiki/ISO\_3166-1\_alpha-2

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

The maximum number of reviews to scrape, Note: The App Store has a limit on the number of comments for each region. A maximum of 500 comments can be obtained

## `start_time` (type: `string`):

UTC time. Reviews earlier than this time will not be returned. For example: 2026-07-26T02:47:52Z

## `end_time` (type: `string`):

UTC time. Reviews later than this time will not be returned. For example: 2026-07-29T02:47:52Z

## Actor input object example

```json
{
  "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("cloudcharlestom/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("cloudcharlestom/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 cloudcharlestom/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cloudcharlestom/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/oYMxgxyrR3eN4xAe6/builds/qrwRTvJHJgu4BFo3C/openapi.json