# Apple App Store Reviews Scraper (`thescrappa/apple-app-store-reviews-scraper`) Actor

Export Apple App Store reviews with star ratings, titles, review text, author names, and dates. Batch app IDs, choose a storefront, and page through customer feedback.

- **URL**: https://apify.com/thescrappa/apple-app-store-reviews-scraper.md
- **Developed by:** [Scrappa](https://apify.com/thescrappa) (community)
- **Categories:** E-commerce, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Apple App Store Reviews Scraper

Collect public Apple App Store reviews with ratings, titles, author names, comments, and posting dates. Search several app IDs in one run and page through the review history.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `id` | String | Stable source identifier for this record. |
| `title` | String | Title displayed by the source for this record. |
| `author` | String | Public display name supplied by the source. |
| `rating` | Integer | Rating value reported by the source. |
| `text` | String | Text value associated with this apple app store reviews record. |
| `date` | String | Date value associated with this apple app store reviews record. |
| `is_edited` | Boolean | Is Edited value associated with this apple app store reviews record. |
| `input_product_id` | String | Apple or Google Play product identifier supplied for this lookup. |
| `scraped_at` | String | UTC date and time when this record was collected. |

### Use cases

- App publishers can monitor recent customer feedback across product versions.
- Product analysts can compare rating distributions and review themes between apps.
- Market researchers can track public sentiment for competing mobile products.

### How to use

1. Add one Apple product ID per entry in `apps`.
2. Choose a storefront country and store type, then set review filters if needed.
3. Set `maxPages` and `maxResults` to bound the review collection.

```json
{
  "apps": [
    {
      "product_id": "1232780281"
    }
  ],
  "country": "us",
  "store": "apps",
  "maxResults": 10,
  "maxPages": 1
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `apps` | Array\<object> | Yes | Apple App Store product IDs to collect public customer reviews for. |
| `apps[].product_id` | string | Yes per entry | Apple product id (numeric adam id) |
| `apps[].id` | string | No | Value accepted by the Apple App Store Reviews Scraper search. |
| `apps[].store` | string | No | Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts Accepted values: apps, mac, books, audiobooks, movies, tv, music, podcasts. |
| `apps[].country` | string | No | Kununu country market code, such as de, at, or ch. |
| `apps[].season_id` | string | No | TV season id; returns the season product instead of the show. |
| `apps[].num` | integer | No | Requested review result count per page |
| `apps[].offset` | integer | No | Number of company matches to skip before returning the next page. |
| `apps[].next_page_cursor` | string | No | Review pagination cursor from a previous response. |
| `id` | string | No | Value accepted by the Apple App Store Reviews Scraper search. |
| `store` | string | No | Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts Accepted values: apps, mac, books, audiobooks, movies, tv, music, podcasts. |
| `country` | string | No | Kununu country market code, such as de, at, or ch. |
| `season_id` | string | No | TV season id; returns the season product instead of the show. |
| `num` | integer | No | Requested review result count per page |
| `offset` | integer | No | Number of company matches to skip before returning the next page. |
| `next_page_cursor` | string | No | Review pagination cursor from a previous response. |
| `maxResults` | integer | No | Maximum dataset items to save across this entire run. |
| `maxPages` | integer | No | Maximum pages to request for each batch entry. |

### Output example

```json
{
  "id": "1846739204",
  "title": "A reliable trail companion",
  "author": "Maya Chen",
  "rating": 5,
  "text": "Clear maps and useful offline guidance made this a dependable part of weekend hikes.",
  "date": "2026-09-24T10:15:00-07:00",
  "is_edited": false,
  "input_product_id": "1232780281",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$0.30 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set **maxPages** per batch entry and **maxResults** across the run.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items and **maxPages** to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~apple-app-store-reviews-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Where do I find an Apple product ID?

Copy the numeric ID from an App Store listing URL, or use Apple App Store Search Scraper to find a product first.

### Related Scrappa Actors

- [Apple App Store App Details Scraper](https://apify.com/thescrappa/apple-app-store-app-details-scraper)
- [Apple App Store Search Scraper](https://apify.com/thescrappa/apple-app-store-search-scraper)
- [Apple App Store Top Charts Scraper](https://apify.com/thescrappa/apple-app-store-charts-scraper)

# Actor input Schema

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

Apple App Store product IDs to collect public customer reviews for.

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

Value accepted by the Apple App Store Reviews Scraper search.

## `store` (type: `string`):

Store vertical: apps, mac, books, audiobooks, movies, tv, music, or podcasts Accepted values: apps, mac, books, audiobooks, movies, tv, music, podcasts.

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

Kununu country market code, such as de, at, or ch.

## `season_id` (type: `string`):

TV season id; returns the season product instead of the show.

## `num` (type: `integer`):

Requested review result count per page

## `offset` (type: `integer`):

Number of company matches to skip before returning the next page.

## `next_page_cursor` (type: `string`):

Review pagination cursor from a previous response.

## `maxResults` (type: `integer`):

Maximum dataset items to save across this entire run.

## `maxPages` (type: `integer`):

Maximum pages to request for each batch entry.

## Actor input object example

```json
{
  "apps": [
    {
      "product_id": "1232780281"
    }
  ],
  "store": "apps",
  "country": "us",
  "maxResults": 10,
  "maxPages": 1
}
```

# Actor output Schema

## `results` (type: `string`):

All results from this run 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": [
        {
            "product_id": "1232780281"
        }
    ],
    "store": "apps",
    "country": "us",
    "maxResults": 10,
    "maxPages": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("thescrappa/apple-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 = {
    "apps": [{ "product_id": "1232780281" }],
    "store": "apps",
    "country": "us",
    "maxResults": 10,
    "maxPages": 1,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/apple-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 '{
  "apps": [
    {
      "product_id": "1232780281"
    }
  ],
  "store": "apps",
  "country": "us",
  "maxResults": 10,
  "maxPages": 1
}' |
apify call thescrappa/apple-app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thescrappa/apple-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/la8nX6KBwy855R8oh/builds/C1r4ibUN3cR0v3s6T/openapi.json