# Apple App Store Reviews Scraper & API (`zenomastro/apple-app-store-reviews-pro`) Actor

Extract public Apple App Store reviews in structured form for ASO, sentiment analysis, product research, customer support, and competitor monitoring. Includes ratings, review text, dates, app versions, pagination, and reliable batch processing.

- **URL**: https://apify.com/zenomastro/apple-app-store-reviews-pro.md
- **Developed by:** [Rosario Vitale](https://apify.com/zenomastro) (community)
- **Categories:** Marketing, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.08 / 1,000 app store reviews

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?

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 Pro API

Extract Apple App Store customer reviews across multiple apps and storefronts using Apple's public Lookup and customer-review feeds. No browser, login, Apple developer account, API key, cookies, or proxy required.

### Highlights

- Numeric app IDs, App Store URLs, or bundle IDs
- Multiple apps and multiple country storefronts per run
- Most recent or most helpful order
- Up to about 500 public reviews per app/country
- 1-5 star filtering before billing
- Helpful-score, text, and date filters before billing
- App metadata included on each kept review
- Duplicate review removal
- Retry-safe Apple RSS paging
- Structured uncharged status/error rows
- Stops at the user's maximum charge limit

### Output

Each review includes review ID, author, rating, title, full text, reviewed app version, helpful vote score/count, review timestamp, country, app ID/bundle ID, and optional app metadata such as title, developer, category, current version, aggregate rating/count, icon, price, and App Store URL.

Apple's public review feed does not reliably expose developer replies, so this Actor does not invent or claim them.

### Pricing

**$0.00008 per emitted review — about $0.08 per 1,000 reviews**, plus the small Actor-start charge shown in the Store. Reviews removed by star/text/date/helpfulness filters are free. Diagnostic/status rows are free.

### Limits

Apple's public feed exposes about 500 reviews per app per country. For broader coverage, request multiple storefronts or schedule recurring runs and retain historical results.

### Reliability

The Actor uses HTTP-only Apple endpoints with bounded timeouts and retries. Empty/end-of-feed pages stop cleanly. External services can change without notice, so failures are surfaced as structured rows rather than silent empty runs.

### Responsible use

Only public App Store review data is read. Use reviewer display names and review text in accordance with applicable privacy, copyright, and data-protection rules.

# Actor input Schema

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

Numeric App Store IDs, apps.apple.com URLs, or bundle IDs. Maximum 100 apps.

## `countries` (type: `array`):

Two-letter storefront codes such as us, gb, it, de, fr, jp. Maximum 20 per run.

## `sortBy` (type: `string`):

Apple review feed sort order.

## `maxReviewsPerAppCountry` (type: `integer`):

Maximum reviews kept for each app x storefront. Apple's public feed exposes at most about 500.

## `maxTotalReviews` (type: `integer`):

Hard spend/runtime cap across the whole run.

## `minRating` (type: `integer`):

Keep reviews with at least this many stars. Filtering happens before billing.

## `maxRating` (type: `integer`):

Keep reviews with no more than this many stars. Filtering happens before billing.

## `minHelpfulVotes` (type: `integer`):

Minimum Apple voteSum/helpful score. Set 0 to disable.

## `containsText` (type: `string`):

Optional case-insensitive text filter applied to title + review body before billing.

## `reviewedAfter` (type: `string`):

Optional ISO date/time lower bound, e.g. 2026-01-01.

## `reviewedBefore` (type: `string`):

Optional ISO date/time upper bound, e.g. 2026-12-31.

## `includeAppMetadata` (type: `boolean`):

Attach app title, developer, category, current version, aggregate rating/count, icon and App Store URL to each review.

## `requestTimeoutSecs` (type: `integer`):

Maximum seconds for each Apple Lookup/RSS HTTP request.

## `pageRetries` (type: `integer`):

Retries empty/transient RSS pages with bounded backoff before treating the page as unavailable.

## Actor input object example

```json
{
  "apps": [
    "310633997"
  ],
  "countries": [
    "us"
  ],
  "sortBy": "mostrecent",
  "maxReviewsPerAppCountry": 200,
  "maxTotalReviews": 5000,
  "minRating": 1,
  "maxRating": 5,
  "minHelpfulVotes": 0,
  "containsText": "",
  "reviewedAfter": "",
  "reviewedBefore": "",
  "includeAppMetadata": true,
  "requestTimeoutSecs": 20,
  "pageRetries": 3
}
```

# Actor output Schema

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

No description

# 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("zenomastro/apple-app-store-reviews-pro").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("zenomastro/apple-app-store-reviews-pro").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 zenomastro/apple-app-store-reviews-pro --silent --output-dataset

```

## MCP server setup

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

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/MUZ0pAjfNecwgpaCk/builds/hZCkRJEYgEvqEuSh2/openapi.json