# Apple App Store Review Intelligence (`muhammadafzal/apple-app-store-review-intelligence`) Actor

Analyze public Apple App Store reviews into normalized records, rating trends, sentiment signals, themes, and representative feedback for product research.

- **URL**: https://apify.com/muhammadafzal/apple-app-store-review-intelligence.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.02 / review intelligence report

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

## Apple App Store Review Intelligence

Analyze public Apple App Store customer reviews for one app and receive normalized review records plus an aggregate intelligence report.

### What it returns

The default dataset contains one record per public review with the app ID, storefront, rating, title, text, author display name, app version, timestamps, and Apple review URL. The `OUTPUT` and `SUMMARY` key-value records contain:

- rating distribution and average collected rating;
- lightweight positive/neutral/negative sentiment signals;
- ranked themes such as performance, login, pricing, notifications, usability, and features;
- representative positive and negative review excerpts;
- app metadata returned by Apple's lookup endpoint.

Example input:

```json
{"appIdOrUrl":"310633997","country":"us","sortBy":"mostrecent","maxReviews":50}
```

Use `appIdOrUrl` for a precise match. `appName` can be used for an Apple search when the numeric ID is unknown. `country` is a two-letter storefront code such as `us`, `gb`, or `ca`.

### Pricing

| Event | Price | Value |
|---|---:|---|
| Actor start | $0.00005 | One run start |
| Review intelligence report | $0.02 | One delivered aggregate report |

Review rows are delivered in the dataset and are not charged as separate report events. Actual platform billing is governed by the live private Actor configuration.

### Reliability and limitations

The Actor uses Apple's publicly accessible App Store review page and a bounded RSS fallback. It does not log in, bypass a challenge, or fabricate reviews. Apple exposes a bounded public feed, so the result may contain fewer reviews than requested. If the storefront has no public reviews, the Actor returns an empty report with zero dataset records. Sentiment and themes are transparent lexical signals rather than human- or model-validated classifications.

Review text and public author display names may be personal data. Use the output only for a lawful product-research purpose, respect Apple's terms and applicable privacy rules, and avoid republishing review text without the necessary rights.

# Actor input Schema

## `appIdOrUrl` (type: `string`):

Use a numeric Apple App Store ID or an App Store URL when you know the exact app. Example: 310633997 or https://apps.apple.com/us/app/whatsapp-messenger/id310633997.

## `appName` (type: `string`):

Use an exact or distinctive app name when an App Store ID is unavailable. Example: WhatsApp Messenger. App ID takes precedence when both are provided.

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

Two-letter Apple storefront code used for lookup and reviews. Example: us. Defaults to us.

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

Choose mostrecent for current feedback or mosthelpful for reviews ranked by Apple. Defaults to mostrecent.

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

Maximum public reviews to collect and analyze. Use 1–500; defaults to 50. The Apple RSS feed is bounded and may return fewer reviews.

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

Maximum legacy Apple RSS fallback pages to request when the App Store review page has no embedded reviews. Use 1–10; defaults to 1.

## `includeReviewText` (type: `boolean`):

Keep review title and body in dataset records and excerpts, or set false to omit bodies from the dataset. Defaults to true.

## Actor input object example

```json
{
  "appIdOrUrl": "310633997",
  "appName": "WhatsApp Messenger",
  "country": "us",
  "sortBy": "mostrecent",
  "maxReviews": 50,
  "maxPages": 1,
  "includeReviewText": true
}
```

# Actor output Schema

## `report` (type: `string`):

Aggregate review intelligence report saved under OUTPUT and SUMMARY.

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

URL for normalized review records 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 = {
    "appName": "WhatsApp Messenger",
    "country": "us",
    "maxReviews": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("muhammadafzal/apple-app-store-review-intelligence").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 = {
    "appName": "WhatsApp Messenger",
    "country": "us",
    "maxReviews": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("muhammadafzal/apple-app-store-review-intelligence").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 '{
  "appName": "WhatsApp Messenger",
  "country": "us",
  "maxReviews": 50
}' |
apify call muhammadafzal/apple-app-store-review-intelligence --silent --output-dataset

```

## MCP server setup

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

```

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/zPsShnu9mrYARFqof/builds/MgbGY5EdRvNiT2I73/openapi.json