Appstore Reviews MCP server

Apple App Store Reviews API: iOS and macOS app reviews as structured JSON

The most efficient, reliable, and developer-friendly way to use the Apple App Store Reviews API.

Actor page: apify.com/johnvc/apple-app-store-reviews-api Input schema: apify.com/johnvc/apple-app-store-reviews-api/input-schema

The Apple App Store Reviews API returns user reviews for any iOS or macOS app as clean, structured JSON: star rating, review title, body text, author, app version, review dates, and helpfulness counts, across 50+ country stores. Target an app by its numeric App Store ID or just by name, sort by most recent, most helpful, most favorable, or most critical, and page through as many or as few reviews as you want. It is built for App Store Optimization (ASO), sentiment analysis, competitor monitoring, churn-signal tracking, and AI agent workflows.

Video Walkthrough

Quick Start

Prerequisites

• Python 3.11 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

git clone https://github.com/johnisanerd/Apify-Apple-App-Store-Reviews-API.git
   cd Apify-Apple-App-Store-Reviews-API

1. Install dependencies with UV

# Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Install project dependencies:
   uv sync

1. Configure your API key

cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3

1. Run the example

uv run python apple-app-store-reviews-api-example.py

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python apple-app-store-reviews-api-example.py

Why Use This Apple App Store Reviews API?

One row per review, ready to analyze. Every result is a flat JSON object with the rating, title, text, author, version, and dates already separated out. No HTML, no parsing, no cleanup.

Target by ID or by name. Pass numeric App Store IDs when you have them, or pass a plain app name and the API resolves it for you. Handy when an agent only knows the app by name.

iOS and macOS. The same call works for iPhone, iPad, and Mac apps. Each row is tagged with its platform so mixed runs stay clear.

Sort the way you need. Most recent for monitoring, most critical for triage, most helpful for the signal that users themselves upvoted, most favorable for testimonials.

Localized. Pull reviews from 50+ country stores to compare sentiment by region or to do localization QA.

Predictable pay-per-event pricing. You pay a small setup fee plus a per-review fee, so a quick spot-check costs cents and you only pay for what you receive.

Features

Core Capabilities

• Reviews for any iOS or macOS app by numeric ID or by app name
• Four sort orders: most recent, most helpful, most favorable, most critical
• 50+ country stores
• Pagination with a per-app review cap, or unlimited
• Optional ISO date normalization and parsed helpfulness counts

Data Quality

• Flat, one-review-per-row JSON with consistent field names
• Each row carries its source app ID, country, platform, and sort order
• Helpfulness prose parsed into integer helpful and total counts
• Locale-formatted dates plus an optional ISO 8601 field

Usage Examples

Basic Example

{
  "product_ids": ["534220544"],
  "max_reviews": 10
}

Shortened. The full README is on GitHub.