# Apple App Store Reviews Scraper & App Details (Official Feed) (`pankajbhatia/app-store-reviews`) Actor

Get the latest App Store reviews for any iPhone/iPad app, in any country: stars, title, text, app version, date and votes, plus app rating and details. Search apps by keyword. Uses Apple's official public feeds, so it's fast and reliable.

- **URL**: https://apify.com/pankajbhatia/app-store-reviews.md
- **Developed by:** [Pankaj Bhatia](https://apify.com/pankajbhatia) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 & App Details

Get the **latest App Store reviews** for any iPhone or iPad app, in any country, as a clean table: star rating, title, review text, app version, date and helpful votes, plus the app's average rating, rating count, developer and genre.

- **Official data**: uses Apple's public iTunes Search/Lookup API and App Store reviews feed. No login, no browser, nothing to get blocked.
- **Any app, any country**: paste App Store links or IDs, or **search by keyword** to analyze competitors.
- **Filters**: only complaints (1-2 stars), only praise (4-5 stars), newest or most helpful first.
- **Privacy-friendly**: reviewer nicknames are off by default.
- **Pay only for reviews returned**: apps with no reviews come back as a free row.

### Who is it for?

- **App developers and product managers**: track what users complain about after each release (`appVersion`).
- **Competitor research**: compare ratings and pain points across rival apps and countries.
- **ASO and marketing agencies**: monitor client apps and collect testimonials.
- **AI / sentiment analysis**: feed clean review text into an LLM or dashboard.

### How to use it

1. Paste **App Store links** (e.g. `https://apps.apple.com/us/app/instagram/id389801252`) or numeric app IDs, or enter **search terms** to find apps.
2. Pick **countries** (us, gb, ca, de...) and how many reviews you want per app.
3. Optional: set **Maximum stars** to 2 to get only complaints, or **Minimum stars** to 4 to collect testimonials.
4. Click **Start** and export to Excel, CSV or JSON.

### Input example

```json
{
  "apps": ["https://apps.apple.com/us/app/instagram/id389801252"],
  "searchTerms": ["budget tracker"],
  "appsPerSearch": 3,
  "countries": ["us", "gb"],
  "maxReviewsPerApp": 200,
  "maxRating": 2
}
```

### Output example

```json
{
  "reviewId": "14637030892",
  "appId": "389801252",
  "appName": "Instagram",
  "country": "us",
  "rating": 1,
  "title": "Too much information",
  "review": "Now you have my dob pictures and all sorts of info...",
  "appVersion": "450.1.0",
  "date": "2026-10-06T22:51:34-07:00",
  "helpfulVotes": 0,
  "totalVotes": 0,
  "app": { "appName": "Instagram", "developer": "Instagram, Inc.", "averageRating": 4.69, "ratingCount": 29570473, "currentVersion": "450.1.0", "genre": "Photo & Video" }
}
```

An `APPS_SUMMARY` record in the run's key-value store lists every app and country with its average rating, rating count and reviews returned.

### How much does it cost?

Pay-per-event: a small fee **per review returned** plus a tiny per-run start fee. For example, 1,000 reviews cost about $0.50. Set **Maximum cost per run** to cap spending.

### Limits

- Apple's public feed gives the **latest 500 reviews per app per country**. For more history, run it in several countries or schedule it daily or weekly and keep the results.
- Reviews are per App Store country; use `countries` to cover more markets.

### Use it through the API, integrations or AI agents

Run it from the Apify API, on a schedule, or connect it to Make, Zapier, n8n or Google Sheets. AI agents can find and call it through the Apify MCP server. Output is clean JSON with the same fields on every run.

### FAQ

**Is it legal?** It uses Apple's official public feeds. Reviewer nicknames are off by default, so no personal data is collected unless you turn them on.

**Does it work for Mac apps?** Mac App Store apps with reviews in the same feed usually work too.

**Need Google Play reviews?** Open an issue; we read every request and usually reply within 24 hours.

### More tools from this developer

- [SAM.gov Contract Opportunities Finder & Bid Alerts](https://apify.com/pankajbhatia/sam-gov-contract-opportunities): federal contract opportunities and bid alerts
- [Sitemap & URL Extractor](https://apify.com/pankajbhatia/sitemap-url-extractor): get every URL of a website from its sitemaps
- [Website to Markdown for AI & RAG](https://apify.com/pankajbhatia/website-to-markdown): turn web pages into clean Markdown for LLMs
- [Tech Stack Detector](https://apify.com/pankajbhatia/tech-stack-detector): find what any website is built with
- [ATS Jobs Scraper](https://apify.com/pankajbhatia/ats-jobs-scraper): jobs from Greenhouse, Lever, Ashby, Workable and more
- [Website Screenshot](https://apify.com/pankajbhatia/website-screenshot): full-page, mobile and PDF screenshots in bulk
- [PDF to Text & Markdown Extractor](https://apify.com/pankajbhatia/pdf-text-extractor): extract text from PDFs for AI and search
- [Domain WHOIS, DNS & SSL Checker](https://apify.com/pankajbhatia/domain-whois-dns-ssl-checker): bulk domain, DNS, email security and SSL checks
- [SEO Meta Tags & On-Page Audit](https://apify.com/pankajbhatia/seo-meta-tags-checker): bulk on-page SEO audit with fixes
- [Bulk URL Status & Broken Link Checker](https://apify.com/pankajbhatia/url-status-broken-link-checker): status codes, redirect chains and broken links
- [RSS & Atom Feed Reader](https://apify.com/pankajbhatia/rss-feed-reader): merge and filter many news feeds
- [Hacker News Scraper](https://apify.com/pankajbhatia/hacker-news-scraper): HN stories, comments and Who is hiring jobs
- [Academic Paper Search](https://apify.com/pankajbhatia/academic-paper-search): papers from Crossref, arXiv and PubMed
- [SEC EDGAR Filings & Financials](https://apify.com/pankajbhatia/sec-edgar-filings-financials): 10-K, 10-Q, 8-K filings and company financials

# Actor input Schema

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

App Store links like https://apps.apple.com/us/app/instagram/id389801252, or just the numeric ID (389801252).

## `searchTerms` (type: `array`):

Search the App Store and collect reviews for the top results, e.g. 'budget tracker'.

## `appsPerSearch` (type: `integer`):

How many top search results to include per term.

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

Two-letter App Store country codes, e.g. us, gb, ca, de, in. Reviews are per country.

## `maxReviewsPerApp` (type: `integer`):

Up to 500 (Apple's public feed limit), newest first.

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

Newest reviews first, or most helpful first.

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

Only reviews with at least this many stars (1-5).

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

Only reviews with at most this many stars, e.g. 2 to get only complaints.

## `includeAppDetails` (type: `boolean`):

Adds app name, developer, average rating, rating count, version and genre to each review.

## `includeReviewerName` (type: `boolean`):

The public App Store nickname of the reviewer. Off by default for privacy.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "appsPerSearch": 5,
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 100,
  "sortBy": "mostRecent",
  "minRating": 1,
  "maxRating": 5,
  "includeAppDetails": true,
  "includeReviewerName": false
}
```

# Actor output Schema

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

One item per App Store review.

## `summary` (type: `string`):

Per app and country: reviews returned, average rating and rating count.

# 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": [
        "https://apps.apple.com/us/app/instagram/id389801252"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pankajbhatia/app-store-reviews").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": ["https://apps.apple.com/us/app/instagram/id389801252"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("pankajbhatia/app-store-reviews").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": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "countries": [
    "us"
  ]
}' |
apify call pankajbhatia/app-store-reviews --silent --output-dataset

```

## MCP server setup

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

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/WavduOmvmGbfBiJDv/builds/vXMeWRrNECSzqPYbo/openapi.json