# App Store Reviews Scraper & Insights: Ratings, Complaints (`tanlabs/app-store-review-insights`) Actor

Pull iOS App Store reviews from Apple's official public feeds for any app in up to 50+ countries and get a ready-made insight report: rating distribution, rating by app version, monthly trend, top complaint themes and the most-mentioned words in 1–2★ reviews. No login, no proxies.

- **URL**: https://apify.com/tanlabs/app-store-review-insights.md
- **Developed by:** [TanLabs](https://apify.com/tanlabs) (community)
- **Categories:** AI, Developer tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## App Store Reviews Scraper & Insights

Turn iOS App Store reviews into a decision-ready report in one run: **what users complain about, which app version hurt ratings, and how sentiment moves month to month**, for your app or any competitor, in as many countries as you like.

Data comes only from Apple's **official public endpoints** (the customer-reviews RSS feed and the iTunes Lookup API). No login, no cookies, no proxies, no scraping of private pages.

### What you get

For every app × country, one **summary** row:

| Field | Meaning |
|---|---|
| `appName`, `developer`, `genre`, `price`, `currentVersion` | From Apple's Lookup API |
| `storeAverageRating`, `storeRatingCount` | Apple's overall rating |
| `reviewsFetched`, `fetchedAverageRating` | Rating of the most recent reviews (up to 500 per country, Apple's limit) |
| `ratingDistribution`, `negativeShare` | 1–5★ counts and the share of 1–2★ |
| `ratingByVersion` | Average rating per app version: spot the release that broke things |
| `ratingByMonth` | Monthly trend |
| `complaintThemes` | Crashes/bugs, login/account, pricing/subscription, ads, performance, sync/data loss, bad update/UI, support, notifications, with counts, share and an example quote |
| `topNegativeTerms`, `topNegativePhrases` | Most frequent words and two-word phrases in 1–2★ reviews |
| `mostHelpfulNegative` | The 3 most up-voted critical reviews |

Optionally every individual review as its own row (`type: "review"`): id, title, text, rating, version, author, date, votes.

### Use cases

- Competitor research before building an app: find the pain points users already pay to escape.
- Product teams: catch a bad release within days, by version.
- Agencies / ASO: monthly review reports for clients across countries.
- AI agents (via Apify MCP server): give an LLM a compact, structured review digest instead of raw text.

### Input

```json
{
  "apps": ["https://apps.apple.com/us/app/ynab/id1010865877", "284882215"],
  "countries": ["us", "gb", "de"],
  "maxReviewsPerCountry": 200,
  "includeReviews": true
}
```

### Pricing (pay per event)

- **App report**: one per app × country summary.
- **Review**: per individual review row (only when `includeReviews` is on).

Turn `includeReviews` off to pay only for summaries.

### Limits

Apple's public feed exposes at most the ~500 most recent reviews per app per country. Older history is not available from Apple publicly, so this Actor does not claim it.

### Support

Open an issue on the Actor's Issues tab. Built by TanLabs.

### More from TanLabs

- [AI Search Readiness Audit (GEO/AEO) + llms.txt generator](https://apify.com/tanlabs/ai-search-readiness-audit)
- [App Store Top Charts & Rank Tracker](https://apify.com/tanlabs/app-store-top-charts)
- [Social Preview & Meta Tag Checker (Open Graph, X Card)](https://apify.com/tanlabs/social-preview-meta-checker)

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/name/id284882215) or numeric app IDs (284882215).

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

Two-letter App Store country codes. Each app is checked in every country listed.

## `maxReviewsPerCountry` (type: `integer`):

Apple's public feed returns at most 500 most-recent reviews per app per country.

## `includeReviews` (type: `boolean`):

Also save every review as its own dataset row (billed per review). Turn off to get only the insight summary.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/youtube-watch-listen-stream/id544007664"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxReviewsPerCountry": 200,
  "includeReviews": true
}
```

# Actor output Schema

## `summaries` (type: `string`):

One insight report per app and country.

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

Individual reviews (when includeReviews is on).

# 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/youtube-watch-listen-stream/id544007664"
    ],
    "countries": [
        "us",
        "gb"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tanlabs/app-store-review-insights").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/youtube-watch-listen-stream/id544007664"],
    "countries": [
        "us",
        "gb",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("tanlabs/app-store-review-insights").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/youtube-watch-listen-stream/id544007664"
  ],
  "countries": [
    "us",
    "gb"
  ]
}' |
apify call tanlabs/app-store-review-insights --silent --output-dataset

```

## MCP server setup

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

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/GKkl6vUOGj8IKOq8O/builds/dTUYrA53l7uUjjkGK/openapi.json