# App Store Review Digest (`hereditary_model/app-store-review-digest`) Actor

Pulls Apple App Store reviews for an app and clusters them into what users are actually complaining about and praising.

- **URL**: https://apify.com/hereditary\_model/app-store-review-digest.md
- **Developed by:** [Aaron Marxsen](https://apify.com/hereditary_model) (community)
- **Categories:** Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 review returneds

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?

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

## App Store Review Digest

Star ratings tell you *that* people are unhappy, not *why*. This pulls an app's App Store reviews straight from Apple's public feed and tags each one with what it's actually about — crashes, pricing, missing features, customer support — so you can see what's driving the rating without reading every review by hand.

### What it does

1. Resolves each app you give it — a name or a numeric App Store ID — to its App Store listing.
2. Pulls recent reviews from Apple's public customer-reviews feed, up to the page limit you set.
3. Tags each review with the themes it touches on: crashes, bugs, performance, pricing, ads, login, sync, UI/design, customer support, missing features, notifications, and more.
4. Buckets each review negative / neutral / positive by its star rating.
5. Ranks the app's most common complaint themes across its 1–3 star reviews.
6. Drops anything outside your rating range **before** billing.

This is keyword-based theme tagging, not LLM sentiment analysis — it's fast, free to run, and transparent about what matched, but it won't catch sarcasm or nuance the way a model would.

### Output

Every review row carries the app-level rollup alongside it, so you don't need a second query to get the big picture:

| Field | Notes |
| --- | --- |
| `appName`, `rating`, `sentiment`, `title`, `content` | The review itself |
| `themes` | Keyword-matched topics this specific review touches |
| `appAverageRating`, `appReviewsAnalyzed` | This app's rollup across everything fetched this run |
| `appTopComplaintThemes` | This app's most common complaint themes among 1–3★ reviews |

### Input

Only `apps` is required — names or numeric IDs, either works.

```json
{
  "apps": ["Notion", "1232780281"],
  "country": "us",
  "maxPages": 5,
  "minRating": 1,
  "maxRating": 3
}
```

Set `minRating`/`maxRating` to `1`–`3` to pull nothing but complaints, or leave the full 1–5 range to see praise themes too.

### Pricing

Pay per event. You're billed per review returned and once per app digested, not for pages fetched that came back empty.

# Actor input Schema

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

One per line: either an App Store numeric ID (for example 1232780281) or an app name to search for (for example Notion).

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

Two-letter App Store country code to pull reviews and search results from.

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

Each page is up to 50 reviews. Apple's public feed caps out around 10 pages per app.

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

Drop reviews rated below this, before billing. Set to 1 to keep everything.

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

Drop reviews rated above this. Set to 5 to keep everything, or to 3 to focus purely on complaints.

## Actor input object example

```json
{
  "apps": [
    "Notion"
  ],
  "country": "us",
  "maxPages": 5,
  "minRating": 1,
  "maxRating": 5
}
```

# Actor output Schema

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

No description

## `summary` (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 = {
    "apps": [
        "Notion"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hereditary_model/app-store-review-digest").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": ["Notion"] }

# Run the Actor and wait for it to finish
run = client.actor("hereditary_model/app-store-review-digest").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": [
    "Notion"
  ]
}' |
apify call hereditary_model/app-store-review-digest --silent --output-dataset

```

## MCP server setup

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

```

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/r8tHP6iHf6V3BEjJC/builds/Wdc8QFrHhC4nDitoB/openapi.json