# App Store Reviews by Country: Filter by Rating, Date & Keyword (`spellzcode/app-store-reviews-by-country`) Actor

Get the latest App Store reviews for any iOS or macOS app in any country: rating, title, text, author, app version, date and helpful votes. Filter by star rating, date and keywords to find complaints, feature requests or praise.

- **URL**: https://apify.com/spellzcode/app-store-reviews-by-country.md
- **Developed by:** [Mårten Fitzback](https://apify.com/spellzcode) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.14 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 by Country: Filter by Rating, Date & Keyword

Get the latest App Store reviews for any iOS or macOS app, in any country's store, and keep only the ones you need.

It reads Apple's own public review feed, so results are complete and nothing gets blocked. **You pay only for reviews returned**, after your filters are applied.

### What you get for each review

| Field | What it is |
|---|---|
| `rating`, `title`, `text` | The review itself |
| `author`, `date`, `appVersion` | Who wrote it, when, and on which version of the app |
| `helpfulVotes`, `totalVotes` | How other users voted on the review |
| `country` | The store the review was posted in |
| `appName`, `developer`, `appAverageRating`, `appRatingCount` | The app's name, developer and overall rating in that country |

### Filters

- **Star rating:** set the lowest and highest rating, for example 1 to 2 for complaints only.
- **Date:** only reviews from the last N days. Run it daily with 1 to collect only new reviews.
- **Keywords:** only reviews mentioning words such as `crash`, `login` or `subscription`.

### Input

```json
{
  "apps": ["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"],
  "countries": ["us", "gb", "de"],
  "maxRating": 2,
  "postedWithinDays": 30,
  "keywords": ["crash", "bug"]
}
```

### Typical uses

- **Product teams:** see what users complain about after each release, by version.
- **Competitor research:** read the low-star reviews of rival apps to find what they get wrong.
- **Support and alerts:** a daily run with a date filter catches new negative reviews.
- **Localization:** compare how the same app is received in different countries.

### Pricing

$0.20 per 1,000 reviews ($0.0002 each). One charge per review returned.

All 500 available reviews of an app in one country cost $0.10. The same app in 20 countries costs at most $2.

Each run also has a start charge of $0.00005. There is no separate charge for computing time. Apify's paid plans get 10% to 30% off these prices; the Pricing tab shows yours. Apify's free plan includes $5 of credit a month, which covers 25,000 reviews.

### Limits

- Apple publishes the 500 most recent reviews per app and country. Older reviews are not available from this source; add more countries to collect more.
- Ratings left without a written review are not included, which is why the review count is lower than the app's rating count.

### Questions

#### Can I run it on a schedule?

Yes. Save your input as a task and add an Apify schedule, for example every morning.

#### How do I get the results into Excel or Google Sheets?

Every run's results can be downloaded as Excel, CSV or JSON from the run's Output tab. Apify's integrations with Make, Zapier, n8n and Google Sheets can pass them on automatically.

#### Can I call it from my own code or from an AI agent?

Yes. The API tab has ready-made code for Python, JavaScript and cURL, and the tool can be connected to AI agents through Apify's MCP server.

#### Something looks wrong or is missing

Open a report under the Issues tab and include the input you used.

# Actor input Schema

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

One per line: an App Store link such as https://apps.apple.com/us/app/spotify/id324684580, or just the numeric app ID from that link.

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

Two-letter country codes, such as us, gb, de, se. Reviews are separate in each country's store. If left empty, the country in each app link is used, or us.

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

Apple publishes the 500 most recent reviews per app and country.

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

Set the lowest and highest rating to 1 and 2 to collect only complaints.

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

The highest star rating to include.

## `postedWithinDays` (type: `integer`):

Optional. Run it daily with 1 to collect only new reviews.

## `keywords` (type: `array`):

Optional. Keep only reviews whose title or text contains at least one of these words or phrases, for example crash, login, subscription.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "maxReviewsPerApp": 500,
  "minRating": 1,
  "maxRating": 5
}
```

# Actor output Schema

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

One item per review: rating, title, text, author, app version, date and votes, with the app's name and overall rating.

# 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/spotify-music-and-podcasts/id324684580"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("spellzcode/app-store-reviews-by-country").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/spotify-music-and-podcasts/id324684580"] }

# Run the Actor and wait for it to finish
run = client.actor("spellzcode/app-store-reviews-by-country").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/spotify-music-and-podcasts/id324684580"
  ]
}' |
apify call spellzcode/app-store-reviews-by-country --silent --output-dataset

```

## MCP server setup

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

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/3HBWhcvxsqGjGh4rW/builds/aezHRzZt3zcaRHdao/openapi.json