# App Store Reviews Scraper API + AI Insights (`data-drip/app-store-reviews-ai`) Actor

Scrape Apple App Store reviews for any iPhone/iPad app in any country: rating, title, text, version, date and votes, plus app info. Optional AI tags sentiment, topics, bugs and feature requests. Official Apple feeds, no reviewer names.

- **URL**: https://apify.com/data-drip/app-store-reviews-ai.md
- **Developed by:** [Ibraheem Ganayim](https://apify.com/data-drip) (community)
- **Categories:** AI, Marketing, Developer tools
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 review scrapeds

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 API + AI Insights

**App Store Reviews Scraper at a glance:** data from Apple's official customer-reviews feed and iTunes Search / Lookup API · no login, no browser, no proxies · **$0.10 per 1,000 reviews** · optional AI with your own key · JSON, CSV, Excel export, API and MCP ready

### What does the App Store Reviews Scraper do?

Scrape **Apple App Store reviews** for any iPhone or iPad app, in **any country**: star rating, review title, review text, app version, date and helpful votes, together with the app's name, developer, genre, overall rating and rating count. Turn on the optional **AI insights** to tag every review with **sentiment, topics, bug reports, feature requests and urgency**, so you can turn hundreds of reviews into a product roadmap in minutes.

The Actor uses **Apple's official public customer-reviews feed and the iTunes Search / Lookup API**. It needs no browser, no login and no proxies, so runs are fast and cheap. **Reviewer nicknames and profile links are never collected.**

### Why this App Store review scraper?

- **Any app, any country**: paste an App Store URL or numeric app ID, pick one or more country codes (`us`, `gb`, `de`, `es`...)
- **Find apps by keyword**: no ID needed, search "habit tracker" and scrape the top results
- **Up to 500 reviews per app per country**, newest or most helpful first
- **Star filters**: only 1–2 star complaints, or only 5-star praise
- **App metadata** on every row: developer, genre, rating, rating count, version, price
- **AI review analysis** (optional, your own OpenAI/OpenRouter key): sentiment, topics, `isBug`, `isFeatureRequest`, requested feature, urgency, one-line summary
- **Privacy-first**: no usernames, emails or phone numbers in the output

### Use cases

- **App review analysis** and sentiment tracking after every release
- **Competitor research**: what users love and hate about rival apps
- **Bug triage**: surface crash and login complaints per version
- **Feature-request mining** for product managers and indie developers
- **ASO (App Store Optimization)**: learn the words real users use
- **Feeding reviews into an LLM, RAG pipeline or dashboard** (JSON, CSV, Excel, API)

### How to use the App Store Reviews Scraper

1. Click **Try for free** (or **Start**) on this page and sign in to Apify.
2. Paste App Store URLs or numeric app IDs, or search apps by keyword.
3. Pick one or more countries and how many reviews per app (up to 500 per country), optionally filter by stars.
4. Optionally enable AI insights and paste your OpenAI or OpenRouter key.
5. Click **Start**, then download results as JSON, CSV or Excel, or fetch them via the API.

### Input

| Field | Description |
|---|---|
| `apps` | App Store URLs (`https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281`) or numeric IDs (`1232780281`) |
| `searchTerms` / `maxAppsPerSearch` | Optional: find apps by keyword and take the top N results |
| `countries` | Two-letter store codes, default `["us"]`. Each country has its own reviews |
| `sortBy` | `mostrecent` (default) or `mosthelpful` |
| `maxReviewsPerApp` | Per app and country, up to 500 (Apple's limit) |
| `maxReviewsTotal` | Hard cap for the run |
| `minRating` / `maxRating` | Star filters (e.g. 1–2 for complaints only) |
| `includeAppDetails` | Add description, release notes, release dates, size, languages and icon |
| `enableAi`, `llmProvider`, `llmApiKey`, `llmModel` | Optional AI insights with your own key |

```json
{ "apps": ["https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"], "countries": ["us", "gb"], "maxReviewsPerApp": 200, "maxRating": 2 }
```

### Output example

One row per review, straight from the Apple's official customer-reviews feed and iTunes Search / Lookup API:

```json
{
  "appId": "1232780281",
  "appName": "Notion: Notes, Tasks, AI",
  "bundleId": "notion.id",
  "developer": "Notion Labs, Incorporated",
  "genre": "Productivity",
  "appRating": 4.77484,
  "appRatingCount": 90557,
  "currentVersion": "1.7.350",
  "price": 0,
  "currency": "USD",
  "appUrl": "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281?uo=4",
  "country": "us",
  "reviewId": "14728523558",
  "rating": 5,
  "title": "Part of my daily routine",
  "text": "I use Notion every day to keep my life organized... One suggestion I'd love to see is a feature that lets you open two Notion pages side by side...",
  "reviewedVersion": "1.7.350",
  "date": "2026-10-29T23:50:04-07:00",
  "helpfulVotes": 0,
  "totalVotes": 0,
  "ai": {
    "sentiment": "positive",
    "topics": ["customization", "multitasking", "AI"],
    "isBug": false,
    "isFeatureRequest": true,
    "featureRequested": "Split view to open two pages side by side on iPhone",
    "urgency": "low",
    "summary": "Daily user loves customization and AI, asks for side-by-side pages."
  },
  "scrapedAt": "2026-10-31T20:03:19.808Z"
}
```

The `ai` object only appears when AI insights are enabled with a key (values shown are illustrative).

### How much does it cost?

This Actor uses **pay per event** pricing: you pay only for results saved to your dataset, with no monthly fee. Apify platform compute is included.

| Event | Price |
|---|---|
| Review scraped | **$0.0001** per review ($0.10 per 1,000) |
| AI review insight | **$0.0015** per review (plus your own LLM tokens) |

Apps that are not found in a country are skipped for free. You can cap spend with Apify's **Maximum cost per run**.

**Examples**

- 1,000 reviews: **$0.10**
- 10,000 reviews: **$1**
- 1,000 reviews with AI: **$1.60** plus your LLM tokens (typically cents with `gpt-4o-mini`)

Apify's Free plan includes $5 of monthly usage, enough for about **50,000 reviews** without AI. Set **Maximum cost per run** in the run options to cap spend; the Actor stops cleanly at the limit.

### Use it via API, Python, n8n, Make or AI agents

Run the Actor and get results in one call (replace `<APIFY_TOKEN>` with your token):

```bash
curl -X POST "https://api.apify.com/v2/acts/data-drip~app-store-reviews-ai/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"apps": ["https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"], "countries": ["us", "gb"], "maxReviewsPerApp": 200}'
```

```python
from apify_client import ApifyClient

client = ApifyClient('<APIFY_TOKEN>')
run = client.actor('data-drip/app-store-reviews-ai').call(run_input={"apps": ["https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"], "countries": ["us", "gb"], "maxReviewsPerApp": 200})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

- **Schedules**: run it hourly, daily or weekly from Apify Schedules.
- **Integrations**: send results to Google Sheets, Slack, Zapier, Make, n8n or a webhook.
- **AI agents (MCP)**: add `data-drip/app-store-reviews-ai` as a tool in the Apify MCP server (`https://mcp.apify.com`) for Claude, Cursor and other MCP clients.

### Limitations

- Apple's public feed exposes the latest 500 reviews per app per country.
- Apple App Store only (no Google Play).
- Reviewer nicknames and profile links are never collected.

### FAQ

**Is scraping App Store reviews allowed?** The Actor reads Apple's public customer-reviews feed and the public iTunes Search/Lookup API, which Apple provides for programmatic access. It collects no reviewer names, profile links, emails or phone numbers (contact-like strings inside review text are masked).

**Why at most 500 reviews per country?** Apple's public feed exposes the latest 500 reviews (10 pages × 50) per app per country. Add more countries to get more reviews.

**Does it scrape Google Play?** No, this Actor covers the Apple App Store (iPhone, iPad, Mac apps listed in the iOS store).

**Where do I find the app ID?** It is the number after `id` in the App Store URL, e.g. `id1232780281`. You can paste the full URL too, or use `searchTerms`.

**Do I need an AI key?** No. Without a key the Actor is a fast, plain review scraper and you pay only for reviews. To enable AI, paste your own OpenAI or OpenRouter key into **LLM API key** (stored as an encrypted secret). LLM tokens are billed by your provider, not by us.

**Can I schedule it?** Yes. Use Apify Schedules (for example daily) and connect the dataset to Google Sheets, Slack or a webhook to get only fresh reviews.

**How do I get help or request a feature?** Open an issue on the Actor's **Issues** tab.

***

**Related searches:** app store reviews scraper, ios app reviews, apple app store scraper, app review analysis, app store sentiment analysis, feature request mining, aso, competitor app research, itunes reviews api, app store data.

# Actor input Schema

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

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

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

Optional: search the App Store and scrape reviews of the top matching apps, e.g. "habit tracker".

## `maxAppsPerSearch` (type: `integer`):

How many top search results to take per keyword.

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

Two-letter App Store country codes. Each country has its own reviews.

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

Order of reviews returned by Apple.

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

Apple exposes up to 500 reviews per app per country (10 pages x 50).

## `maxReviewsTotal` (type: `integer`):

Hard cap for the whole run.

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

Only keep reviews with at least this many stars.

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

Only keep reviews with at most this many stars (set 2 to get only complaints).

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

Add description, release notes, release dates, languages, size and icon to every review.

## `delayMs` (type: `integer`):

Be polite to Apple's servers.

## `enableAi` (type: `boolean`):

Tag each review with sentiment, topics, bug / feature-request flags, urgency and a one-line summary. Requires your own OpenAI or OpenRouter key.

## `llmProvider` (type: `string`):

Which API your key belongs to.

## `llmApiKey` (type: `string`):

Your OpenAI or OpenRouter API key. Stored encrypted.

## `llmModel` (type: `string`):

Defaults to gpt-4o-mini (OpenAI) or openai/gpt-4o-mini (OpenRouter).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"
  ],
  "maxAppsPerSearch": 3,
  "countries": [
    "us"
  ],
  "sortBy": "mostrecent",
  "maxReviewsPerApp": 100,
  "maxReviewsTotal": 5000,
  "minRating": 1,
  "maxRating": 5,
  "includeAppDetails": false,
  "delayMs": 400,
  "enableAi": false,
  "llmProvider": "openai"
}
```

# Actor output Schema

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

No description

## `aiInsights` (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": [
        "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-drip/app-store-reviews-ai").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/notion-notes-tasks-ai/id1232780281"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("data-drip/app-store-reviews-ai").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/notion-notes-tasks-ai/id1232780281"
  ],
  "countries": [
    "us"
  ]
}' |
apify call data-drip/app-store-reviews-ai --silent --output-dataset

```

## MCP server setup

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

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/ogUXYNXPQbRcn9Zy7/builds/FylO8eYbgHtLjSnsz/openapi.json