# App Store Reviews Scraper — iOS app reviews by app and country (`inovaflow/app-store-reviews-scraper`) Actor

Public reviews of any iOS app from Apple's App Store: reviewer, rating, title, text, date and the app's own rating and review count, per country, newest or most helpful first. Paste an app link, numeric ID or name. No login, no API key, pay per review, MCP-ready.

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

## Pricing

from $0.20 / 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

**Every public review of any iOS app, straight from Apple's App Store — reviewer, stars, title, text, date, the developer's reply, and the app's own rating, review count and star histogram — per country, delivered newest first. Paste a link, an ID or a name. No login, no API key, $0.20 per 1,000 reviews.**

If you build, market or research mobile apps, you know the App Store shows you a handful of reviews at a time and no way to export them. The reviews are public — every one of them — and the store's own page reads them through a plain feed, twenty at a time. We wired that feed up so you can pull the whole history of any app in any storefront into a table, filter it, and watch it week by week.

We built this to feed our own review-intelligence reports and use it daily. Now we're sharing it.

### Who it's for

- **Product teams** — *"what are people complaining about in the last 30 days?"*: newest first, 1–2 stars, since a date.
- **Competitive research** — *"pull the last 500 reviews of each of our three competitors, in the US and the UK."*
- **App marketers and ASO** — *"which reviews did the developer answer, and how fast?"*
- **Support and community** — *"every new review since Monday, into Slack or a sheet."*
- **AI agents and pipelines** — *"reviews of app X as flat JSON, with the app's rating and histogram on every row."*

### What you can enter

| Input | Example | What happens |
|---|---|---|
| **App Store link** | `https://apps.apple.com/us/app/slack/id618783545` | The id and the storefront come from the link |
| **Numeric app ID** | `618783545` | Read in the storefronts you list (US by default) |
| **App name** | `Notion` | Looked up in the storefront's search; the exact name wins, else the top hit |

**Each row:** reviewer name, stars, title, text, date, whether the review was edited, the developer's reply and its date (when there is one), the review's rank in Apple's feed, and — repeated on every row so the table stands alone — the app's name, developer, category, current version, overall rating, rating count and the 5★…1★ histogram, the storefront and a link to the reviews page.

### Options that matter

- **Storefronts** — reviews live per country. `us` is the default; add `gb`, `de`, `jp`… and you get one set per app per storefront.
- **Maximum reviews to read per app and storefront** — how deep the Actor reads the feed, and the cap on what you pay. 50 is a quick look, 2,000 a deep history.
- **Deliver newest first** — on by default: each app's rows come sorted by date. Apple's feed itself is in its "most helpful" order (the store offers no date sort to the public), and that rank stays on every row as `feedPosition`.
- **Only reviews published on or after** — keeps the reviews after a date among those read. For everything since a date on a busy app, raise the maximum to read.
- **Minimum / maximum stars** — `1`–`2` gives you the complaints, `5` the praise.

### How to set it up

1. Paste the apps (links, ids or names), one per line.
2. Pick the storefronts and the filters, and set the maximum reviews to read per app.
3. Run. Rows land in the dataset app by app; the status message and the `OUTPUT` record say how each app was resolved, how many pages were read, what was filtered out and why the Actor stopped.

### Pricing

Pay per result: **$0.0002 per review** ($0.20 per 1,000), plus the platform's start fee ($0.005 per GB of memory, one unit at the default 512 MB). Reviews removed by your star or date filters, duplicates and empty runs are never charged.

### Notes

- **No account, no key.** Everything comes from the App Store's public catalog and the public reviews feed the store page itself uses.
- **Developer replies** come with the review when the developer answered — including the reply's date.
- **Order.** The feed lists all of an app's reviews, but in Apple's "most helpful" order; there is no public date-sorted feed any more (the old RSS feed answers empty). The Actor reads as deep as you ask and sorts what it read by date.
- **Apple throttles each IP** after a few pages. The Actor reads through Apify's datacenter proxy and rotates sessions on every throttle; when the datacenter pool is throttled too, it switches to residential by itself. A deep history of a very busy app simply takes a little longer.
- **Storefront availability.** An app that is not sold in a storefront has no reviews there — the row set is empty and the summary says `not found` for that pair.

# Actor input Schema

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

One per line: `https://apps.apple.com/us/app/slack/id618783545`, `618783545`, or `Slack`.

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

Two-letter country codes. Reviews live per storefront: `us` has the US reviews, `gb` the UK ones, and so on. One row set per app per country.

## `newestFirst` (type: `boolean`):

Apple's feed comes in its own "most helpful" order and offers no date sort to the public. On, each app's delivered rows are sorted by date, newest first (the feed position is kept on every row). Off keeps Apple's order.

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

Stops after this many delivered reviews for each app in each storefront. Also caps what you pay. Without filters that is the first N of Apple's feed; with a star or date filter the feed is read further (see the page budget) until N matching reviews are found.

## `publishedAfter` (type: `string`):

A date, `YYYY-MM-DD`. Keeps only reviews published on or after it. The feed is not in date order, so the Actor reads further pages (up to the page budget) to fill the maximum.

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

Keep only reviews rated at least this many stars.

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

Keep only reviews rated at most this many stars. `2` with a minimum of `1` gives you the complaints.

## `maxPagesPerApp` (type: `integer`):

Apple's feed is in its own order, so with a star or date filter the Actor keeps reading pages (20 reviews each) until the maximum is filled with matching reviews — up to this many pages. 15 pages = 300 reviews read.

## `maxConcurrency` (type: `integer`):

How many app/storefront pairs are read at the same time. Apple rate-limits each IP, so more parallelism means more proxy sessions, not faster pages.

## `proxyConfiguration` (type: `object`):

Apple answers a plain IP but throttles it after a few pages. The default Apify datacenter proxy rotates sessions on every throttle; residential is used automatically when the datacenter pool is throttled too.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/slack/id618783545",
    "Notion"
  ],
  "countries": [
    "us",
    "gb",
    "de"
  ],
  "newestFirst": true,
  "maxReviewsPerApp": 50,
  "publishedAfter": "2026-01-01",
  "minRating": 1,
  "maxRating": 5,
  "maxPagesPerApp": 15,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per review: app, storefront, reviewer, stars, title, text, date, edited flag.

## `apps` (type: `string`):

The app behind each row: developer, overall rating, review count, version, category.

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

Reviews per app and storefront, resolution, pages read, throttles, what could not be found.

# 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/slack/id618783545"
    ],
    "countries": [
        "us"
    ],
    "maxReviewsPerApp": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("inovaflow/app-store-reviews-scraper").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/slack/id618783545"],
    "countries": ["us"],
    "maxReviewsPerApp": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("inovaflow/app-store-reviews-scraper").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/slack/id618783545"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call inovaflow/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

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/eMU29NnMLRjLqJini/builds/5WDjNPWYBuNF7ZhDH/openapi.json