# App Store Reviews + Insights Report (`feedwise/app-review-insights`) Actor

Download iOS App Store reviews from multiple countries and get an instant insights report per app: top complaint themes (crashes, login, pricing, ads...), negative phrases, rating by app version and month, and the most-upvoted critical reviews. For ASO, product teams and competitor research.

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

## Pricing

from $0.40 / 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

## App Store Reviews + Insights Report

Download **iOS App Store reviews from many countries at once** and get an **instant insights report**
for every app — no spreadsheet work, no AI credits.

### What the insights report tells you

- **Top complaint themes** with their share of negative reviews: crashes/bugs, login/account,
  pricing/subscription, ads, performance, UI/UX, customer support, notifications, sync/data loss,
  privacy, and feature requests — each with the most-upvoted example.
- **Top negative and positive phrases** (2- and 3-word phrases people repeat).
- **Rating by app version** — spot the release that broke things.
- **Rating by month and by country.**
- **Most helpful critical reviews** — the complaints other users agree with.

Real example (Duolingo, 600 recent reviews, US/GB/IN): 18% negative; subscription/pricing mentioned in
33% of negative reviews; latest version 7.141.1 averages 3.85★ vs 4.55★ two releases earlier;
India rates the app 4.3★ vs 3.8★ in the US.

### Who it's for

- **ASO and app marketers** — track sentiment after every release.
- **Product managers** — turn reviews into a prioritised bug and feature list.
- **Competitor research** — see exactly why users dislike a rival app.
- **Agencies** — generate a client-ready review audit in one run.

### Input

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
    "spotify"
  ],
  "countries": ["us", "gb", "ca", "au", "in"],
  "maxReviewsPerCountry": 500,
  "sort": "mostrecent",
  "outputReviews": true,
  "outputInsights": true
}
```

Apps can be App Store URLs, numeric IDs, or names (best match). Apple publishes up to 500 recent
reviews per country; adding countries gives you more reviews.

### Output

The dataset contains two row types:

- `type: "review"` — rating, title, text, version, author, date, votes, country and detected `themes`.
- `type: "insights"` — one report per app (distribution, themes, phrases, versions, monthly, countries,
  most helpful negatives) plus app metadata (store rating, rating count, current version).

Switch off `outputReviews` if you only want the reports.

### Pricing

Pay per event: a small fee per review saved, and a fixed fee per insights report.

### Data source

Apple's public customer-review feeds and the iTunes lookup API. No login or scraping of private data.

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/.../id284882215), numeric IDs, or app names (best match is used).

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

Two-letter App Store country codes. Apple publishes up to 500 recent reviews per country, so more countries = more reviews.

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

Apple publishes up to 500 recent reviews per country store.

## `sort` (type: `string`):

Order in which Apple returns reviews.

## `sinceDate` (type: `string`):

Optional. Skip reviews older than this date.

## `outputReviews` (type: `boolean`):

Save each review as a dataset row.

## `outputInsights` (type: `boolean`):

One summary row per app with complaint themes, phrases, version and country breakdowns.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us",
    "gb",
    "ca",
    "au",
    "in"
  ],
  "maxReviewsPerCountry": 500,
  "sort": "mostrecent",
  "outputReviews": true,
  "outputInsights": true
}
```

# Actor output Schema

## `results` (type: `string`):

Rows with type 'insights' are per-app reports; rows with type 'review' are individual reviews.

# 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/duolingo-language-lessons/id570060128"
    ],
    "countries": [
        "us",
        "gb",
        "ca",
        "au",
        "in"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("feedwise/app-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/duolingo-language-lessons/id570060128"],
    "countries": [
        "us",
        "gb",
        "ca",
        "au",
        "in",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("feedwise/app-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/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us",
    "gb",
    "ca",
    "au",
    "in"
  ]
}' |
apify call feedwise/app-review-insights --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,feedwise/app-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/tbIYd8DRZvGTUsv95/builds/hSTXI2p0F5cxN12TK/openapi.json