# Mobile App Review Intelligence — iOS + Android + AI (`avacl/mobile-app-review-intelligence`) Actor

Scrape reviews from Apple App Store AND Google Play for any app. Get AI-powered insights: top complaints, feature requests, sentiment trends, and competitive comparison. Perfect for product teams, ASO agencies, and investors.

- **URL**: https://apify.com/avacl/mobile-app-review-intelligence.md
- **Developed by:** [EVA](https://apify.com/avacl) (community)
- **Categories:** AI, Lead generation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

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

## Mobile App Review Intelligence — iOS + Android + AI

Scrape user reviews from the **Apple App Store** and **Google Play Store** simultaneously, then get AI-powered competitive intelligence in one run. No API keys required to start — AI analysis works out of the box.

### What it does

- **iOS reviews** — fetches from Apple's public iTunes RSS (no auth needed)
- **Android reviews** — uses Google Play with no API key required
- **AI analysis** — automatic sentiment scoring, top complaints, feature requests, churn risk, and opportunity detection
- **Competitive comparison** — analyze 2–5 apps side-by-side to find market gaps

### Key features

- Zero setup for AI — free model embedded, works immediately
- Up to 500 reviews per app per platform
- Supports any country code (US, GB, DE, SA, JP, ...)
- Output: raw reviews + per-app AI report + cross-app competitive summary
- Filter by minimum rating (e.g., 1-star reviews only)

### Who uses this

- **Product managers** — understand what users actually hate and want
- **ASO agencies** — track competitor sentiment changes over time
- **Investors & analysts** — due diligence on app quality and user satisfaction
- **Startup founders** — find the gap: what complaints do all market leaders share?

### Input

```json
{
  "apps": [
    {"name": "Slack", "iosId": "618783545", "androidId": "com.Slack"},
    {"name": "Microsoft Teams", "iosId": "1113153706", "androidId": "com.microsoft.teams"},
    {"name": "Notion", "iosId": "1232780281", "androidId": "notion.id"}
  ],
  "maxReviewsPerApp": 100,
  "country": "us",
  "enableAI": true,
  "outputFormat": "reviews_and_report"
}
```

#### Finding the Android package ID

Open the app's Google Play page in a browser. The URL contains: `?id=com.example.app` — that's your `androidId`.

#### Finding the iOS App ID

You can leave `iosId` blank — the Actor auto-detects it from the app name. Or find it in the App Store URL: `https://apps.apple.com/app/id618783545` (the number at the end).

### Output

#### Reviews (raw)

```json
{
  "platform": "ios",
  "rating": 2,
  "title": "Clunky UI",
  "body": "Can't close DMs in the current year...",
  "author": "username",
  "date": "2026-06-18T12:54:00-07:00",
  "version": "26.06.20",
  "app_name": "Slack"
}
```

#### AI App Report

```json
{
  "_type": "app_report",
  "app_name": "Slack",
  "sentiment_score": 0.43,
  "overall_sentiment": "positive",
  "top_complaints": [
    "Cluttered UI",
    "Cannot close direct messages",
    "Too many noisy features",
    "Confusing thread implementation",
    "High cost for access"
  ],
  "top_praises": [
    "Highly flexible",
    "Powerful search",
    "Best team messaging service"
  ],
  "feature_requests": [
    "Simplify the interface",
    "Ability to close DMs",
    "Better thread usability"
  ],
  "critical_bug": "cannot close direct messages",
  "key_insight": "Users love Slack's flexibility but are frustrated by UI clutter and inability to close DMs.",
  "churn_risk": "low",
  "opportunity": "Redesign UI to be cleaner and add a way to close/archive direct message threads."
}
```

#### Competitive Comparison (when 2+ apps analyzed)

```json
{
  "_type": "competitive_comparison",
  "winner": "Slack",
  "biggest_loser": "Microsoft Teams",
  "market_gap": "All apps fail at simplicity — a new app that prioritizes clarity could win",
  "competitive_summary": "Slack leads on UX but both apps struggle with notification reliability.",
  "steal_users_from": "Teams users are most likely to switch due to poor mobile UX"
}
```

### AI model

By default, the Actor uses a free Llama 70B model via OpenRouter — no cost to you. The Actor automatically falls back to other free models if the primary is rate-limited.

To use a more powerful model (Claude, GPT-4o, Gemini), add your own OpenRouter API key in the `openrouterApiKey` field. Get a free key at [openrouter.ai](https://openrouter.ai).

### Use cases

#### Track your competitor's pain points

Set up a scheduled run every week. Watch for spikes in `churn_risk` or new items in `top_complaints`.

#### Find what the market is missing

Run 5 competing apps together. The `market_gap` field in the competitive comparison tells you exactly what none of them are solving.

#### Improve your own app's ratings

Feed your own app's reviews into the Actor. The `opportunity` field gives you the single improvement most likely to raise your rating.

#### App store optimization (ASO)

Use `top_complaints` and `feature_requests` as keyword sources for your app store listing.

### Pricing

This Actor uses Pay Per Event (PPE) pricing on Apify:

| Plan | Price | Best for |
|------|-------|----------|
| Single report | $4.97 | One-time analysis of 1–3 apps |
| 20 reports | $49 | Ongoing monitoring, agencies |
| 100 reports | $97 | High-volume or reseller use |

Each "report" = one full run (any number of apps, any review count).

### Limitations

- iOS: up to 500 reviews per app (Apple RSS pagination limit)
- Android: `androidId` must be provided manually (package name from Play Store URL)
- AI analysis requires internet access to OpenRouter

### Support

Found a bug or need a feature? Open an issue or contact through the Apify platform.

# Actor input Schema

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

List of apps. Provide name for auto iOS detection. Add androidId (package name from Google Play URL) for Android reviews.

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

Reviews to fetch per app per platform (iOS + Android separately). Max 500.

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

Country code for reviews (e.g. us, gb, de, sa)

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

Only include reviews with this rating or higher. Use 1 for all reviews.

## `enableAI` (type: `boolean`):

Generate competitive intelligence report: top complaints, feature requests, sentiment, comparison between apps.

## `openrouterApiKey` (type: `string`):

Get a free key at openrouter.ai. Supports 100+ AI models including Claude, GPT-4, Gemini, and free Llama models.

## `model` (type: `string`):

Any OpenRouter model ID. Default is free Llama 70B — no cost. Upgrade to: anthropic/claude-sonnet-4-5, openai/gpt-4o, google/gemini-2.5-flash-lite

## `outputFormat` (type: `string`):

Choose what to include in the output dataset.

## Actor input object example

```json
{
  "apps": [
    {
      "name": "Slack",
      "iosId": "618783545",
      "androidId": "com.Slack"
    },
    {
      "name": "Notion",
      "iosId": "1232780281",
      "androidId": "notion.id"
    },
    {
      "name": "Trello"
    }
  ],
  "maxReviewsPerApp": 100,
  "country": "us",
  "minRating": 1,
  "enableAI": true,
  "model": "meta-llama/llama-3.3-70b-instruct:free",
  "outputFormat": "reviews_and_report"
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("avacl/mobile-app-review-intelligence").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("avacl/mobile-app-review-intelligence").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 '{}' |
apify call avacl/mobile-app-review-intelligence --silent --output-dataset

```

## MCP server setup

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

```

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/wch9twZ15o4TsSSKo/builds/w8HYcGXuqhUG4shWl/openapi.json