# App Store & Google Play Reviews Sentiment Intelligence API (`hoang_minh_quan/app-store-play-reviews-sentiment`) Actor

Scrape public App Store and Google Play reviews, scores, and review text — with lexicon sentiment scoring and aggregate intelligence. Public app-market data only; no sensitive personal PII.

- **URL**: https://apify.com/hoang\_minh\_quan/app-store-play-reviews-sentiment.md
- **Developed by:** [Hoang Minh Quan](https://apify.com/hoang_minh_quan) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 96.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $6.00 / 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

## App Reviews Sentiment Intelligence API — Turn Customer Complaints Into Your Product Roadmap

**Stop reading 1-star reviews one by one. Get sentiment trends, topic clusters, and competitive gaps Product Managers can ship from.**

***

### The problem

App Store and Google Play reviews are a goldmine — and a trap:

- PMs drown in **thousands of unstructured comments** with no prioritized themes.
- Star averages hide the real story: *why* users churn (bugs? pricing? ads? onboarding?).
- Competitive “research” is a PM reading rival reviews on Sunday night — **not a system**.
- Support and Product argue from anecdotes; nobody has a shared **topic × sentiment** view.
- Raw review dumps don’t answer: *What should we build next — and where do competitors already hurt?*

If your roadmap still comes from the loudest Slack thread, you’re not listening to the market — you’re listening to noise.

***

### The solution

This Actor turns **public App Store & Google Play reviews** into **product intelligence**:

1. **Collect** — Pull reviews for your apps and competitors (iOS App Store IDs, Play package names, or store URLs).
2. **Score** — Lexicon sentiment per review (`positive` / `negative` / `neutral`) with aggregate rates and average rating.
3. **Cluster** — Tag topics: bugs/stability, performance, UX, pricing, ads, features, support, login/account.
4. **Compare** — Multi-app **competitive report**: ranking by positive rate, shared pain topics, and **opportunity gaps** (themes where you or a rival get hit harder).

You don’t buy “review scraping.” You buy a **roadmap signal pack** for Product Managers and App Owners.

> Public app-store review text & ratings only. Author display names may appear as published on stores; **no sensitive personal PII collection** beyond what’s public on the listing.

***

### Key features

- **iOS + Android in one run** — App Store RSS + Google Play collection
- **Sentiment scoring** — per review + app-level aggregates
- **Topic clustering** — bugs, performance, UX, pricing, ads, features, support, auth
- **Competitive intelligence report** — rank apps, shared pains, opportunity gaps
- **`COMPETITIVE_REPORT` KV** — durable artifact for PM decks and Notion
- **Trend-ready exports** — schedule weekly and chart sentiment / topic mix over time
- **Batch competitors** — your app + 2–5 rivals in a single job
- **PM-friendly JSON** — not a dump of HTML

***

### Quick start (Try for free)

1. Open the Actor in [Apify Console](https://console.apify.com/actors/odi2szdW9IA6iqfCv).
2. Prefill includes Spotify iOS + Android — **Start**, then open `OUTPUT` and `COMPETITIVE_REPORT`.
3. Add your app ID + two rivals → Schedule **weekly** for roadmap rituals.

```json
{
  "platform": "both",
  "appStoreIds": ["324684580"],
  "playPackageIds": ["com.spotify.music"],
  "country": "us",
  "maxReviewsPerApp": 50,
  "enableTopics": true,
  "enableCompetitiveReport": true,
  "useApifyProxy": true,
  "proxyCountry": "US"
}
```

**Pro tip:** Every Monday, run your app + top 3 competitors. Paste `opportunityGaps` and `topComplaints` into the product weekly — that’s your roadmap conversation starter.

***

### Input reference

| Field | Type | Default | Description |
|---|---|---|---|
| `platform` | `string` | `"both"` | `both` | `app_store` | `google_play` |
| `appStoreIds` | `string[]` | `[]` | Numeric Apple IDs (e.g. `324684580`) |
| `playPackageIds` | `string[]` | `[]` | Android packages (e.g. `com.spotify.music`) |
| `appUrls` | `string[]` | `[]` | Store URLs — IDs extracted automatically |
| `country` | `string` | `"us"` | Storefront country |
| `language` | `string` | `"en"` | Google Play language |
| `maxReviewsPerApp` | `integer` | `50` | Cap per app (1–200) |
| `maxPages` | `integer` | `5` | App Store RSS pages (1–10) |
| `maxAttempts` | `integer` | `3` | Retries for Play collection |
| `useApifyProxy` | `boolean` | `true` | Recommended for Google Play |
| `proxyCountry` | `string` | `"US"` | Residential exit country |
| `enableTopics` | `boolean` | `true` | Tag reviews with topic clusters |
| `enableCompetitiveReport` | `boolean` | `true` | Write competitive ranking + gaps |

***

### Output

#### Dataset row (per review)

```json
{
  "platform": "app_store",
  "appId": "324684580",
  "appName": "Spotify",
  "rating": 2,
  "title": "Keeps crashing",
  "content": "App crashes on launch after the last update. So slow and full of ads.",
  "sentiment": "negative",
  "score": -0.75,
  "confidence": 0.8,
  "topics": ["bugs_stability", "performance", "ads_monetization"],
  "country": "us",
  "scrapedAt": "2026-08-06T15:00:00.000Z"
}
```

**Topic labels:** `bugs_stability` · `performance` · `ux_design` · `pricing_value` · `ads_monetization` · `features` · `customer_support` · `login_account`

#### `OUTPUT` summary

```json
{
  "totalReviews": 100,
  "positiveCount": 54,
  "negativeCount": 28,
  "neutralCount": 18,
  "positiveRate": 54.0,
  "negativeRate": 28.0,
  "averageRating": 3.6,
  "overallSentiment": "mixed",
  "apps": [
    {
      "platform": "app_store",
      "appId": "324684580",
      "appName": "Spotify",
      "positiveRate": 58.0,
      "negativeRate": 24.0,
      "overallSentiment": "positive",
      "totalReviews": 50
    }
  ],
  "topicIntelligence": [
    { "topic": "bugs_stability", "count": 22, "negative": 18, "positive": 2 },
    { "topic": "pricing_value", "count": 14, "negative": 9, "positive": 3 }
  ],
  "competitive": {
    "appCount": 2,
    "rankingByPositiveRate": [],
    "sharedPainTopics": [],
    "opportunityGaps": [
      {
        "weakApp": "Rival App",
        "topic": "bugs_stability",
        "negativeMentions": 12,
        "peerAvgNegative": 3.0,
        "angle": "Competitors complain less about \"bugs_stability\" — messaging / product gap."
      }
    ]
  },
  "scrapedAt": "2026-08-06T15:00:00.000Z"
}
```

Also written: **`COMPETITIVE_REPORT`** — full per-app topic breakdown, top complaints, and sample negatives for PM decks.

#### From topics → roadmap

| Cluster signal | Product action |
|---|---|
| High `bugs_stability` negatives | Stabilize / hotfix before new features |
| `pricing_value` spike | Revisit paywall, trials, messaging |
| `ads_monetization` anger | Frequency caps / premium positioning |
| Rival weak on `ux_design` | Ship onboarding polish + competitive creative |

Schedule weekly runs and chart `positiveRate` / topic counts — that’s your **sentiment trend line** without a BI project.

***

### Use cases

#### 1. Product Manager — weekly roadmap ritual

Pull your app + 3 competitors every Monday. Use `topComplaints` and `opportunityGaps` to prioritize the sprint: fix what users scream about, attack where rivals bleed.

#### 2. App Owner / indie founder

You don’t have a research team. One Actor run replaces a weekend of scrolling 1-star reviews — and tells you whether to ship features or fight crashes first.

#### 3. Product marketing / ASOs

Align store creatives and release notes with real topics (`performance`, `pricing`). Competitive gaps become positioning angles: “Unlike X, we don’t crash on launch.”

***

### How intelligence works

```
Reviews  →  sentiment score  →  topic tags  →  per-app aggregates
         →  multi-app competitive report (ranking + opportunity gaps)
         →  OUTPUT + COMPETITIVE_REPORT  →  PM deck / Notion / Sheets
```

Run **one app** for theme discovery. Run **2+ apps** to unlock competitive ranking and opportunity gaps.

***

### Compliance & ethics

- Sources **public** App Store and Google Play review content only.
- Does not collect private account credentials or non-public user data.
- Review text may be sanitized (e.g. emails redacted in normalization).
- You are responsible for lawful use under store terms and your jurisdiction.

***

### Call to action

**Try it free on Apify** → run the Spotify prefill, open `COMPETITIVE_REPORT`, and see topics in seconds.

Ready for a real product loop? Add your App Store ID + Play package + two rivals, enable topics + competitive report, and **Schedule weekly**. Turn customer complaints into the next roadmap — not the next argument.

**Actor:** [App Reviews Sentiment Intelligence](https://console.apify.com/actors/odi2szdW9IA6iqfCv)\
**ID:** `odi2szdW9IA6iqfCv`\
**Build:** `1.1.3`

# Actor input Schema

## `platform` (type: `string`):

Which stores to scrape.

## `appStoreIds` (type: `array`):

Numeric Apple App Store IDs (e.g. 324684580 for Spotify).

## `playPackageIds` (type: `array`):

Android package names (e.g. com.spotify.music).

## `appUrls` (type: `array`):

Optional apps.apple.com / play.google.com URLs — IDs are extracted automatically.

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

Storefront country (us, vn, gb, …).

## `language` (type: `string`):

Google Play UI/language code (en, vi, …).

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

Maximum reviews to collect per app (1–200).

## `maxPages` (type: `integer`):

How many iTunes RSS review pages to fetch (1–10).

## `maxAttempts` (type: `integer`):

Retries for Google Play browser scrape.

## `useApifyProxy` (type: `boolean`):

Recommended for Google Play. App Store RSS often works without proxy.

## `proxyCountry` (type: `string`):

Residential proxy exit country (ISO 2-letter).

## `enableTopics` (type: `boolean`):

Tag each review with topics (bugs, pricing, UX, ads, …).

## `enableCompetitiveReport` (type: `boolean`):

Write COMPETITIVE\_REPORT + ranking / opportunity gaps when multiple apps are scraped.

## Actor input object example

```json
{
  "platform": "both",
  "appStoreIds": [
    "324684580"
  ],
  "playPackageIds": [
    "com.spotify.music"
  ],
  "appUrls": [],
  "country": "us",
  "language": "en",
  "maxReviewsPerApp": 50,
  "maxPages": 5,
  "maxAttempts": 3,
  "useApifyProxy": true,
  "proxyCountry": "US",
  "enableTopics": true,
  "enableCompetitiveReport": true
}
```

# Actor output Schema

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

Dataset of public app reviews with sentiment and topics

## `report` (type: `string`):

COMPETITIVE\_REPORT JSON in the default key-value store

# 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 = {
    "appStoreIds": [
        "324684580"
    ],
    "playPackageIds": [
        "com.spotify.music"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hoang_minh_quan/app-store-play-reviews-sentiment").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 = {
    "appStoreIds": ["324684580"],
    "playPackageIds": ["com.spotify.music"],
}

# Run the Actor and wait for it to finish
run = client.actor("hoang_minh_quan/app-store-play-reviews-sentiment").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 '{
  "appStoreIds": [
    "324684580"
  ],
  "playPackageIds": [
    "com.spotify.music"
  ]
}' |
apify call hoang_minh_quan/app-store-play-reviews-sentiment --silent --output-dataset

```

## MCP server setup

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

```

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/odi2szdW9IA6iqfCv/builds/tipS9hAdX4enCKpip/openapi.json