# Google Play Apps Scraper & ASO Market Intelligence (`azzarilabs/google-play-apps-aso-intelligence`) Actor

Search Google Play without an API key, export structured Android app data, rankings, ratings, installs and pricing, and analyze observed competition and ASO opportunities.

- **URL**: https://apify.com/azzarilabs/google-play-apps-aso-intelligence.md
- **Developed by:** [Azzari Labs](https://apify.com/azzarilabs) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.30 / 1,000 app 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?

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

## Google Play Apps Scraper & ASO Market Intelligence

Search Google Play without an API key, extract structured Android app data, rankings, ratings, installs, pricing and developer information, and turn public search results into explainable ASO and competitor intelligence.

This independent Actor is useful for Google Play Scraper, Google Play Store Scraper, Google Play Apps Scraper, Google Play Search Scraper, Google Play API research, Android App Data, Google Play App Data, App Rankings, ASO Scraper, ASO Intelligence, App Competitor Research, Android Market Research and App Intelligence workflows.

### What it does

The Actor uses the public Google Play HTML surface with a cookie-free, proxy-free HTTP session. It preserves real search order and package IDs, optionally fetches each public app detail page, and calculates deterministic observed visibility, competition and ASO opportunity signals.

### Input

At least one `searchQueries` or `apps` value is needed. With no input, the safe default is `searchQueries: ["budget planner"]`. `apps` accepts package IDs or public Google Play URLs. `maxResultsPerQuery` is 1–250; country defaults to `us` and language to `en`.

### Results and integrity

App records include title, summary, description, developer, category, public rating counts, rating, install label, pricing, ads/IAP signals, content rating, update date, version when explicitly exposed, screenshots and the original URL. `search_position` is one-based encounter order. Apps are deduplicated by `app_id`, while `matched_queries` retains query coverage.

Install labels such as `100M+` are preserved in `installs_text`. `min_installs` is only the lower bound of that public range, never an exact install count. Unknown values remain null; no installs, ratings, dates, prices or developer facts are invented.

### Intelligence

`app_visibility_strength_score` (0–100) combines observed search position, rating quality, rating depth, install-band depth and update freshness. `search_competition_score` describes only the strength and maturity observed in this result set. `aso_opportunity_score` describes observed competitive openness using diversity, weaknesses and stale listings. These scores do not measure keyword search volume, demand, downloads, revenue, conversion or guaranteed ranking performance.

### Privacy, limitations and pricing

No login, Google account, user cookies, API key, browser, paid proxy, CAPTCHA service or paid external API is used. Public publisher information is retained only as app intelligence. Similar-app relationships stay null unless a stable public signal is available.

Pay-per-event is prepared but inactive: `app-result`, proposed USD 0.00030 per valid unique app (USD 0.30 per 1,000). Search summaries, warnings, duplicates, empty searches, OUTPUT and REPORT are not billable.

Google Play and Google are trademarks of their respective owners. This independent product is not affiliated with, endorsed by, sponsored by or officially connected to Google.

# Actor input Schema

## `searchQueries` (type: `array`):

English Google Play search terms. Used when apps is empty.

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

Android package IDs or public play.google.com app URLs. Used when searchQueries is empty.

## `maxResultsPerQuery` (type: `integer`):

Maximum unique public apps to retain for each search query.

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

Two-letter Google Play country code used for public localization.

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

Language hint used for public Google Play localization.

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

Fetch each public app detail page for ratings, installs, pricing and other fields.

## `includeSimilarApps` (type: `boolean`):

Kept null unless a stable public signal is available; no inferred relationships are created.

## Actor input object example

```json
{
  "searchQueries": [
    "budget planner"
  ],
  "apps": [],
  "maxResultsPerQuery": 25,
  "country": "us",
  "language": "en",
  "includeAppDetails": true,
  "includeSimilarApps": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `output` (type: `string`):

No description

## `report` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("azzarilabs/google-play-apps-aso-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("azzarilabs/google-play-apps-aso-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 azzarilabs/google-play-apps-aso-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,azzarilabs/google-play-apps-aso-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/BOMBhJWl2HAGINWFC/builds/la1142N2AiGgozQb9/openapi.json