# Shopify App Monetization Intelligence API (`moneybug/shopify-app-monetization-intelligence`) Actor

Analyze Shopify App Store monetization models: recurring plans, usage billing, percentage fees, billing metrics, confidence, evidence, and canonical fingerprints.

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

## Pricing

from $30.00 / 1,000 monetization profiles

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

## Shopify App Monetization Intelligence API

Turn Shopify App Store pricing into evidence-backed monetization fingerprints for competitive research, app sourcing, M\&A screening, and AI agents.

No pricing evidence = no profile charge. Missing metrics stay unknown — never guessed.

Analyze Shopify App Store monetization models: recurring plans, usage billing, percentage fees, billing metrics, confidence, evidence, and canonical fingerprints.

### Use cases

- Competitive research
- Shopify app market mapping
- M\&A / app sourcing screening
- SaaS monetization research
- AI-agent enrichment
- Bulk app analysis

### Input

Analyze one public Shopify App Store URL with `url`, or multiple URLs with `urls`.

```json
{
  "url": "https://apps.shopify.com/kameleonai"
}
```

### Output

Each evidence-backed result includes the normalized pricing structure and a canonical `monetizationFingerprint`. Missing values stay `unknown` or `null`; they are never guessed.

### Pricing

The Pay-per-Event price is **$0.03 per successful monetization profile**. Failed fetches, invalid URLs, and pages without monetization evidence do not trigger a profile charge.

The synthetic Actor Start event remains enabled at Apify’s default price. Default Dataset Item charging and separate platform-usage billing are disabled.

### API and CLI

```bash
npm run analyze -- "https://apps.shopify.com/kameleonai"
npm start
```

API endpoints: `GET /health` and `POST /analyze`.

No secrets, database, paid AI API, proxy, or Standby server are required.

# Actor input Schema

## `url` (type: `string`):

One public Shopify App Store listing URL.

## `urls` (type: `array`):

One or more public Shopify App Store listing URLs.

## Actor input object example

```json
{
  "url": "https://apps.shopify.com/kameleonai"
}
```

# Actor output Schema

## `profiles` (type: `string`):

No description

## `unbilledResults` (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 = {
    "url": "https://apps.shopify.com/kameleonai"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moneybug/shopify-app-monetization-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 = { "url": "https://apps.shopify.com/kameleonai" }

# Run the Actor and wait for it to finish
run = client.actor("moneybug/shopify-app-monetization-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 '{
  "url": "https://apps.shopify.com/kameleonai"
}' |
apify call moneybug/shopify-app-monetization-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moneybug/shopify-app-monetization-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/c7gEOgKCVse1eKdPp/builds/tpBrGdshCV85c8kt9/openapi.json