# Shopify App Store Scraper (`getdataforme/shopify-app-store-scraper`) Actor

Quickly extract Shopify app metadata by keyword search. Scrape app names, links, ratings, reviews, pricing, icons, and Shopify certification from search results. Great for eCommerce market research and app discovery.

- **URL**: https://apify.com/getdataforme/shopify-app-store-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce
- **Features:** Full permissions
- **Stats:** 18 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Store Scraper

The **Shopify App Store Scraper** actor lets you automate the extraction of Shopify apps based on search keywords. It efficiently scrapes essential app listing metadata from search result pages such as app name, rating, review count, pricing, app link, and more.

Ideal for app market research, competitive analysis, and eCommerce intelligence — this actor helps you build structured datasets of Shopify apps with ease.

***

### 🧩 Features

- Search and scrape Shopify apps by keywords
- Collect app title, link, rating, and review count
- Extract pricing info and icons
- Detect “Built for Shopify” badge
- Fast, lightweight, and scalable

***

### 🛠 Input Example

```json
{
  "itemLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "queries": [
    "cart"
  ]
}
```

***

### 🧾 Output Example

```json
[
  {
    "query": "cart",
    "app_name": "UpCart—Cart Drawer Cart Upsell",
    "app_handle": "upcart-cart-builder",
    "icon_url": "https://cdn.shopify.com/app-store/listing_images/8cce16328fae7303f55e346b8a81ec07/icon/CJne28-9mIMDEAE=.png",
    "app_link": "https://apps.shopify.com/upcart-cart-builder?...",
    "rating": "4.8",
    "review_count": "698",
    "pricing": "Free plan available",
    "built_for_shopify": true
  }
]
```

***

### 🧠 Use Cases

- Discover Shopify apps in any category
- Compare ratings and reviews at scale
- Build Shopify app directories or widgets
- Track new app listings by keyword

***

### 📞 Support

For simplified output, custom features, or reporting issues:

📧 **<support@getdataforme.com>**
🌐 <https://getdataforme.com/contact/>

Let me know if you'd like a badge, changelog section, or how-to-run image included too!

# Actor input Schema

## `queries` (type: `array`):

A list of queries you want to scrape

## `itemLimit` (type: `integer`):

Specifies the maximum number of items to process.

## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "queries": [
    "linkedin"
  ],
  "itemLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "queries": [
        "linkedin"
    ],
    "itemLimit": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/shopify-app-store-scraper").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 = {
    "queries": ["linkedin"],
    "itemLimit": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/shopify-app-store-scraper").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 '{
  "queries": [
    "linkedin"
  ],
  "itemLimit": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call getdataforme/shopify-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/shopify-app-store-scraper"
        }
    }
}
```

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/20EMjYMYS9wVi5kCV/builds/c48pzqRqVaHJ56Yw2/openapi.json