# Shopify Appcategory Spider (`getdataforme/shopify-appcategory-spider`) Actor

The Shopify Appcategory Spider is an Apify Actor that scrapes detailed data from Shopify app categories, including app names, URLs, icons, ratings, reviews, and pricing....

- **URL**: https://apify.com/getdataforme/shopify-appcategory-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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

## Shopify Appcategory Spider

### Introduction

The Shopify Appcategory Spider is a powerful Apify Actor designed to scrape detailed information from Shopify app categories. This tool is ideal for businesses and researchers looking to gather comprehensive data on Shopify apps, including ratings, reviews, and pricing.

### Features

- **Comprehensive Data Extraction**: Scrapes detailed app information including name, URL, icon, rating, reviews count, and pricing.
- **High Data Quality**: Ensures accurate and up-to-date information from Shopify app categories.
- **Efficient Performance**: Optimized for fast and reliable data collection.
- **User-Friendly Configuration**: Simple input setup with URL list for targeted scraping.
- **Scalable**: Handles multiple URLs and large datasets efficiently.
- **Automated Data Collection**: Reduces manual effort and time spent on data gathering.
- **Customizable Output**: Export results in various formats like JSON, CSV, and Excel.

### Input Parameters

| Parameter | Type   | Required | Description                                      | Example                                                                 |
|-----------|--------|----------|--------------------------------------------------|-------------------------------------------------------------------------|
| Urls      | Array  | No       | The URLs for the spider to scrape.               | `["https://apps.shopify.com/categories/finding-products-sourcing-options-wholesale/all?surface_detail=finding-products&surface_type=category"]` |

### Example Usage

#### Example Input JSON

```json
{
  "Urls": [
    "https://apps.shopify.com/categories/finding-products-sourcing-options-wholesale/all?surface_detail=finding-products&surface_type=category"
  ]
}
```

#### Example Output JSON

```json
[
  {
    "handle": "faire-buy-wholesale",
    "name": "Faire: Buy Wholesale",
    "app_url": "https://apps.shopify.com/faire-buy-wholesale?surface_detail=finding-products-sourcing-options-wholesale&surface_inter_position=1&surface_intra_position=1&surface_type=category&surface_version=redesign",
    "icon_url": "https://cdn.shopify.com/app-store/listing_images/3027fee349f910fa600626b91d475c3a/icon/CP7kgOqJ__sCEAE=.png",
    "rating": "4.9",
    "reviews_count": "973",
    "pricing_text": "Free",
    "position": "1",
    "page": "1",
    "actor_id": "tk6nzgC27blL5DYMi",
    "run_id": "z3412X5w8k4W7BfyN"
  }
]
```

### Use Cases

- **Market Research and Analysis**: Gather insights on app popularity and trends.
- **Competitive Intelligence**: Monitor competitor app offerings and performance.
- **Price Monitoring**: Track app pricing changes over time.
- **Content Aggregation**: Collect app data for content creation and aggregation.
- **Academic Research**: Analyze app data for research purposes.
- **Business Automation**: Automate data collection for business processes.

### Installation and Usage

```
1. Search for "Shopify Appcategory Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)
```

### Output Format

The output is a JSON array where each object contains:

- **handle**: Unique identifier for the app.
- **name**: Name of the app.
- **app\_url**: Direct URL to the app on Shopify.
- **icon\_url**: URL to the app's icon.
- **rating**: Average user rating.
- **reviews\_count**: Number of user reviews.
- **pricing\_text**: Pricing information.
- **position**: Position in the category.
- **page**: Page number in the category.
- **actor\_id**: Unique ID of the actor run.
- **run\_id**: Unique ID of the specific run.

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## Actor input object example

```json
{
  "Urls": [
    "https://apps.shopify.com/categories/finding-products-sourcing-options-wholesale/all?surface_detail=finding-products&surface_type=category"
  ]
}
```

# 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("getdataforme/shopify-appcategory-spider").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("getdataforme/shopify-appcategory-spider").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 getdataforme/shopify-appcategory-spider --silent --output-dataset

```

## MCP server setup

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

```

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/tk6nzgC27blL5DYMi/builds/eL0VnJhG6Zwirs4RG/openapi.json