# Shopify Product Catalog Exporter (`glowing_glove/shopify-product-catalog-extractor`) Actor

Export public Shopify catalog data including product names, prices, variants, availability, images, currency, and product URLs.

- **URL**: https://apify.com/glowing\_glove/shopify-product-catalog-extractor.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** E-commerce, Automation, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $23.80 / 1,000 products

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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 Product Catalog Exporter

Export public Shopify catalog data including product names, prices, variants, availability, images, currency, and product URLs.

This Ushba actor is prepared for clean exports, predictable limits, and scheduled workflows. It focuses on useful rows instead of noisy scrape artifacts.

### What You Get

- product names, handles, descriptions, tags, product URLs, and image URLs
- variant IDs, variant names, prices, availability, currency, and inventory signals when exposed
- clean catalog rows for ecommerce research, enrichment, and competitive analysis

### Best For

- lead generation, research, monitoring, enrichment, and reporting workflows
- exporting clean rows to CSV, Excel, JSON, APIs, CRMs, or automation tools
- scheduled runs where predictable output and clear result limits matter

### How To Use

1. Add the public URLs, keywords, locations, handles, or settings required by the input form.
2. Set the result limit to match the number of rows you want to pay for.
3. Run the actor once for a sample, then schedule it if you need monitoring.
4. Export the dataset or connect it to your workflow through the Apify API or integrations.

### Output

The default dataset returns structured rows using the fields listed above. Empty, blocked, or failed targets are handled clearly so downstream tools can filter results without guessing.

### Notes

- Works with public data that the target website exposes during the run.
- Uses result caps and error handling to avoid runaway runs.
- Private, login-only, or heavily blocked pages may return fewer rows than requested.

# Actor input Schema

## `startUrls` (type: `array`):

Enter one or more Shopify store URLs (homepage URLs).

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

Number of product pages to fetch per store. Use 0 to scrape all pages.

## `maxProductsPerPage` (type: `integer`):

Maximum products to extract from each page. Use 0 to extract all products from each page.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.allbirds.com"
    }
  ],
  "maxPages": 0,
  "maxProductsPerPage": 0
}
```

# Actor output Schema

## `overview` (type: `string`):

Link to the dataset containing scraped Shopify products.

# 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("glowing_glove/shopify-product-catalog-extractor").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("glowing_glove/shopify-product-catalog-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 glowing_glove/shopify-product-catalog-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=glowing_glove/shopify-product-catalog-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xMn1NXkvkKFwPHZxl/builds/le5qZTBw1GOZJiTrP/openapi.json