# Shopify Catalog Export (`refreshing_travertine/shopify-catalog-export`) Actor

Exports structured product data from public Shopify storefronts via their standard products.json endpoint. Respects robots.txt on every domain.

- **URL**: https://apify.com/refreshing\_travertine/shopify-catalog-export.md
- **Developed by:** [Andrew Harris](https://apify.com/refreshing_travertine) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 store catalog exporteds

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 Catalog Export

Exports structured product data (title, vendor, category, price, availability,
images, tags) from public Shopify storefronts via their standard
`products.json` endpoint — the same public API that AI shopping agents and
comparison tools already use.

### What it does

Give it a list of store domains. For each one it:

1. Checks `robots.txt` first. If `/products.json` is disallowed, the store is
   skipped and reported — never bypassed.
2. Fetches the public product feed.
3. Writes one dataset row per product: id, title, vendor, category, handle/URL,
   price, compare-at price, availability, variant count, image count, tags,
   created date.

Domains that are skipped (robots-disallowed, unreachable, or not a live
Shopify store) get a `status: skipped` row with the reason, and aren't charged.

### Status

**Not yet deployed to Apify Store.** Code is written and structured to Apify's
Python actor conventions, and the underlying fetch/robots-check logic is the
same code this project ran against 377 real stores during an earlier research
pass — but this specific actor packaging hasn't been built or run on the
Apify platform yet. Treat it as ready-to-deploy, not yet verified end-to-end
in that environment.

### Pricing model

Pay-per-event: one `store-exported` charge per domain that successfully
returns product data. Skipped domains aren't charged. Exact price per event
gets set in the Apify Console at publish time, not in code.

# Actor input Schema

## `domains` (type: `array`):

List of Shopify store domains to export, e.g. examplestore.com (no https://, no trailing slash). Each store is checked against robots.txt before being fetched.

## `maxProductsPerStore` (type: `integer`):

Upper bound on products fetched per store in a single request (Shopify's own cap is 250 per page).

## Actor input object example

```json
{
  "domains": [
    "shop.example.com"
  ],
  "maxProductsPerStore": 250
}
```

# Actor output Schema

## `products` (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 = {
    "domains": [
        "shop.example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("refreshing_travertine/shopify-catalog-export").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 = { "domains": ["shop.example.com"] }

# Run the Actor and wait for it to finish
run = client.actor("refreshing_travertine/shopify-catalog-export").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 '{
  "domains": [
    "shop.example.com"
  ]
}' |
apify call refreshing_travertine/shopify-catalog-export --silent --output-dataset

```

## MCP server setup

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

```

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/lhFelS7Yv657iAohv/builds/zE76UxhEa7NuYDcU9/openapi.json