# Shopify Product Scraper (`streaked_patty/shopify-products-api`) Actor

Scrapes products from any Shopify store via their products.json API. Extracts: title, price, compare\_at\_price, variants, images, vendor, tags, inventory, and more. No anti-bot protection — works with ALL Shopify stores.

- **URL**: https://apify.com/streaked\_patty/shopify-products-api.md
- **Developed by:** [L A](https://apify.com/streaked_patty) (community)
- **Categories:** E-commerce, Integrations, Agents
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0001 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

### Python Crawlee with Playwright template

A template for [web scraping](https://apify.com/web-scraping) data from websites starting from provided URLs using Python. The starting URLs are passed through the Actor's input schema, defined by the [input schema](https://docs.apify.com/platform/actors/development/input-schema). The template uses [Crawlee for Python](https://crawlee.dev/python) for efficient web crawling, making requests via headless browser managed by [Playwright](https://playwright.dev/python/), and handling each request through a user-defined handler that uses [Playwright](https://playwright.dev/python/) API to extract data from the page. Enqueued URLs are managed in the [request queue](https://crawlee.dev/python/api/class/RequestQueue), and the extracted data is saved in a [dataset](https://crawlee.dev/python/api/class/Dataset) for easy access.

### Included features

- **[Apify SDK](https://docs.apify.com/sdk/python/)** - a toolkit for building Apify [Actors](https://apify.com/actors) in Python.
- **[Crawlee for Python](https://crawlee.dev/python/)** - a web scraping and browser automation library.
- **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and validate a schema for your Actor's input.
- **[Request queue](https://crawlee.dev/python/api/class/RequestQueue)** - manage the URLs you want to scrape in a queue.
- **[Dataset](https://crawlee.dev/python/api/class/Dataset)** - store and access structured data extracted from web pages.
- **[Playwright](https://playwright.dev/python/)** - a library for managing headless browsers.

### Resources

- [Video introduction to Python SDK](https://www.youtube.com/watch?v=C8DmvJQS3jk)
- [Webinar introducing to Crawlee for Python](https://www.youtube.com/live/ip8Ii0eLfRY)
- [Apify Python SDK documentation](https://docs.apify.com/sdk/python/)
- [Crawlee for Python documentation](https://crawlee.dev/python/docs/quick-start)
- [Python tutorials in Academy](https://docs.apify.com/academy/python)
- [Integration with Make, GitHub, Zapier, Google Drive, and other apps](https://apify.com/integrations)
- [Video guide on getting scraped data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM)
- A short guide on how to build web scrapers using code templates:

[web scraper template](https://www.youtube.com/watch?v=u-i-Korzf8w)

### Getting started

For complete information [see this article](https://docs.apify.com/platform/actors/development#build-actor-locally). To run the Actor use the following command:

```bash
apify run
```

### Deploy to Apify

#### Connect Git repository to Apify

If you've created a Git repository for the project, you can easily connect to Apify:

1. Go to [Actor creation page](https://console.apify.com/actors/new)
2. Click on **Link Git Repository** button

#### Push project on your local machine to Apify

You can also deploy the project on your local machine to Apify without the need for the Git repository.

1. Log in to Apify. You will need to provide your [Apify API Token](https://console.apify.com/account/integrations) to complete this action.

   ```bash
   apify login
   ```

2. Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under [Actors -> My Actors](https://console.apify.com/actors?tab=my).

   ```bash
   apify push
   ```

### Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

- [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js)
- [Apify SDK for Python documentation](https://docs.apify.com/sdk/python)
- [Apify Platform documentation](https://docs.apify.com/platform)
- [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU)

# Actor input Schema

## `shop_domain` (type: `string`):

Domain of the Shopify store (e.g., 'example.com' or 'example.myshopify.com')

## `max_products` (type: `integer`):

Maximum number of products to scrape

## `products_per_page` (type: `integer`):

Number of products per API request (max 250)

## Actor input object example

```json
{
  "shop_domain": "example.myshopify.com",
  "max_products": 50,
  "products_per_page": 50
}
```

# Actor output Schema

## `results` (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 = {
    "shop_domain": "example.myshopify.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("streaked_patty/shopify-products-api").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 = { "shop_domain": "example.myshopify.com" }

# Run the Actor and wait for it to finish
run = client.actor("streaked_patty/shopify-products-api").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 '{
  "shop_domain": "example.myshopify.com"
}' |
apify call streaked_patty/shopify-products-api --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WNZUuztdH0EHT2Wj7/builds/aXM934pBidokPBYW1/openapi.json