# Shopify Store Products Scraper (`kawsar/shopify-store-products-scraper`) Actor

Extract any Shopify store catalog into a clean dataset. Collect titles, vendors, tags, variants, and images instantly, then export your data to JSON, CSV, or Excel with ease.

- **URL**: https://apify.com/kawsar/shopify-store-products-scraper.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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 Store Products Scraper

![Shopify Store Products Scraper (any store) cover](https://images.bigibyte.com/cdn-cgi/image/width=1260,height=540,fit=cover,format=webp/apify-actors-covers/shopify-store-products-scraper-cover.png)

Welcome to the Shopify Store Products Scraper. Whether you are conducting market research, tracking competitor pricing, analyzing emerging retail trends, or populating your own database, this tool makes data collection effortless. Simply provide a target store URL, specify your item limit, and export clean, structured datasets in JSON, CSV, Excel, or other preferred formats without needing any special setup or credentials.

### What it does

This actor systematically navigates through a store's public catalog page by page, extracting detailed product records so you can examine titles, unique handles, brand vendors, descriptive tags, variant details, and high-resolution image links all in one centralized file.

### Operating Mode

- **All products**: Walks through the store catalog sequentially from start to finish, harvesting items until it reaches your specified maximum item limit.

### Input Example

```json
{
  "mode": "products",
  "storeUrls": ["https://www.allbirds.com"],
  "flattenVariants": false,
  "maxItems": 50,
  "requestDelaySecs": 1
}

```

### Output Example

```json
{
  "productId": 7235869147216,
  "productTitle": "Men's Cruiser Terry - Warm White (Warm White Sole)",
  "handle": "mens-cruiser-terry",
  "bodyHtml": "",
  "publishedAt": "2026-09-25T16:58:07-07:00",
  "createdAt": "2025-10-29T17:38:25-07:00",
  "updatedAt": "2026-10-11T22:21:17-07:00",
  "vendor": "Allbirds",
  "productType": "Shoes",
  "tags": ["Shoes"],
  "variants": [],
  "images": [],
  "options": [],
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}

```

The summary dataset cleanly organizes key fields including `productId`, `productTitle`, `handle`, `vendor`, `productType`, `publishedAt`, `createdAt`, `updatedAt`.

### Frequently Asked Questions

**Who is this tool for?**

E-commerce analysts, digital marketers, retail researchers, and developers who need structured Shopify product catalogs delivered straight into spreadsheets or custom datasets.

**What export formats are supported?**

You can export your collected data in JSON, CSV, Excel, XML, and RSS feeds through Apify's built-in download options.

**Can I automate runs on a regular schedule?**

Yes! You can configure Apify schedules to run this actor at your preferred intervals, ensuring your product datasets stay fresh and up-to-date.

**How does the actor handle unresponsive or failing stores?**

If a particular store URL runs into issues or fails to respond, the actor gracefully logs an error entry for that specific target and continues processing the rest of your run without crashing.

**What does "flatten variants" do?**

When enabled, the actor outputs one separate dataset row per individual product variant rather than condensing everything into a single row per product, giving you granular control over variant-level pricing and options.

### Trademark Notice

Shopify and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the source of the data and does not imply affiliation, sponsorship, endorsement, or partnership.

### Disclaimer

This Actor is an independent utility and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with Shopify or its creators. All data collected originates from publicly accessible storefront resources. Users assume full responsibility for complying with applicable terms of service, rate limits, and local data protection regulations.

### Is web scraping legal?

This actor extracts publicly accessible data without bypassing login screens, paywalls, or technical security layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

- **Personal data**: When collecting identifiers like customer emails, phone numbers, or social handles, ensure strict compliance with applicable privacy laws such as GDPR or CCPA.
- **Copyrighted content**: Public text, descriptions, and media assets may be protected by intellectual property rights. Avoid directly duplicating or redistributing full creative works.
- **Platform terms & rate limits**: Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to sensible rate limits, and respecting published platform policies.
- **Disclaimer**: This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.

For a detailed guide, see Apify's legal overview: [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `mode` (type: `string`):

What to scrape. All products pages through the store catalog.

## `storeUrls` (type: `array`):

Shopify store base URLs. One URL per line.

## `flattenVariants` (type: `boolean`):

When enabled, emit one row per variant instead of one row per product.

## `maxItems` (type: `integer`):

Stop after this many successful rows. Hard max is 1000.

## `requestDelaySecs` (type: `number`):

Seconds to wait between requests.

## `userAgent` (type: `string`):

User-Agent header sent with each request.

## `timeoutSecs` (type: `integer`):

Overall run budget in seconds.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

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

Optional proxy. Leave off unless you need it.

## Actor input object example

```json
{
  "mode": "products",
  "storeUrls": [
    "https://www.allbirds.com"
  ],
  "flattenVariants": false,
  "maxItems": 100,
  "requestDelaySecs": 1,
  "userAgent": "ActorResearch/1.0",
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Dataset rows in the overview table.

## `dataset` (type: `string`):

Full dataset for this run.

## `items` (type: `string`):

Dataset items as JSON.

# 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 = {
    "storeUrls": [
        "https://www.allbirds.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/shopify-store-products-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 = { "storeUrls": ["https://www.allbirds.com"] }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/shopify-store-products-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 '{
  "storeUrls": [
    "https://www.allbirds.com"
  ]
}' |
apify call kawsar/shopify-store-products-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/shopify-store-products-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/9SycXDSNaQy0vKf3S/builds/fBIkgTzVQ4hJxr1oD/openapi.json