Shopify Store Scraper - Products, Variants & Prices

Scrape any Shopify store's full catalogue in bulk. Extract product title, vendor, type, tags, images and every variant with SKU, price, compare-at price and stock status to CSV/JSON. No API key, no login.

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What does the Shopify Scraper do?

This Actor turns Shopify data into a structured dataset. You point it at one store, every variant or several stores, one row per product, it walks the result pages one after another, and it writes one clean row per product variant into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

Every Shopify storefront publishes its catalogue at /products.json, a paginated public feed the platform serves by design. The Actor reads that feed directly at 250 products per request, so there is no HTML parsing to break when a merchant changes theme, and the data arrives exactly as the store's own storefront sees it. Pagination is followed automatically until it runs out of results, hits your page limit or hits your Max items cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same product variant.

There is no API key, no login and no browser involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

Who is it for?

• Price-monitoring and repricing teams tracking competitor catalogues daily.
• Dropshippers and retail buyers researching what a supplier actually stocks.
• Agencies and consultants auditing a client's or prospect's catalogue.
• Market researchers sizing an assortment by vendor, type or price band.
• Developers syncing a storefront catalogue into a database or feed.

Use cases

• Export a competitor's entire catalogue and watch prices move week over week.
• Find which variants are out of stock to spot demand and supply gaps.
• Compare compare-at price against price to measure real discount depth.
• Build a supplier catalogue with SKUs ready for import elsewhere.
• Audit how many products a store lists per vendor or product type.

Why use this Shopify Scraper?

• 🔑 Keyless — no account, no API token, no cookies to paste.
• 📦 25 fields per product variant — everything the source exposes, already typed.
• 📄 Real pagination — it walks page after page instead of returning the first screen.
• 🎯 Precise caps — Max items stops the run exactly where you want it, so the bill is predictable.
• 📊 Export anywhere — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
• 💸 Pay per result — you pay for rows you actually receive, with no platform fees to calculate.

What data can you extract?

Every run produces one row per product variant, with these fields:

Field	Type	Description
storeDomain	string	Domain of the Shopify store this row came from
productId	string	Shopify product ID
title	string	Product title
handle	string	URL handle of the product
productUrl	string	Direct link to the product page
vendor	string	Vendor or brand as set by the merchant
productType	string	Product type as set by the merchant
tags	string	Product tags, separated by a pipe
publishedAt	string	ISO timestamp the product was published
updatedAt	string	ISO timestamp of the last product update
description	string	Product description with HTML stripped
imageUrl	string	First product image URL
imageCount	number	Number of images on the product
variantId	string	Shopify variant ID
variantTitle	string	Variant title, e.g. Black / Large
sku	string	Merchant SKU for the variant
price	number	Current variant price in the store's currency
compareAtPrice	number	Compare-at price when the merchant set one
onSale	boolean	Whether compare-at price is above the current price
available	boolean	Whether the variant is purchasable right now
grams	number	Variant shipping weight in grams
optionValues	string	Variant option values, separated by a pipe
variantCount	number	Total variants on the parent product
page	number	Feed page the product appeared on
scrapedAt	string	ISO timestamp of extraction

Output example

{
  "available": true,
  "compareAtPrice": null,
  "description": "Designed to move with you, the Everyday Holdall is built from durable ripstop fabric with a padded shoulder strap\u2026",
  "grams": 0,
  "handle": "gymshark-everyday-holdall-medium-black",
  "imageCount": 5,
  "imageUrl": "https://cdn.shopify.com/s/files/1/0098/8822/products/EverydayHoldallMedium-Black.jpg",
  "onSale": false,
  "optionValues": "One Size",
  "page": 1,
  "price": 54,
  "productId": "6805093875914",
  "productType": "Bags",
  "productUrl": "https://gymshark.com/products/gymshark-everyday-holdall-medium-black",
  "scrapedAt": "2026-09-18T09:12:41.508Z",
  "sku": "I3A2H-BBBB-OS",
  "storeDomain": "gymshark.com",
  "tags": "Accessories | Bags | Black",
  "title": "Gymshark Everyday Holdall Medium - Black",
  "updatedAt": "2026-09-15T04:11:02-07:00",
  "publishedAt": "2026-02-10T03:21:43-08:00",
  "variantCount": 1,
  "variantId": "40031122489418",
  "variantTitle": "One Size",
  "vendor": "Gymshark"
}

How to use

Option A — one store, every variant

{
  "maxItems": 2000,
  "maxPagesPerStore": 10,
  "storeUrls": [
    "https://gymshark.com"
  ]
}

1. Open the Actor and fill in the first field.
2. Set the page limit and Max items to bound the run.
3. Click Start, then export from the Output tab.

Option B — several stores, one row per product

{
  "maxItems": 2000,
  "maxPagesPerStore": 10,
  "oneRowPerProduct": true,
  "storeUrls": [
    "https://gymshark.com",
    "https://www.allbirds.com"
  ]
}

Everything in the first field is processed independently, so you can batch several targets into one run and split them apart afterwards.

Input parameters

Parameter	Type	Default	Description
storeUrls	array	–	Home pages of the Shopify stores to scrape, e.
oneRowPerProduct	boolean	false	Write a single summary row per product instead of one row per variant.
maxPagesPerStore	integer	5	How many result pages to walk for each store.
maxItems	integer	500	Stop after this many rows.
maxConcurrency	integer	2	Parallel requests.
proxyConfiguration	object	{"useApifyProxy": true}	Proxy used to fetch pages.

Tips for best results

• Paste the store's home page — the Actor appends /products.json for you.
• The feed returns 250 products per page, so a 10-page run covers 2,500 products.
• One row per variant is the default because price and stock live on the variant, not the product.
• Switch on One row per product when you want a catalogue overview rather than SKU-level detail.
• compareAtPrice above price is how Shopify marks a discount — onSale does that comparison for you.
• available reflects the storefront at fetch time; schedule runs to build a stock history.
• The feed hides unpublished and password-protected products, so a private store returns nothing.
• A handful of stores disable the feed; those return no rows and the log says so explicitly.
• Prices have no currency code in the feed — currency is a store-level setting, check the storefront.
• Run several stores in one job and use storeDomain to split them apart afterwards.

Integrations

Send results straight into the tools you already use: Google Sheets, Slack, Zapier, Make, Airtable or any Webhook. You can also schedule the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

API usage

Run the Actor and collect results from any language. Replace <YOUR_TOKEN> with your Apify API token.

cURL

curl -X POST "https://api.apify.com/v2/acts/logiover~shopify-store-product-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 2000, "maxPagesPerStore": 10, "storeUrls": ["https://gymshark.com"]}'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/shopify-store-product-scraper').call({"maxItems": 2000, "maxPagesPerStore": 10, "storeUrls": ["https://gymshark.com"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/shopify-store-product-scraper').call(run_input={"maxItems": 2000, "maxPagesPerStore": 10, "storeUrls": ["https://gymshark.com"]})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at https://mcp.apify.com and it can run the Shopify Scraper on demand — for example: "Pull the first 500 product variants from Shopify and summarise what you find." The agent receives the same structured rows you would get from the UI.

FAQ

Do I need a Shopify account or API key?

No. The Actor reads publicly available data only. There is nothing to authenticate and no credentials to rotate.

How many product variants can I get in one run?

As many as the source exposes. Raise the page limit and Max items together; the run stops at whichever limit it reaches first.

Why did I get fewer rows than I asked for?

The source ran out of product variants. That is normal for narrow searches — broaden the query or add more targets to one run.

Are results de-duplicated?

Yes. Each product variant is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

Why are some fields empty?

Shopify does not publish every attribute for every product variant. Empty means the source did not supply it, not that extraction failed.

What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the Output tab, plus the Apify API and any integration you connect.

How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise Max concurrency carefully — the source rate-limits aggressive crawling.

Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in Proxy configuration.

How often does the data change?

Shopify updates continuously. Re-run whenever you need current data; the Actor always reads the live source, never a cache.

Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

What if the source changes its format?

Open an issue on the Issues tab and it gets fixed. The Actor is actively maintained.

Is it legal?

This Actor reads only publicly available data from Shopify — the same content any visitor or client sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

Related scrapers

• WooCommerce Store Scraper — The other major storefront platform
• Amazon Product Scraper — Marketplace pricing
• Website Tech Stack Detector — Check which platform a site runs
• Website Contact Scraper — Enrich a store domain with contacts