Shopify Store Products Scraper — every product, price, variant and stock status of any Shopify store

Get the full product list of any Shopify store as a clean table, one row per product: title, vendor, type, tags, price, compare-at price, sale flag, stock, all variants with SKU and price, images, and the dates the product was created and updated. Give it store domains or links. Export to CSV, JSON, Excel or Google Sheets. It reads the product list that Shopify stores share publicly, so it is fast and needs no login.

Who uses this: e-commerce teams watching competitors' prices, catalogs and new arrivals; dropshippers and resellers researching what sells; agencies preparing store audits; price-monitoring and repricing tools; analysts sizing a brand; AI agents that need current product data.

What you get per product

Field	What it is
store, storeName, currency	The store's domain, its name and its currency
productId, title, handle, url	Who the product is and its link
vendor, productType, tags, tagsText	Brand, type, and tags as a list and as one cell
description	The product description as plain text
price, priceMax	Lowest and highest variant price, as numbers
compareAtPrice, onSale	Lowest "compare at" price, and true if a variant is marked down
inStock, variantCount	true if any variant is available, and how many variants exist
variants	Every variant: id, title, sku, price, compareAtPrice, available
variant1Title, variant1Price (also 2 and 3)	The first three variants as plain columns, ready for a spreadsheet
optionNames	The option names, for example Size, Color
imageUrl, images, imageCount	The first image, all images, and how many
publishedAt, createdAt, updatedAt	Dates from the store
recordType, scrapedAt	product or collection, and when the row was collected

Turn on Also list the collections and you also get one free row per collection (recordType: collection) with title, link and product count.

Price

$0.01 per run + $1 per 1,000 products. That is two pay-per-event charges: actor-start ($0.01) once per run and result ($0.001) per product. Collection rows are free. No compute fees on top. The free Apify plan ($5 per month credit) covers about 4,900 products a month at no cost. A run that gets no products from any store is not charged.

How to use

1. Open the Input tab and add stores: the domain (allbirds.com) or the store link. A collection link such as https://www.allbirds.com/collections/mens scrapes only that collection.
2. Set Max products per store. This is also your cost cap.
3. Click Start. When it is done, open the Output tab and export the table as CSV, JSON or Excel, or send it to Google Sheets with Apify's Google Sheets integration.

Input examples

The first 500 products of a store:

{ "stores": ["allbirds.com"], "maxProducts": 500 }

Two stores, only one collection of each, plus the collection list:

{
    "stores": ["https://www.allbirds.com", "https://www.gymshark.com"],
    "collection": "new-arrivals",
    "maxProducts": 200,
    "includeCollections": true
}

A single collection by its link:

{ "stores": ["https://www.allbirds.com/collections/mens"], "maxProducts": 100 }

Output example

{
    "recordType": "product",
    "store": "allbirds.com",
    "storeName": "Allbirds",
    "currency": "USD",
    "productId": "7340901859408",
    "title": "Women's Allbirds Flip Flop - Dusty Pink",
    "handle": "womens-allbirds-flip-flop-dusty-pink",
    "url": "https://www.allbirds.com/products/womens-allbirds-flip-flop-dusty-pink",
    "vendor": "Allbirds",
    "productType": "Shoes",
    "tags": ["allbirds::gender => womens", "allbirds::material => sugar"],
    "description": "Sun on your feet. Comfort underneath. Light, easy, and made for warm weather, these flip flops ...",
    "price": 25,
    "priceMax": 25,
    "compareAtPrice": 50,
    "onSale": true,
    "inStock": false,
    "variantCount": 4,
    "variants": [
        { "id": 42146889039952, "title": "5", "sku": "A12513W050", "price": 25, "compareAtPrice": 50, "available": false },
        { "id": 42146889072720, "title": "6", "sku": "A12513W060", "price": 25, "compareAtPrice": 50, "available": false }
    ],
    "optionNames": ["Size"],
    "imageUrl": "https://cdn.shopify.com/s/files/1/1104/4168/files/A12513_26Q2_Allbirds-Flip-Flop-Dusty-Pink_PDP_LEFT.png?v=1774646345",
    "imageCount": 2,
    "publishedAt": "2026-09-25T16:58:13-07:00",
    "createdAt": "2026-03-27T14:03:50-07:00",
    "updatedAt": "2026-09-26T00:27:34-07:00",
    "variant1Title": "5",
    "variant1Price": 25,
    "variant2Title": "6",
    "variant2Price": 25,
    "scrapedAt": "2026-09-26T10:00:00.000Z"
}

The example is shortened: real rows list every tag, variant and image.

Limits

• The store must share its product list, which most Shopify stores do. A store that turns it off, protects it with a password, or blocks robots is skipped, and the run log says why.
• Prices are given as the store shows them, in the store's currency (currency).
• inStock and available show whether a variant can be bought. Shopify does not share the number of items in stock.
• The actor keeps to about 2 requests a second per run and retries with a pause. If a store answers 403, turn on Proxy.
• Only stores that run on Shopify work. Other shop systems do not have this product list.

FAQ

Can I watch a competitor's prices every day? Yes. Schedule the actor in Apify with the same stores and compare price and compareAtPrice by productId between runs. New products appear with a new productId and a recent createdAt.

How can I tell if a website runs on Shopify? Open their-domain.com/products.json in your browser. If you see product data, the actor will work.

Can I get only new arrivals? Use the collection input with the store's new-arrivals collection, or sort the table by createdAt.

Can an AI agent use it? Yes. It works through Apify's API and MCP server. Give it a store and a maxProducts limit.

Something is wrong. What now? Open an issue on the Issues tab with the store and the input you used. Field requests are welcome.

Changelog

• 0.1 First release: products, variants, prices, stock, images, dates, collections, flat spreadsheet columns, pay per event.