Shopify Products Scraper

Shopify Products Scraper: the whole catalog of any Shopify store

Give it a store URL and get one row per product: title, handle, link, vendor, product type, tags, description, lowest and highest price, stock flag, and every variant with its own SKU, price, compare-at price and availability, plus the image URLs.

It reads the catalog feed every Shopify store publishes, so there is nothing to apply for and no key to hold. The limit worth knowing up front: it returns published products only, and inventory counts are not in that feed. You get a yes or no on stock, never a number.

📦 What Shopify Products Scraper does

Paste stores, one per line. A bare domain, a full URL, or any page on the store: each one is reduced to the store itself and the catalog is walked from the top, 250 products at a time, until it runs out or hits your cap.

If a store answers on www but not on the bare domain, or the other way round, both are tried before it gives up.

Optional Notion delivery. Pick a Notion connector and every product is also written as a page into your workspace when the run finishes. Leave it empty and nothing changes; the dataset is always written either way.

📥 What you give it

{
  "storeUrls": ["https://www.gymshark.com", "allbirds.com"],
  "maxItems": 1000
}

Leave the store box empty and you get one BAD_INPUT row, uncharged, telling you so.

Sorting is a paid option. Shopify serves its catalog in the store's own order and won't sort it on request. So to sort, the run reads up to 10,000 products of each store, keeps the first ones by your order, up to maxItems, and leaves the rest out. Cheapest and dearest go by the lowest and highest variant price, newest by when the product was created. Products returned are charged as usual, and each product read and left out is billed as a checked product: see the Pricing tab.

📤 What you get back

A real product row from a recent run. The tags, description and images are all cut short here.

{
  "ok": true,
  "store": "https://gymshark.com",
  "productId": "6806502867146",
  "title": "Gymshark Diffuse Sweat Headwrap - Black",
  "handle": "gymshark-diffuse-sweat-headwrap-headwear",
  "url": "https://gymshark.com/products/gymshark-diffuse-sweat-headwrap-headwear",
  "vendor": "Gymshark | Be a visionary.",
  "productType": "Unisex>Accessories>Headwear>headband",
  "tags": ["accessories", "category:Headwear", "feature:sweat-wicking", "filter-colour:Black", "outlet", "over-50-off", "season:SS26", "..."],
  "description": "A HEADWRAP THAT WORKS\nWe built the Diffuse Sweat Headwrap with the black community and all hair types in mind ...",
  "createdAt": "2026-01-09T04:26:28-08:00",
  "publishedAt": "2026-09-11T10:14:04-07:00",
  "priceMin": 26,
  "priceMax": 26,
  "available": true,
  "variantCount": 1,
  "variants": [
    {"title": "One Size", "sku": "I1C2W-BB2J-OS", "price": 26, "compareAtPrice": null, "available": true}
  ],
  "images": ["https://cdn.shopify.com/s/files/1/0156/6146/files/Diffuse_Sweat_Headwrap_GS_Black_I1C2W_BB2J_6.jpg?v=1789139459", "..."]
}

🧾 Reading the output

Two kinds of row can land in your dataset.

Diagnostic rows are never charged.

▶️ How to run it

1. Open Shopify Products Scraper and click Try for free. 2. Paste your stores into Shopify store URLs, one per line. 3. Set Max products per store to what you actually need. 4. Click Start. 5. Download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$1.00 per 1,000 products. Flat on every Apify plan, no volume tiers.

One row is one product, however many variants hang off it. Diagnostic rows are not charged, so a store that will not answer produces nothing to pay for.

A sort adds one charge of its own: each product it reads and leaves out is billed as a checked product. The Pricing tab has the figure. Without a sort, nothing changes.

One thing to watch: the store list is taken as written. List the same shop twice and it is read twice and charged twice, so deduplicate before you paste.

💡 What people use it for

• Pulling a competitor's full catalog with prices and SKUs, then diffing it weekly.
• Watching compareAtPrice against price to see when a store actually discounts.
• Spotting new arrivals by sorting on publishedAt.
• Building a supplier or dropshipping feed with images and variant SKUs already on the row.
• Checking which of your own products show as out of stock across regional storefronts.

🚧 What it does not do

• No inventory numbers. The public feed carries a stock flag, not a quantity. available is all

there is.

• Published products only. Drafts, archived products and anything hidden from the storefront are

not in the feed.

• A collection URL scrapes the whole store. Any page you paste is reduced to the store itself,

so /collections/sale returns the full catalog, not the sale.

• A store with the feed switched off comes back as NOT_SHOPIFY. Some shops turn it off, and

password-protected stores answer the same way, so the verdict is not always about the platform. triedHosts on the row shows what was attempted.

• A truncated catalog can look complete. If a store stops answering partway through, that store

ends quietly with the products it had. If a count looks short against what the shop shows, run it again.

• Prices are the store's own currency, as the feed publishes them. There is no conversion and no

currency field on the product row.

• Duplicate store URLs are not merged. Two entries for one shop means two passes.
• A sort covers at most 10,000 products per store. A bigger store is sorted on its first 10,000.

🧭 Which product scraper do you need?

❓ Questions people ask

Do I need a Shopify account or an API key? No. The catalog feed is public on every store that leaves it on.

Can I scrape just one collection? Not here. Whatever page you paste, the whole store is read. Filter on productType or tags afterwards.

How many products can one run take? As deep as the store goes. maxItems is your own cap, and it is also your spend cap.

Why do the tags look like nonsense? Because they are the store's internal labels. Big retailers put dates, buckets and workflow markers in there alongside the useful ones.

Can I get it into Notion automatically? Yes. Authorise a Notion connector in your Apify settings and pick it in Notion connector. The dataset is written either way.

Is scraping a Shopify catalog legal? These are public product listings. Apify's write-up on scraping and the law is a good place to start, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the store URL and the run ID. The errorCode and triedHosts on the diagnostic row usually name the problem on their own.