Shopify Store Analyzer & Report: catalogue, prices, stock

One report per Shopify store, up to 200 stores per run: how big the catalogue is, what it costs, what is actually in stock, what is on sale, which brands and product types it sells, when the last product went live, and what those numbers mean in a short list of signals. You pay per delivered report.

Why this scraper

• It reads the store's own catalogue endpoint. Shopify publishes /products.json and /meta.json for apps and integrations; that is what this actor reads. No key, no login, no browser, nothing to rank. Every store's own robots.txt is checked first, and a store that forbids it is skipped free of charge.
• It ends with a conclusion, not a dump. Every report carries signals: a store with 12% of products in stock and half its catalogue marked down comes back as mostly-out-of-stock, heavy-discounting, next to a store that added-products-this-week. Scanning 200 competitors becomes a sort on one column.
• Prices and stock, measured over the whole catalogue. Cheapest, dearest, average and median price, the share in stock, the share on sale and the average discount, plus the top product types and brands. Measured on 14-09-2026 over six live stores: every one of those fields filled on 100% of the rows.
• No personal data, on purpose. The market leader in this niche sells store leads, which means e-mail addresses. This actor ships company information only: name, country and currency. The merchant's city and street are in the source and are deliberately left out.
• Only delivered reports are charged. A site that is not Shopify, a store with no public products, a typo in your list: free error records.

Who this is for

Competitor and market research in e-commerce. Agencies qualifying Shopify merchants before a pitch (catalogue size and staleness say more than a homepage). Brand owners checking which resellers still stock their products. Anyone tracking a list of stores over time and wanting to know which ones moved.

Who this is not for

Read this before you buy.

• Shopify only. Anything on WooCommerce, Magento, BigCommerce or a custom shop answers 404 and comes back as NOT_SHOPIFY, free. That is a feature of the route, not a bug: the data is this good precisely because Shopify publishes it in a fixed shape.
• One row per store, not one row per product. You get the catalogue summarised, plus the titles of the newest few products. If you need every product with every variant, this is the wrong tool.
• A big catalogue is scanned, not fully counted. 250 products is one page, about 1.7 MB and 2.5 seconds. Above that you pay in time, so maxProductsScanned is yours to raise to 2,500. hasMoreProducts and the catalogue-larger-than-scanned signal tell you when the numbers describe a sample rather than the whole shop.
• Some sites refuse datacenter traffic altogether. Those come back as BLOCKED after every proxy exit has been tried, which is honest but less specific than NOT_SHOPIFY: we cannot tell a blocked site from a non-Shopify one when nothing answers.
• Prices are list prices in the store's own currency. No tax handling, no currency conversion, and a price of zero (gift cards, placeholders) is ignored rather than counted as the cheapest product.

Input example

{
    "stores": [
        "gymshark.com",
        "allbirds.com",
        "https://kith.com/collections/mens",
        "deathwishcoffee.com"
    ],
    "maxProductsScanned": 250,
    "sampleSize": 3
}

A domain or any URL on the store both work; the address is reduced to the store itself.

Output example

{
    "store": "fashionnova.com",
    "shopName": "Fashion Nova",
    "country": "US",
    "currency": "USD",
    "isShopify": true,
    "productsScanned": 250,
    "hasMoreProducts": true,
    "variantCount": 1452,
    "priceMin": 3.0,
    "priceMax": 219.95,
    "priceAverage": 38.12,
    "priceMedian": 34.99,
    "inStockShare": 0.12,
    "onSaleShare": 0.68,
    "averageDiscountPercent": 47.5,
    "topProductTypes": ["Dresses", "Tops", "Jeans"],
    "topVendors": ["Fashion Nova"],
    "newestProductAt": "2026-09-14T09:12:44Z",
    "oldestProductAt": "2019-04-02T11:00:00Z",
    "newestProductTitles": ["Sequin Mini Dress", "Cargo Wide Leg Jean", "Ribbed Tank"],
    "signals": ["added-products-this-week", "mostly-out-of-stock", "heavy-discounting",
                "catalogue-larger-than-scanned", "single-brand-store"],
    "signalCount": 5,
    "robotsRule": "allow /",
    "status": "ok"
}

Error codes: INVALID_STORE, NOT_SHOPIFY, NO_PRODUCTS, ROBOTS_DISALLOWED, FETCH_FAILED, BLOCKED. None of them are charged. INPUT_TRUNCATED appears once when your input is longer than this actor accepts.

Related actors from steadydata

• shopify-products-catalog (publishing soon): every product of the same store instead of a summary
• woocommerce-store-report: the same report for WooCommerce stores
• website-tech-stack: confirm the platform and the rest of the stack
• google-shopping: how the products appear in Google Shopping

Pricing

Pay per event: one store-reported event per delivered report. No start fee, no separate platform-usage surcharge, and no charge for a store that cannot be read.

Free Apify plan: this actor delivers up to 25 rows per run for accounts on the Apify free plan, and then stops with a message. That limit is set by us, not by Apify. It exists so the actor keeps paying for itself for the people who do pay. Any paid Apify plan runs it at full size, billed per delivered row, with failed rows never charged.

FAQ

Which signals can a report carry? tiny-catalogue, stale-catalogue-over-a-year, no-new-products-90-days, added-products-this-week, mostly-out-of-stock, heavy-discounting, deep-discounts, catalogue-larger-than-scanned and single-brand-store. A store with no signals is simply a normal, healthy shop.

Why does deep-discounts not appear on a store with one half-price item? Because one clearance item says nothing about a shop. The signal needs both a deep average discount and at least 5% of the catalogue marked down.

How do I check a store list every week without paying for the full catalogue? Leave maxProductsScanned at 250. The signals that matter for a watch list, newest product, stock share and discount share, all come from that first page.

Is personal data collected? No. A shop's name, country and currency are company information. The merchant's city and province are present in the source and are deliberately not delivered, and there is no contact data anywhere in the output.

What happens when a store changes? Stores change, and so does Shopify. The actor is run against real stores daily and fixed fast, and while it is broken you are not charged, because only delivered reports cost anything.