Shopify Store Analyzer & Report: catalogue, prices, stock
Pricing
from $2.28 / 1,000 store reporteds
Shopify Store Analyzer & Report: catalogue, prices, stock
One report per Shopify store, up to 200 stores per run: catalogue size, price range and average, currency, share in stock, share on sale, product types, brands, newest and oldest product, plus ranked signals such as a stale catalogue or heavy discounting. Pay per delivered report.
Pricing
from $2.28 / 1,000 store reporteds
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Steadydata Team
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2 days ago
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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.jsonand/meta.jsonfor apps and integrations; that is what this actor reads. No key, no login, no browser, nothing to rank. Every store's ownrobots.txtis 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 asmostly-out-of-stock, heavy-discounting, next to a store thatadded-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
maxProductsScannedis yours to raise to 2,500.hasMoreProductsand thecatalogue-larger-than-scannedsignal tell you when the numbers describe a sample rather than the whole shop. - Some sites refuse datacenter traffic altogether. Those come back as
BLOCKEDafter every proxy exit has been tried, which is honest but less specific thanNOT_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 fields
| Field | Type | Required or default | What it does |
|---|---|---|---|
stores | list of text | required | Store addresses, one per row, up to 200. A domain such as gymshark.com or any URL on the store; the store's own robots.txt is checked before anything is read. |
maxProductsScanned | number | 250 | Cost and speed lever. 250 products is one page, about 1.7 MB and 2.5 seconds. Raise it for a full catalogue on large stores; the report says whether more products exist than were scanned. |
sampleSize | number | 5 | How many of the newest product titles to include, 0 to leave them out. |
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
| Field | Type | What it holds | Example |
|---|---|---|---|
store | text | The shop this row was read from. | deathwishcoffee.com |
shopName | text | The shop's own name; empty when the shop publishes none. | Death Wish Coffee |
country | text | The country the shop states for itself; empty when it states none. | US |
currency | text | The currency the prices are in, as the shop itself states. | USD |
isShopify | true/false | False means the domain answered but is not a Shopify shop, so the rest of the row stays empty. | True |
productsScanned | number | How many products this report is based on. Compare it with hasMoreProducts before reading the averages as the whole shop. | 146 |
hasMoreProducts | true/false | True when the shop has more products than maxProductsScanned, so the figures are based on a part of the catalogue. | False |
variantCount | number | How many variants the catalogue holds in total, which is a truer measure of size than the product count. | 423 |
priceMin | number | The lowest price in the shop's catalogue. | 5.99 |
priceMax | number | The highest price in the shop's catalogue. | 90 |
priceAverage | number | The average price over the whole catalogue, the quickest measure of where a shop sits. | 29.37 |
priceMedian | number | The middle price, which says more about a shop than the average when a few expensive items pull it up. | 29.98 |
inStockShare | number | The share of scanned products with at least one variant in stock. | 0.979 |
onSaleShare | number | The share of scanned products with a crossed-out price higher than the asking price. | 0.158 |
averageDiscountPercent | number | Filled when at least one product is on sale; empty when none are. | 33.7 |
topProductTypes | list | The most common product types in what was scanned; empty when the shop fills in none. | ["Apparel", "Coffee"] |
topVendors | list | The most common vendors in what was scanned; empty when the shop fills in none. | ["Death Wish Coffee Company", "Death Wish Coffee"] |
newestProductAt | text | When the newest scanned product was added; together with oldestProductAt it shows how active the shop is. | 2026-09-25T12:48:06Z |
oldestProductAt | text | When the oldest scanned product was added. | 2014-03-12T17:35:00Z |
newestProductTitles | list | A sample of the most recently added products, as many as sampleSize. | ["White Chocolate Pistachio Klean Kanteen (20oz)", "White... |
signals | list | What the numbers mean in words, for example an unusually high share on sale. Empty when nothing stood out. | ["added-products-this-week"] |
signalCount | number | How many of those signals were found; zero means nothing stood out. | 1 |
robotsRule | text | The robots.txt rule that decided whether the shop could be read, so the choice can be checked. | allow / |
{"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: 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.
Reviews: if this actor saves you time, a short review on this page is the one thing that helps most. Ratings are what other buyers look at first, and we have no other way to ask.
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.
Can I call it from my own code, like an API? Yes. Every run is available through the Apify API: start it with one HTTP request, then read the results as JSON, CSV or Excel from the dataset endpoint, or use the official Python and JavaScript clients. The input is the same JSON as in the input example above, so a scheduled script, a Make or Zapier step or an AI agent can call it without any changes.