WooCommerce Store Report: catalogue, prices, stock, reviews
Pricing
from $2.45 / 1,000 store reporteds
WooCommerce Store Report: catalogue, prices, stock, reviews
One report per WooCommerce store, up to 200 stores per run: the exact product count, price range and average, currency, share in stock, share on sale, categories, brands, average review rating, and ranked signals such as an empty catalogue or heavy discounting. Company data only, no personal data.
Pricing
from $2.45 / 1,000 store reporteds
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Steadydata Team
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One report per WooCommerce store, up to 200 stores per run: the exact number of products, the price range and average, the currency, how much is in stock, how much is on sale, the categories and brands it sells, the review rating over the catalogue, and a short list of signals that say what those numbers mean. You pay per delivered report.
Why this scraper
- The exact catalogue size, not an estimate. WooCommerce returns the total in the
X-WP-Totalheader, so a report can say "1,240 products, 100 scanned" instead of guessing from the page you happened to read. A Shopify catalogue cannot do that. - It reads the store's own Store API.
/wp-json/wc/store/v1/productsis the endpoint WooCommerce publishes for its own storefront blocks: no key, no login, no browser. The store's ownrobots.txtis checked first, and a store that forbids it is skipped free of charge. Measured on 14-09-2026: woocommerce.com itself forbids it, so it is skipped. - Prices are handled correctly. WooCommerce writes prices in minor units, so
"195"withcurrency_minor_unit: 2means 1.95 and not 195. Getting that wrong makes a report a hundred times off; there is a test that pins it down. - It ends with a conclusion. Every report carries
signals:mostly-out-of-stock,heavy-discounting,deep-discounts,no-reviews-at-all,well-reviewed-catalogue,tiny-catalogue,single-category-store,catalogue-larger-than-scanned. Scanning 200 stores becomes a sort on one column. - Reviews as a number, never as people. You get the review count and the rating average, weighted by how many reviews each product has. No reviewer names, no customer data.
- Only delivered reports are charged. A site that is not WooCommerce, a store with no public products, a typo: free error records.
Who this is for
Competitor and market research in e-commerce. Agencies qualifying WooCommerce merchants before a pitch. Brand owners checking which resellers stock their products, and at what price. Anyone tracking a list of stores over time to see which ones moved.
Who this is not for
Read this before you buy.
- WooCommerce only. Shopify, Magento, BigCommerce or a custom shop answer 400 or 404 and
come back as
NOT_WOOCOMMERCE, free. For Shopify stores, use the Shopify Store Report instead; it is the same idea on the other platform. - One row per store, not one row per product. You get the catalogue summarised plus a small sample of product names. If you need every product with every variant, this is the wrong tool.
- Some WooCommerce stores switch the Store API off, or sit behind a firewall that
refuses datacenter traffic. Those come back as
NOT_WOOCOMMERCEorBLOCKED, both free, after every proxy exit has been tried. - Prices are list prices in the store's own currency. No tax handling, no currency conversion, and a price of zero is ignored rather than counted as the cheapest product.
- Ratings come from the shop's own reviews. A store with few reviews has a rating that
says little;
reviewCountandratedProductShareare there so you can see that yourself.
Input example
{"stores": ["barefootbuttons.com","porterandyork.com"],"maxProductsScanned": 100,"sampleSize": 3}
A domain or any URL on the store both work. maxProductsScanned is your cost and speed
lever; the exact product count comes from the store either way.
Output example
{"store": "porterandyork.com","isWooCommerce": true,"productCount": 69,"productsScanned": 69,"currency": "USD","priceMin": 9.0,"priceMax": 675.0,"priceAverage": 82.12,"priceMedian": 59.0,"inStockShare": 0.87,"onSaleShare": 0.014,"averageDiscountPercent": null,"variableProductShare": 0.391,"averageRating": null,"reviewCount": 0,"ratedProductShare": 0.0,"topCategories": ["Beef", "Steaks", "Seafood"],"topBrands": [],"productSample": ["Dry Aged Ribeye", "Filet Mignon", "Wagyu Burgers"],"signals": ["no-reviews-at-all"],"signalCount": 1,"robotsRule": "no robots.txt","status": "ok"}
Error codes: INVALID_STORE, NOT_WOOCOMMERCE, 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
- woocommerce-products-catalog (publishing soon): every product of the same store instead of a summary
- shopify-store-report: the same report for Shopify 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
How do I know whether a store is WooCommerce before I run this? You do not have to: a store that is not WooCommerce costs nothing and says so in one word. Put your whole list in and read the error records.
What does variableProductShare tell me?
How much of the catalogue has options such as size or colour. A high share means a clothing
or configurable catalogue; a low share means simple, single-variant products.
Why is averageDiscountPercent empty on a store that has items on sale?
Because the shop marked products as on sale without a higher regular price, so there is no
discount to compute. The share on sale is still reported.
Is personal data collected? No. A shop's catalogue, prices, categories, brands and review counts are company information. No reviewer names, no customer data, and nothing about people is requested.
What happens when a store changes? Stores change, and so does WooCommerce. 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.