Extract every product URL from a competitor's category page

Paste the category page that lists them and press Find products. The tool reads that page live, decides which of its links are product pages, merges the duplicates that storefronts create by linking each tile twice, and gives you the list plus a CSV export. No sign-up, no card, no email — the limits are on what one scan reads, not on who is allowed to run it.

A sitemap gives you every URL on the domain with no indication of what any of them is or which category it belongs to. For a mid-size retailer that is tens of thousands of lines you then have to filter by hand, and plenty of sitemaps are stale or partial. This answers a narrower question — what is in this one category, right now — which is usually the question you actually had.

This reads the same publicly-served HTML your browser receives when you open the page, and it reads one page rather than crawling a site. It collects no personal data. That said, "publicly accessible" and "permitted by the terms you agreed to" are different tests, and terms of service, database rights and rate of access all vary by jurisdiction and by site — so treat this as a description of what the tool does, not as legal advice for your situation.

Yes, and those are the easy case: all three publish recognisable product URL patterns and usually structured product data too, so both the link classification and the field list come back complete. Shopify stores are also read from the catalogue object the theme inlines, which is where the SKU and variant counts in the worked example above come from.

It recognises product and category URL segments in Estonian, Finnish, German, Latvian, Lithuanian, Danish, Norwegian and Swedish alongside English — toode, tuote, produkt, artikel, prekes, vare, kategooria, kategoria and so on. Nordic, Baltic and DACH retailers are the ones our customers track, so tools that only know /products/ and /collections/ were never going to be enough.

Yes. Every scan with results has an Export CSV button, and the file carries the URL, the type, the title we read and the evidence behind the classification. It is written with a UTF-8 byte-order mark so Excel on Windows opens Käsemesser and Kõrvaklapid correctly instead of mangling them.

A category, collection, or search-results page — the page that lists lots of products. A homepage will mostly return navigation links, and a single product page has nothing to list.

Because it is an inference, not a certainty. We judge each link on its URL pattern, the class the shopping cart wrote onto it, and any Product structured data the site publishes. That is usually right, but we would rather say what we actually know.

Two reasons, and the result above tells you which. Either the site builds its grid in the browser with JavaScript, so a plain fetch sees an empty shell — or its product URLs carry no recognisable pattern, which is common with European retailers that put products at the root of the domain. Both are handled by the paid ScrapeWise engine, which reads page structure instead of guessing from URLs.

No, and that is deliberate. It reads the page you give it plus up to nine pages of its pagination — three in total if the site blocks us and we have to take the slower route. You get the products in that category, not forty thousand URLs you then have to filter.

Not in this free tool — that would mean fetching every product page individually. It finds the pages; ScrapeWise monitors what they cost.