Download websites that use Square

About Square

Much of what Block, Inc. sells under the Square brand never touches a web page. A counter terminal in a coffee shop, a reader at a market stall and the payroll product behind them leave nothing a crawler can read. A Payment processors fingerprint of this kind describes only the online slice of that business, and reading our number any other way will mislead you.

As of October 2026 we detect Square on 78 sites. The figure sits far below the merchant base the brand is understood to serve, and the gap is not an error waiting to be fixed. Our fingerprint catches the JavaScript that a page loads in order to take a card in the browser or to run a storefront hosted by the vendor. A business can push years of revenue through the same company without ever placing that script on a site of its own.

Where the script does appear, the implication is fairly tight. The site takes money directly instead of handing the visitor off to a marketplace. Somebody chose a bundled processor with hardware and back office attached rather than assembling a gateway, an acquirer and a reconciliation tool separately, which is a decision small and mid sized operators make far more often than enterprises do. And there is usually an offline counterpart, because the common reason to pick this vendor for the web is that the till already runs on it.

The brand has been in payments since 2009, long enough that presence on a site says little about how modern the rest of the stack is. What the detection does support is a payments oriented view of the web. Anyone selling to independent retail and food service can treat the list as a pre qualified population of businesses that already pay for software and already accept cards online. Competing processors use the same population to size a switching market. Lenders and merchant service resellers use it because a business with card volume and a public storefront is a candidate for financing. Researchers use it to watch how a payments brand spreads across country domains and site categories over successive snapshots, which a single lookup can never show.

Some caveats belong with the file. A fingerprint proves a script was served, not that a payment was ever completed, and a checkout that a crawler cannot reach without filling a basket hides the strongest evidence we could have collected. Our number is conservative by construction. Anyone building a market estimate on top of it should treat the list as confirmed users and leave room for the ones a crawl cannot see.