Download websites that use Affirm

About Affirm

Consumer credit is not usually visible from outside a website, which is what makes a Buy now pay later fingerprint like Affirm worth collecting. A site that loads it has concluded that a meaningful part of its buyers will not pay in full at the moment of checkout, and has gone to the trouble of integrating a third party lender to catch them.

As of October 2026 the tag appears on 98 sites in our index. Version reporting is unusually flat for commerce software, since every integration we read returns the same value, which is 2. A self-hosted cart would show a long tail of releases stretching back years. A flat spread instead means the integration is a hosted script that Affirm updates for every merchant at once, so nobody is stranded on an old build and nobody can fork or patch it locally. Licensing is Proprietary, and our records for the technology start in 2012.

Presence says something about the merchant, not only about the checkout. Installment lending is approved merchant by merchant, underwritten against the goods being sold and the size of the average basket, which means the lender has already performed diligence that a researcher would otherwise have to attempt from the outside. Higher ticket retail, travel, furniture, equipment and elective health services are the natural fit. Low value repeat purchases are not.

For a competitor in the same market the list is a displacement target. For a payments consultancy or an agency it works as a qualification filter, because a merchant running a lender integration is running enough volume to justify the contract. For a risk or research team the interesting query is overlap: which sites carry two lenders at once, which dropped one between crawls, and what cart software sits underneath the widget.

The count understates reality and the gap is not small. Lender widgets render on product and checkout pages, and often only once a price crosses a threshold, while a crawl of a domain sees the home page and whatever is linked from it. A merchant can be a customer for years without ever exposing the script on a page we fetch. Treat the figure as a floor for confirmed integrations rather than a census of merchants, and treat movement between refreshes as more informative than the absolute number. A per-domain lookup has the same blind spot and no way to correct for it, whereas a full list can be compared against itself over time, which is where the signal actually lives.