Download websites that use Datadome

About Datadome

There is an honest awkwardness in a web wide crawler publishing a page about a bot detection vendor, and it is worth stating at the top, because it shapes the numbers underneath.

Datadome is a bot protection and fraud prevention service founded in 2015 by DataDome and sold as a Proprietary product. The service sits at the content delivery or server layer, scores every request as it arrives and decides whether the caller is a person, a benign crawler or something extracting inventory, testing stolen credentials or hammering an API. Machine learning does the classification, and the design goal is to keep the decision invisible to legitimate visitors instead of pushing everyone through a challenge page. Retailers, classified ad platforms and media companies buy it because their content is their product and copying it is somebody else's business model.

As of October 2026 we detect the service on 37,102 sites, 33,803 of them on domains registered in United States, and the suffix mix is weighted to .com. Presence makes a strong statement about the site behind it. Bot management is not bought defensively in the abstract. A company pays for it after somebody has been scraping prices, filling carts, stuffing credentials or draining an inventory feed, so the technology marks sites with automated adversaries and the budget to answer them.

The resulting list reads differently depending on who opens it. Security vendors see a qualified segment of companies that already spend in the category and have already been convinced the problem is real. Data teams see the domains where automated collection will fail or will need a commercial agreement rather than a crawler. Competitive analysts see a proxy for which retailers consider their pricing and catalogue worth defending, which is itself a statement about margin and about how much of the market moves on price.

The caveat here is unusually important. A product designed to separate automated traffic from human traffic can affect what an automated collector observes, so sites running it are exactly the sites a crawl based dataset tends to underrepresent, including this one. Detection relies on the headers, cookies and challenge behaviour the service exposes to an ordinary request, and a quiet deployment can leave no visible trace at all. Treat the count as a floor with a known direction of error, and treat the absence of the service on a domain as unproven rather than disproven.