Download websites that use amoCRM

About amoCRM

Most sales software is invisible from the street. Pipelines, deal stages and call logs live behind a login, and nothing about them reaches the public web. amoCRM is an exception, because the parts of it that face buyers, embedded lead capture forms, chat widgets and hosted landing pages, are placed on the company website itself. As of September 2026 we detect amoCRM on 1,878 sites.

Built by QSOFT and sold as a Proprietary product since 2009, the platform was designed around a chat-first idea of selling. Messenger threads, email and telephony are pulled inside the deal record rather than sitting beside it, which suits teams whose revenue depends on answering an inbound enquiry within minutes. A site carrying its forms is usually a small or medium business working a steady flow of leads, not an enterprise running a heavily customised suite across several regions. Our records list the implementation language as PHP, which matters mainly to integrators extending the product through its widget and API layers.

Counting adoption is harder than it looks here, and the reasons are worth stating rather than hiding. The product has been carried into international markets under a second brand, so an account opened years ago and one opened recently may not leave the same fingerprint on a page. A business can also run the whole system internally, working leads that arrive by phone, marketplace or referral, without ever placing a widget on its own domain. Both effects push the same way. What we publish is a floor for adoption, not a customer roster, and a researcher who treats it as the latter will draw conclusions the evidence does not support.

The reason to want a list rather than a single lookup is that the presence of this platform is a segment marker. Consultancies that implement, migrate or integrate sales systems need a population to work from, and so do vendors of telephony, messaging and marketing automation that plug into the same pipeline. Checking one domain answers whether a particular prospect is a candidate. A downloadable file answers how many candidates exist, what they sell, which countries and domain endings they cluster in, and whether the installed base is growing or thinning between refreshes. Filtering the CRM slice of our data by this technology returns that population in one pass, with each domain, its detection date and the rest of its stack alongside, so the set can be sorted by whatever actually decides which accounts are worth approaching.