USE CASE:
Ecommerce brands: the honest take on stack detection
Here is how stack detection for ecommerce brands actually gets done, what it costs each way, and where each way stops working. We are Mamba Labs, we build Apify actors, and Company Tech Stack Detection is the one that does this for ecommerce brands.
Where this starts
Ecommerce brands and stack detection: one at a time is fine, and a list of them is not. Ecommerce brands live and die on platform choice, and the platform is visible in the page source, and stack detection has to work around it. Know this about ecommerce brands before any stack detection: a headless build hides the platform completely, and headless correlates with the biggest merchants. Company Tech Stack Detection carries 1 ready made setup for stack detection on ecommerce brands.
Why anyone bothers
Knowing that one of the ecommerce brands already runs something you integrate with turns the pitch from an argument into a demonstration.
Traditional Search Tools
- Wappalyzer, for ecommerce brands. Free as an extension, cheap as an API, and it will still miss the headless ones.
- BuiltWith. The reference dataset with history and reverse lookup by technology. Priced accordingly, and still the first place most people go.
- Wappalyzer. Free as an extension, cheap as an API, shallower than BuiltWith on history. Fine for a live check on a single account.
- Their integrations page. Companies list what they connect to. It is self reported, public, and frequently more accurate than any detector.
- View source and check the DNS. Script tags, DNS records, the login subdomain. A minute per company for someone who knows what to look for, and the signatures are public.
Mamba Labs Apify Actors
These are the actors we built for this job. If yours is not covered here, search from the bar at the top of the page or contact us here and tell us what you need.
- Company Tech Stack Detection1 preconfigured task on this page's job.
Preconfigured tasks
A task is one of these actors with the inputs already filled in for a specific version of this job. Open one, swap in your own list, and run it without setting anything up from scratch.