USE CASE:
Reading stack detection for CRM
Here is how stack detection for CRM actually gets done, what it costs each way, and where each way stops working. The tools we name are Mamba Labs Apify actors, priced per row, and Company Tech Stack Detection is the one pointed at CRM.
Where this starts
CRM distort stack detection, for a reason specific to them. CRM leaves a fingerprint on the front end and nothing at all behind a login, and stack detection inherits that. Worth knowing about CRM, since stack detection inherits it: not detected is not the same as not used, and campaigns get built on that gap. Company Tech Stack Detection carries 1 ready made setup for stack detection on CRM.
What is at stake
Knowing that one of the CRM already runs something you integrate with turns the pitch from an argument into a demonstration.
Traditional Search Tools
- Their integrations page, for CRM. Free, self reported, and more accurate than any detector.
- 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.
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.
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.