Almanac used 3rd party data information (i.e. https://github.com/patrickhulce/third-party-web) for analysis.
I've manually added a rules dictionary to calculate the stats https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2salmanac!3sthird_party_web_entities
Looks like these rules fit wappalyzer schema well, but we don't use XHR rules and don't check generic request matches.
We could add a post-processing step to crawl to offer a wider match of technologies based on requests parameters.
Almanac used 3rd party data information (i.e. https://github.com/patrickhulce/third-party-web) for analysis.
I've manually added a rules dictionary to calculate the stats https://console.cloud.google.com/bigquery?ws=!1m5!1m4!4m3!1shttparchive!2salmanac!3sthird_party_web_entities
Looks like these rules fit wappalyzer schema well, but we don't use XHR rules and don't check generic request matches.
We could add a post-processing step to crawl to offer a wider match of technologies based on requests parameters.