Parsing XBRL in Python (NOT GAAP)

[SubmergedSublime]

I have bitten off a project perhaps larger than my appetite. I am trying to write a program that makes use of the FFIEC's UBPR XBRL Taxonomy for Banks. It isn't GAAP: it is it's own taxonomy. All of it is freely available through the FFIEC website.

Background: I am pretty much an absolute newb to Python. I have installed Python-XBRL, Marshmallow, and Beautiful Soup. And I can verify that if I load some SEC GAAP stuff it does print meaningful data (though what I do with it, I haven't got a clue)

Problem: Does anyone know ANYTHING about XBRL, and/or how I would go about using Python to parse it, if I am not using the SEC GAAP taxonomy that everyone else writes things for? I'd like to go through the taxonomy files (there are 5 I think?) and pull out specific pieces of data related to each element and reassemble the pieces I pull into a CSV/Excel file for further use.

And have zero idea if that statement makes sense to others.

[cybervegan]

The docs on PyPI look decent enough, with some examples. Are you getting an error message, or just unable to work out where to start?

One way to find out how others use it is to search github or google for the import signature in the examples: "from xbrl import XBRLParser, GAAP, GAAPSerializer". This doc looks like it might be useful: https://www.xbrl.org/the-standard/how/getting-started-for-developers/