ixbrl-parse 0.9.1

Parse iXBRL files, can present in RDF

ixbrl-parse

Introduction

• Python library code, parses iXBRL files.
• Script ixbrl-dump emits iXBRL tagged data in a semi-human-readable dump.
• Script ixbrl-report emits iXBRL tagged data in a human-readable report. This involves downloading referenced XBRL schema to get the human-readable fact labels.
• Script ixbrl-to-rdf emits iXBRL tagged data in RDF.
• Script ixbrl-to-csv outputs iXBRL tagged data in a CSV format.
• Script ixbrl-to-json emits iXBRL tagged data in JSON.
• Script ixbrl-to-xbrl emits iXBRL tagged data as an XBRL instance.
• Script ixbrl-to-kv emits iXBRL in a key-value form easily consumed by scripts.

Sample data

There's a bunch of sample iXBRL files grabbed from various places in the ixbrl directory: US 10-K and 10-Q filings, a few random things from UK companies house, and a couple of sample ESEF filings. This is the data I've tested with.

Also, accts.html is a sample file created using gnucash-ixbrl.

Installation

pip3 install git+https://github.com/cybermaggedon/ixbrl-parse

Usage

Parse iXBRL and output in RDF (default n3 format):

ixbrl-to-rdf accts.html

Parse iXBRL and output in RDF/XML:

ixbrl-to-rdf accts.html --format xml

Parse iXBRL and output in CSV:

ixbrl-to-csv accts.html

Parse iXBRL and output in JSON:

ixbrl-to-json accts.html

Dump iXBRL values:

ixbrl-dump accts.html

Human-readable report:

ixbrl-report accts.html

Human-readable report from SEC EDGAR. Note need to tell ixbrl-report the URL of the original report in order to know where to fetch the custom schema (relative URLs are used):

ixbrl-report ixbrl/10k/lyft-20201231.htm \
    -b https://www.sec.gov/Archives/edgar/data/1759509/000175950921000011/lyft-20201231.htm

Dump iXBRL as XBRL:

ixbrl-to-xbrl accts.html

API

The ixbrl-to-csv file is a good starting point if you want to see how the API works.

What next?

This loads into a Redland RDF sqlite3 store:

ixbrl-to-rdf -i accts.html -f ntriples > accts.ntriples
rdfproc -n -s sqlite accts.db parse accts.ntriples ntriples
rdfproc -s sqlite accts.db print | head

I run a SPARQL store across the data, and view it with LodLive.