A python package to parse the XBRL file format & interface with XBRL APIs in a tidy format. A powerful tool for automated financial analysis, accounting, and investment research using Pandas.
tidyxbrl is a Python package that parses XBRL data files and returns dynamic structures that succinctly store the underlying data. This package additionally can interface with the XBRL API and SEC EDGAR interfaces, with further expansion to other XBRL data providers planned for the near future. This package aims to the be the simplest and most effective method to parse XBRL data in Python.
eXtensible Business Reporting Language (XBRL) is a standardized financial reporting framework to structure financial reporting in a way that enables automation and machine processing. This package aims to enable its users to realize the full capabilities of the XBRL standard through parsing files and interfacing with the applicable APIs.
Applicable documentation can be found below:
The source code is currently hosted on GitHub at: https://github.com/cowboycodeman/tidyxbrl/
The tidyxbrl package is publically available for download at: https://pypi.org/project/tidyxbrl/
# PyPI
pip install tidyxbrl
xbrl_parse - Parse xbrl files or website urls
tidyxbrl.xbrl_parse("https://www.sec.gov/Archives/edgar/data/320193/000032019321000010/aapl-20201226_htm.xml")
xbrl_query - Query the XBRL API
response = tidyxbrl.xbrl_apikey(username=username, password=password, client_id=client_id, client_secret=client_secret, platform='pc', grant_type='password', refresh_token='')
dataresponse = tidyxbrl.xbrl_query(access_token=response.access_token.values[0],
baseapiurl='https://api.xbrl.us/api/v1/report/search?',
queryparameters = {'report.entity-name': "APPLE INC.",
'fields': "report.id,report.entity-name,report.filing-date,report.base-taxonomy,report.document-type,report.accession,entity.ticker,report.sic-code,entity.cik,report.entry-type,report.period-end,report.sec-url,report.checks-run,report.accepted-timestamp.sort(DESC),report.limit(20),report.offset(0),dts.id,report.entry-url",
'report.document-type': "10-K"
})
edgar_query - Query SEC data using the Central Index Key (CIK)
companycik = tidyxbrl.edgar_cik("ZILLOW GROUP, INC")
desiredcorp = str(companycik[companycik.company.str.contains("ZILLOW GROUP, INC.")]['cik_str'].unique()[0])
tidyxbrl.edgar_query(desiredcorp, query_type = 'submissions')
tidyxbrl.edgar_query(desiredcorp, query_type = 'companyconcept', queryextension = '/us-gaap/AccountsPayableCurrent')
tidyxbrl.edgar_query(desiredcorp, query_type = 'companyfacts')
edgar_frames - Aggregates one fact for each reporting entity
tidyxbrl.edgar_frames(urldescriptor = 'us-gaap/NonoperatingIncomeExpense/USD/CY2019Q1I')
FAQs
A python package to parse the XBRL file format & interface with XBRL APIs in a tidy format. A powerful tool for automated financial analysis, accounting, and investment research using Pandas.
We found that tidyxbrl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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