Skip to main content

Downloads various SEC EDGAR files by CIK or ticker. companyfactsshow displays company facts in your browser

Project description

EDGARquery

Table of Contents

pip install edgarquery
  • License edgarquery is distributed under the terms of the MIT license.

-[Usage]

edgarquery

required environmental variable

EQEMAIL - required by the SEC to download some of the files with curl.
used as the user-agent in the url request by the scripts.

These commands retrieve various data from SEC EDGAR. They use a
CIK or Central Index Key or ticker symbol to identify entities
such as companies or insiders - company officers or large stock holders.

Use edgartickerstocsv and edgarcikperson to find CIKs by name
or ticker and then use that CIK or ticker to gather the data of interest.
To display facts for a company aggregated by the SEC, invoke

Usage


##
## edgarcikperson
##
usage: cikperson [-h] [--cikpersondb CIKPERSONDB] [--file FILE]

extract CIK and person names from form345 zip files

options:
-h, --help show this help message and exit
--cikpersondb CIKPERSONDB
full path to the sqlite3 database - default in memory
--file FILE where to store the output - default stdout


##
## edgarcompanyconcepttocsv
##
usage: edgarcompanyconcepttocsv [-h] --file FILE [--directory DIRECTORY]

Parse an SEC EDGAR companyconcepts json file after it has been altered to deal
with its multipart character and generate a csv file from its contents

options:
-h, --help show this help message and exit
--file FILE json file to process
--directory DIRECTORY
where to deposit the fileѕ


##
## edgarcompanyfactsshow
##
usage: edgarcompanyfactsshow [-h] [--cik CIK] [--ticker TICKER]
[--directory DIRECTORY]

parse EDGAR company facts for a ticker or cik and display them in a browser

options:
-h, --help show this help message and exit
--cik CIK Centralized Index Key for the company
--ticker TICKER Ticker for the company
--directory DIRECTORY
where to store the html file to display


##
## edgarcompanyfactstocsv
##
usage: edgarcompanyfactstocsv [-h] --file FILE [--directory DIRECTORY]

Parse an SEC EDGAR companyfacts json file after it has been altered to deal
with its multipart character and generate CSV files from its content. I think
that the SEC fixed the multi-json bug

options:
-h, --help show this help message and exit
--file FILE json file to process
--directory DIRECTORY
where to deposit the csv fileѕ


##
## edgarcompanyfactsziptocsv
##
usage: edgarcompanyfactsziptocsv [-h] --zipfile ZIPFILE
[--directory DIRECTORY] [--files FILES]

Extract one or more json files from an SEC EDGAR companyfacts.zip file and
convert to CSV

options:
-h, --help show this help message and exit
--zipfile ZIPFILE submissions.zip file to process. Іt can be downloadæd
with edgarquery.query
--directory DIRECTORY
where to deposit the output
--files FILES comma separated(no spaces) content file(s) to process
a subset of the files in the zip file


##
## edgarlatest10K
##
usage: edgarlatest10K [-h] [--cik CIK] [--ticker TICKER] [--link]
[--directory DIRECTORY] [--show]

find the most recent 10-K for ticker or cik

options:
-h, --help show this help message and exit
--cik CIK 10-digit Central Index Key
--ticker TICKER company ticker symbol
--link return the url for the latest 10-K
--directory DIRECTORY
directory to store the output
--show show the 10-K stored in directory to your browser


##
## edgarlatestsubmission
##
usage: edgarlatestsubmission [-h] [--cik CIK] [--ticker TICKER]
[--submission {SC 13D,13F-HR,DEF 14A,8-K,10-K,10-Q}]
[--link] [--directory DIRECTORY] [--show]

find the most recent submission for a ticker or cik for some common
submissƣons.

options:
-h, --help show this help message and exit
--cik CIK 10-digit Central Index Key
--ticker TICKER company ticker symbol
--submission {SC 13D,13F-HR,DEF 14A,8-K,10-K,10-Q}
X-K submission type
--link return the url for the latest X-K
--directory DIRECTORY
directory to store the output
--show show the X-K stored in directory to your browser


##
## edgarlatestsubmissions
##
usage: edgarlatestsubmissions [-h] [--cik CIK] [--ticker TICKER]
[--directory DIRECTORY] [--file FILE]

find the most recent submissions for a ticker or cik

options:
-h, --help show this help message and exit
--cik CIK 10-digit Central Index Key
--ticker TICKER company ticker symbol
--directory DIRECTORY
directory to store the output
--file FILE where to store the output


##
## edgarquery
##
usage: edgarquery [-h] [--cik CIK] [--ticker TICKER] [--cy CY]
[--frame FRAME] [--units UNITS] [--fact FACT]
[--directory DIRECTORY] [--file FILE] [--companyconcept]
[--companyfacts] [--xbrlframes]
[--companyfactsarchivezip] [--submissionszip]
[--financialstatementandnotesdataset]

query SEC EDGAR site for a ticker or cik NOTE thæt EQEMAIL env variable is
required and must contain a valid User-Agent such as your email address

options:
-h, --help show this help message and exit
--cik CIK 10-digit Central Index Key
--ticker TICKER company stock ticker
--cy CY calendar year e.g. CY2023, CY2023Q1, CY2023Q4I
--frame FRAME reporting frame e.g us-gaap, ifrs-full, dei, srt
--units UNITS USD or shares
--fact FACT fact to collect e.g AccountsPayableCurrent, USD-per-
shares
--directory DIRECTORY
directory to store the output
--file FILE file in which to store the output argument allowed for
each query type if --directory is not provided, it
should be the full path
--companyconcept returns all the XBRL disclosures from a single company
--cik required --frame - default us-gaap --fact -
default USD-per-shares
--companyfacts aggregates one fact for each reporting entity that is
last filed that most closely fits the calendrical
period requested --cik required
--xbrlframes returns all the company concepts data for a CIK --cy
required
--companyfactsarchivezip
returns daily companyfacts index in a zip file
--submissionszip returns daily index of submissions in a zip file
--financialstatementandnotesdataset
returns zip file with financial statement and notes
summaries --cy required


##
## edgarsubmissions
##
usage: edgarsubmissions [-h] [--cik CIK] [--ticker TICKER] [--year YEAR]
[--file FILE] [--directory DIRECTORY]

find the most recent submissions for ticker or cik

options:
-h, --help show this help message and exit
--cik CIK 10-digit Central Index Key
--ticker TICKER company ticker symbol
--year YEAR year to search for submissions if not current year
--file FILE store the output in this file
--directory DIRECTORY
store the output in this directory


##
## edgarsubmissionsziptocsv
##
usage: edgarsubmissionsziptocsv [-h] [--zipfile ZIPFILE]
[--directory DIRECTORY] [--files FILES]

Extract one or more json files from an SEC EDGAR submissions.zip file and
convert to CSV

options:
-h, --help show this help message and exit
--zipfile ZIPFILE submissions.zip file to process - required
--directory DIRECTORY
where to deposit the output
--files FILES comma separated(no spaces) content file(s) to process
a subset of the files in the zip file


##
## edgartickerstocsv
##
usage: edgartickerstocsv [-h] [--directory DIRECTORY]

collect EDGAR companyticker json files and convert them to csv

options:
-h, --help show this help message and exit
--directory DIRECTORY
where to deposit the fileѕ


##
## edgarxbrlframestocsv
##
usage: edgarxbrlframestocsv [-h] --file FILE [--directory DIRECTORY]

Parse an SEC EDGAR xbrlframes json file after it has been altered to deal with
its multipart character and generate a csv file from its contents

options:
-h, --help show this help message and exit
--file FILE xbrl frames json file to process
--directory DIRECTORY
where to deposit the output

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edgarquery-0.0.61.tar.gz (28.8 kB view details)

Uploaded Source

Built Distribution

edgarquery-0.0.61-py3-none-any.whl (38.5 kB view details)

Uploaded Python 3

File details

Details for the file edgarquery-0.0.61.tar.gz.

File metadata

  • Download URL: edgarquery-0.0.61.tar.gz
  • Upload date:
  • Size: 28.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for edgarquery-0.0.61.tar.gz
Algorithm Hash digest
SHA256 6efa04b8c47e3c7f4695326a3db876888d25fd67f01131bdfd3efffd0a1fb067
MD5 f81a1727c7a203caa024e42203aa0f27
BLAKE2b-256 98d344835c2b0f4f1e461d536343aa6e27335c1f9669a441e215301f5230d3c7

See more details on using hashes here.

File details

Details for the file edgarquery-0.0.61-py3-none-any.whl.

File metadata

  • Download URL: edgarquery-0.0.61-py3-none-any.whl
  • Upload date:
  • Size: 38.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.13

File hashes

Hashes for edgarquery-0.0.61-py3-none-any.whl
Algorithm Hash digest
SHA256 ed7d8e8cb75bf8467ab3b25825c4ff89f6c090c792118fb545797fc736e676f7
MD5 5fbb4d556c8376e2a37d8cae7a4981d4
BLAKE2b-256 f38716cbf149a220dd3a278164a7cbf59e2e59e5a0c730a23f654bdbf6114f59

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page