Skip to content

Latest commit

 

History

History
383 lines (286 loc) · 17.6 KB

README.md

File metadata and controls

383 lines (286 loc) · 17.6 KB

edgar-tools-logo

The world's easiest, most powerful edgar library

PyPI - Version GitHub last commit GitHub Workflow Status CodeFactor Hatch project GitHub

edgardemo

Features

  • 🧠 Intuitive and easy to use: edgartools has a super simple API that is easy to use.
  • 🛠️ Works as a library or a CLI: You can use edgartools as a library in your code or as a CLI tool.
  • 📁 Access any SEC filing: You can access any SEC filing since 1994.
  • 📅 List filings for any date range: List filings for year, quarter e.g. or date range 2024-02-29:2024-03-15
  • 🌟 Best looking edgar library: Uses rich library to display SEC Edgar data in a beautiful way.
  • 🔄 Page through filings: Use filings.next() and filings.previous() to page through filings
  • 🏗️ Build Data Pipelines: Build data pipelines by finding, filtering, transforming and saving filings
  • Select a filing: You can select a filing from the list of filings.
  • 📄 View the filing as HTML or text: Find a filing then get the content as HTML or text.
  • 🔢 Chunk filing text: You can chunk the filing text into sections for vector embedding.
  • 🔍 Preview the filing: You can preview the filing in the terminal or a notebook.
  • 🔎 Search through a filing: You can search through a filing for a keyword.
  • 📊 Parse XBRL: If a filing has XBRL, you can parse it to a dataframe.
  • 💾 Data Objects: Automatically downloads and parses filings into data objects.
  • 📥 Download any attachment: You can download any attachment from the filing.
  • 🕒 Automatic throttling: Automatically throttles requests to Edgar to avoid being blocked.
  • 📥 Bulk downloads: Faster batch processing through bulk downloads of filings and facts
  • 🔢 Get company by Ticker or Cik: Get a company by ticker Company("SNOW") or cik Company(1640147)
  • 📚 Get company filings: You can get all the company's historical filings using company.get_filings()
  • 📈 Get company facts: You can get company facts using company.get_facts()
  • 💰 Company Financials: You can get company financials using company.financials
  • 🔍 Lookup Ticker by CUSIP: You can lookup a ticker by CUSIP
  • 📑 Dataset of SEC entities: You can get a dataset of SEC companies and persons
  • 📈 Fund Reports: Search for and get 13F-HR fund reports
  • 👤 Insider Transactions: Search for and get insider transactions

Getting started

Install using pip

pip install edgartools

Import and start using

from edgar import *

# Tell the SEC who you are
set_identity("Michael Mccallum [email protected]")

filings = get_filings()

Concepts

How do I find a filing?

Depends on what you know

A. I know the accession number

filing = find("0001065280-23-000273")

B. I know the company ticker or cik

filings = Company("NFLX").get_filings(form="10-Q").latest(1)

C. Show me a list of filings

filings = get_filings(form="10-Q")
filing = filings[0]

What can I do with a filing

You can view it in the terminal or open it in the browser, get the filing as html, xml or text, and download attachments. You can extract data from the filing into a data object.

What can I do with a company

You can get the company's filings, facts and financials.

How to use edgartools

Task Code
Set your EDGAR identity in Linux/Mac export EDGAR_IDENTITY="First Last [email protected]"
Set your EDGAR identity in Windows set EDGAR_IDENTITY="First Last [email protected]"
Set identity in Windows Powershell $env:EDGAR_IDENTITY="First Last [email protected]"
Set identity in Python set_identity("First Last [email protected]")
Importing the library from edgar import *

Working with filings

Task Code
Get filings for the year to date filings = get_filings()
Get only xbrl filings filings = get_filings(index="xbrl")
Get filings for a specific year filings = get_filings(2020)
Get filings for a specific quarter filings = get_filings(2020, 1)
Get filings for multiple years filings = get_filings([2020, 2021])
Get filigs for a range of years filings = get_filings(year=range(2010, 2020)
Get filings for a specific form filings = get_filings(form="10-K")
Get filings for a list of forms filings = get_filings(form=["10-K", "10-Q"])
Show the next page of filings filings.next()
Show the previous page of filings filings.prev()
Get the first n filings filings.head(20)
Get the last n filings filings.tail(20)
Get the latest n filings by date filings.latest(20)
Get a random sample of the filings filings.sample(20)
Filter filings on a date filings = filings.filter(date="2020-01-01")
Filter filings between dates filings.filter(date="2020-01-01:2020-03-01")
Filter filings before a date filings.filter(date=":2020-03-01")
Filter filings after a date filings.filter(date="2020-03-01:")
Get filings as a pandas dataframe filings.to_pandas()

Working with a filing

Task Code
Get a single filing filing = filings[3]
Get a filing by accession number filing = get_by_accession_number("0000320193-20-34576")
Get the filing homepage filing.homepage
Open a filing in the browser filing.open()
Open the filing homepage in the browser filing.homepage.open()
View the filing in the terminal filing.view()
Get the html of the filing document filing.html()
Get the XBRL of the filing document filing.xbrl()
Get the filing document as markdown filing.markdown()
Get the full submission text of a filing filing.text()
Get and parse the data object of a filing filing.obj()
Get the filing attachments filing.attachments
Get a single attachment attachment = filing.attachments[0]
Open an attachment in the browser attachment.open()
Download an attachment content = attachment.download()

Working with a company

Task Code
Get a company by ticker company = Company("AAPL")
Get a company by CIK company = Company("0000320193")
Get company facts company.get_facts()
Get company facts as a pandas dataframe company.get_facts().to_pandas()
Get company filings company.get_filings()
Get company filings by form company.get_filings(form="10-K")
Get a company filing by accession_number company.get_filing(accession_number="0000320193-21-000139")
Get the company's financials company.financials
Get the company's balance sheet company.financials.balance_sheet
Get the company's income statement company.financials.income_statement
Get the company's cash flow statement company.financials.cash_flow_statement

Installation

pip install edgartools

Usage

Set your Edgar user identity

Before you can access the SEC Edgar API you need to set the identity that you will use to access Edgar. This is usually your name and email, or a company name and email.

Sample Company Name AdminContact@<sample company domain>.com

The user identity is sent in the User-Agent string and the Edgar API will refuse to respond to your request without it.

EdgarTools will look for an environment variable called EDGAR_IDENTITY and use that in each request. So, you need to set this environment variable before using it.

Setting EDGAR_IDENTITY in Linux/Mac

export EDGAR_IDENTITY="Michael Mccallum [email protected]"

Setting EDGAR_IDENTITY in Windows Powershell

 $Env:EDGAR_IDENTITY="Michael Mccallum [email protected]"

Alternatively, you can call set_identity which does the same thing.

from edgar import set_identity
set_identity("Michael Mccallum [email protected]")

For more detail see https://www.sec.gov/os/accessing-edgar-data

Usage

Importing edgar

from edgar import *

Use the Filing API when you are not working with a specific company, but want to get a list of filings.

For details on how to use the Filing API see Using the Filing API

With the Company API you can find a company by ticker or CIK, and get the company's filings, facts and financials.

Company("AAPL")
        .get_filings(form="10-Q")
        .latest(1)
        .obj()

expe

See Using the Company API

Viewing and downloading attachments

Every filing has a list of attachments. You can view the attachments using filing.attachments

# View the attachments
filing.attachments

Filing attachments

You can access each attachment using the bracket operator [] and the index of the attachment.

# Get the first attachment
attachment = filing.attachments[0]

Filing attachments

You can download the attachment using attachment.download(). This will download the attachment to string or bytes in memory.

Automatic parsing of filing data

Now the reason you may want to download attachments is to get information contained in data files. For example, 13F-HR filings have attached infotable.xml files containing data from the holding report for that filing.

Fortunately, the library handles this for you. If you call filing.obj() it will automatically download and parse the data files into a data object, for several different form types. Currently, the following forms are supported:

Form Data Object Description
10-K TenK Annual report
10-Q TenQ Quarterly report
8-K EightK Current report
MA-I MunicipalAdvisorForm Municipal advisor initial filing
Form 144 Form144 Notice of proposed sale of securities
C, C-U, C-AR, C-TR FormC Form C Crowdfunding Offering
D FormD Form D Offering
3,4,5 Ownership Ownership reports
13F-HR ThirteenF 13F Holdings Report
NPORT-P FundReport Fund Report
EFFECT Effect Notice of Effectiveness
And other filing with XBRL FilingXbrl

For example, to get the data object for a 13F-HR filing you can do the following:

filings = get_filings(form="13F-HR")
filing = filings[0]
thirteenf = filing.obj()

Filing attachments

If you call obj() on a filing that does not have a data file, then it will return None.

Working with XBRL filings

Some filings are in XBRL (eXtensible Business Markup Language) format. These are mainly the newer filings, as the SEC has started requiring this for newer filings.

If a filing is in XBRL format then it opens up a lot more ways to get structured data about that specific filing and also about the company referred to in that filing.

The Filing class has an xbrl function that will download, parse and structure the filing's XBRL document if one exists. If it does not exist, then filing.xbrl() will return None.

The function filing.xbrl() returns a FilingXbrl instance, which wraps the data, and provides convenient ways of working with the xbrl data.

filing_xbrl = filing.xbrl()

Filing homapage

Financials

Some filings, notably 10-K and 10-Q filings contain financial statements in XBRL format. You can get the financials from the XBRL data using the Financials class.

from edgar.financials import Financials
financials = Financials.from_xbrl(filing.xbrl())
financials.balance_sheet
financials.income_statement
financials.cash_flow_statement

Or automatically through the Tenk and TenQ data objects.

Here is an example that gets the latest Apple financials

tenk = Company("AAPL").get_filings(form="10-K").latest(1).obj()
financials = tenk.financials
financials.balance_sheet

Balance Sheet

Get the financial data as a pandas dataframe

Each of the financial statements - BalanceSheet, IncomeStatement and CashFlowStatement - have a to_dataframe() method that will return the data as a pandas dataframe.

balance_sheet_df = financials.balance_sheet.to_dataframe()

Contributing

Contributions are welcome! We would love to hear your thoughts on how this library could be better at working with SEC Edgar.

Reporting Issues

We use GitHub issues to track public bugs. Report a bug by opening a new issue; it's that easy!

Making code changes

  • Fork the repo and create your branch from master.
  • If you've added code that should be tested, add tests.
  • If you've changed APIs, update the documentation.
  • Ensure the test suite passes.
  • Make sure your code lints.
  • Issue that pull request!

License

edgartools is distributed under the terms of the MIT license.

Contact

LinkedIn

Star History

Star History Chart

Subscribe to Polar

2 3 Subscribe on Polar 4