https://github.com/areed1192/python-sec
A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documents.
https://github.com/areed1192/python-sec
finance python sec securities-and-exchange-commission web-scraper
Last synced: 21 days ago
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A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documents.
- Host: GitHub
- URL: https://github.com/areed1192/python-sec
- Owner: areed1192
- License: mit
- Created: 2020-02-04T16:01:36.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-01-12T15:48:40.000Z (5 months ago)
- Last Synced: 2025-05-15T08:46:56.487Z (23 days ago)
- Topics: finance, python, sec, securities-and-exchange-commission, web-scraper
- Language: Python
- Homepage:
- Size: 26.2 MB
- Stars: 125
- Watchers: 13
- Forks: 50
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Python SEC
## Table of Contents
- [Overview](#overview)
- [Setup](#setup)
- [Usage](#usage)
- [Support These Projects](#support-these-projects)
## Overview
Current Version: **0.1.6**
The Securities & Exchange Commission (SEC) has a treasure trove of business data available to indviduals
for free. However, the biggest obstacle to getting this free data boils down to two challenges:
1. Figuring out where it is
2. Figuring out how to extract it
The Python SEC library (`edgar`) is designed to make the collection and the extraction of SEC data quick
and effortless. The library was designed around some of the following goals:
1. Making the usage of the EDGAR search system, in a prgorammatic fashion, more intuitive.
2. Making the definition of queries more customizeable while still maintaining the overall clearity
of the library.
3. Standardize the returning content so that content is organized consistently and ensuring gaps in data
are filled in or extended that way navigating to other directories or files can be done dynamically.
4. Simplify the parsing of XBRL files so that data can be more easily manipulated.
## Setup
**Setup - PyPi Install:**
To **install** the library, run the following command from the terminal.
```console
pip install python-sec
```
**Setup - PyPi Upgrade:**
To **upgrade** the library, run the following command from the terminal.
```console
pip install --upgrade python-sec
```
**Setup - Local Install:**
If you are planning to make modifications to this project or you would like to access it
before it has been indexed on `PyPi`. I would recommend you either install this project
in `editable` mode or do a `local install`. For those of you, who want to make modifications
to this project. I would recommend you install the library in `editable` mode.
If you want to install the library in `editable` mode, make sure to run the `setup.py`
file, so you can install any dependencies you may need. To run the `setup.py` file,
run the following command in your terminal.
```console
pip install -e .
```
If you don't plan to make any modifications to the project but still want to use it across
your different projects, then do a local install.
```console
pip install .
```
This will install all the dependencies listed in the `setup.py` file. Once done
you can use the library wherever you want.
**Setup - PyPi Install:**
To install the library, run the following command from the terminal.
```console
pip install python-sec
```
**Setup - PyPi Upgrade:**
To upgrade the library, run the following command from the terminal.
```console
pip install --upgrade python-sec
```
## Usage
Here is a simple example of using the `edgar` library to grab different groups of filings.
```python
from pprint import pprint
from edgar.client import EdgarClient
from edgar.enums import StateCodes
from edgar.enums import CountryCodes
from edgar.enums import StandardIndustrialClassificationCodes
# Initialize the Edgar Client
edgar_client = EdgarClient()
# Initialize the Company Services.
company_services = edgar_client.companies()
# Grab all the companies that are based in Texas.
pprint(company_services.get_companies_by_state(state_code='TX'))
# Alternatively, if you didn't know the 2 letter code you could pass through an Enum.
pprint(
company_services.get_companies_by_state(
state_code=StateCodes.West_Virginia
)
)
# Grab all the companies that are based in Australia, same logic here with the Enums.
pprint(
company_services.get_companies_by_country(
country_code=CountryCodes.AUSTRALIA
)
)
```
## Support These Projects
**Patreon:**
Help support this project and future projects by donating to my [Patreon Page](https://www.patreon.com/sigmacoding). I'm
always looking to add more content for individuals like yourself, unfortuantely some of the APIs I would require me to
pay monthly fees.
**YouTube:**
If you'd like to watch more of my content, feel free to visit my YouTube channel [Sigma Coding](https://www.youtube.com/c/SigmaCoding).
**Questions:**
If you have questions please feel free to reach out to me at [[email protected]](mailto:[email protected]?subject=[GitHub]%20Fred%20Library)