SECFE 0.3.2

A Python package for downloading and extracting information from SEC Filings. As a note, this package requires lxml functions that may not run on Mac OS.

SECFE

Python module to download SEC filings from the EDGAR Database and extract sections of filings to perform keyword searches.

Brief Overview

What each module does

SEFD or SEC EDGAR Filing Downloader is a collection of functions to download filings from EDGAR from a CSV input file.

FSE or Filing Section Extractor is a collection of functions to search filings for a specific section and extract the entire section to an rtf file. Please note that funcionality may be limtied or broken for Mac users due to limited LXML capabilities.

SKiS or Section Keyword Search is a collection of functions to search filings sections for a list of keywords and output relevant paragraphs to an rtf file.

Install

From PyPI with pip:

$ pip install SECFE

Requirements

requests, bs4, lxml

Feedback, Issues, and Features:

Feedback

I'd love to get some feedback from users. I want to know how you are using SECFE, so I can focus on updating it in ways that improve your experience. If you'd like to do so you can email me at aarechiga1 at fordham.edu (NOTE: Email abuse will result in your email address being BLOCKED).

With that said, below are some guidelines for submitting issues on GitHub.

Bugs

If you experience any bugs when running the package please submit an issue with a description of the issue. Bugs will take priority over all other issues.

Bad Data

If you experience any problems with returned data please create an issue and include:

• Code related to SECFE download or data extraction

• Data Returned

• Day and Approximate Time of Access

This will allow me to better identify what is causing the issue. If you'd rather not post this information on github, please email it to the email listed in the feedback section.

New Features

Please don't hesitate to ask for new features you'd like to see or make suggestions for improvements. You can open an issue here on github and I'll take a look at it as soon as I can.