Download, extraction, and parsing of documents available through the Securities and Trade Comission's EDGAR database
Project description
EDGAR-DOC-PARSER
Documentation
For more information read our documentation hosted here.
We have a Test Server PyPi Page hosted here.
About
A package for downloading, extracting, parsing, and processing data from SEC-EDGAR, a public online database of all documents filed with the USA's Securities and Exchange Commission.
Quick Start Guide
import edgar
dataloader = edgar.Dataloader(tikrs=['nflx'], document_type='8-K', data_dir='data')
for text_8k in dataloader:
#dostuff
print(text_8k)
break
Currently Support Filing Types
- 10-Q
- 8-K
We plan on expanding the list in future releases
Dependencies
Local - Conda
To create conda environment for local
conda create -n edgar -c conda-forge -c anaconda python=3.10 scipy numpy pyyaml pandas
conda activate edgar
pip install secedgar==0.4.0
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
edgar_doc_parser-0.2.0.tar.gz
(22.0 kB
view hashes)
Built Distribution
Close
Hashes for edgar_doc_parser-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ffc658a7dc2f492960c4b38e5fe02953c2e4e7ef180f395ef29400e1959ed13 |
|
MD5 | 86512c38ede516bf31b2eb91f06ebf8f |
|
BLAKE2b-256 | f1b5fccee8bb8b4283661ed89e13e9385c32ede73d582616c82dc33056ce8a33 |