📈 Download filings from the SEC EDGAR database using Python
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Updated
Dec 15, 2025 - Python
📈 Download filings from the SEC EDGAR database using Python
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)
🤖 Unofficial SEC EDGAR API wrapper for Python
edgarParser helps you parse and analyze SEC filings from the EDGAR database
🗺 Generate mappings between SEC identifiers using Python
This depository uses SEC EDGAR data in Schedule 13D and Schedule 13G data to find all positions above 5% in all US stocks between 1994 and 2018.
Find and download SEC filings. Built on top of sec-edgar-downloader.
Support financial data science workflow, manage large structured and unstructured data sets, and apply financial econometrics and machine learning
A set of tools for dealing with SEC EDGAR corporate filings
Explanation of IPO data extraction from SDC Platinum, data cleaning and matching with CRSP
A mapping between Execucomp database and BoardEx database
This GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)
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.
This Repository consists of all the Jupyter Notebook (.ipynb) files, python files, excel sheets which are a part of the BCGX's Gen AI Virtual Job Simulation that is hosted on Forage.
Rust XBRL parser that's 50-150x faster than traditional parsers. Built for speed and accuracy when processing SEC EDGAR filings.
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