Python library to access and analyze SEC Edgar filings, XBRL financial statements, 10-K, 10-Q, and 8-K reports

Download all companies periodic reports, filings and forms from EDGAR database.

📈 Download filings from the SEC EDGAR database using Python

The only open-source toolkit that can download SEC EDGAR financial reports and extract textual data from specific item sections into nice & clean structured JSON files. Presented at WWW 2025 @ Sydney, Australia (https://dl.acm.org/doi/10.1145/3701716.3715289)

Download the SEC filings index from EDGAR since 1993

Node.js SDK for SEC & EDGAR data — API access and bulk dataset downloads for 20M+ filings, insider trades, 13F holdings, financial statements, exec comp, enforcement actions, material contracts, registration statements & prospectuses, bond & credit agreements, investment advisers, proxy voting, XBRL-to-JSON, real-time streaming, full-text search...

Python SDK for SEC & EDGAR data — API access and bulk dataset downloads for 20M+ filings, insider trades, 13F holdings, financial statements, exec comp, enforcement actions, material contracts, registration statements & prospectuses, bond & credit agreements, investment advisers, proxy voting, XBRL-to-JSON, real-time streaming, full-text search...

A SEC EDGAR MCP (Model Context Protocol) Server

A small library to access files from SEC's edgar

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

provide cik to cusip links using 13G and 13D filings

Python-based parser for parsing XBRL and iXBRL files

Text information from US companies' SEC EDGAR electronic filings

🤖 Unofficial SEC EDGAR API wrapper for Python

SECDatabase.com produced this dataset with the text and detailed numeric information of all financial statements. The Dataset is extracted from corporate annual and quarterly reports filed with the SEC using XBRL since January 2009.

Download and extract MDA section from edgar 10k forms

R package for interacting with the SEC's EDGAR filing search and retrieval system

One stock code → full company story

🗺 Generate mappings between SEC identifiers using Python

Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs