{"repo":"ryansmccoy/py-sec-edgar","free":true,"listed":false,"github":"https://github.com/ryansmccoy/py-sec-edgar","clone":"git clone https://github.com/ryansmccoy/py-sec-edgar.git","description":"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.)","language":"Python","stars":127,"topics":["financial-markets","united-states","sec-edgar","stock-market","financial-data","financial","gov","open-data","sec"],"license":null,"category":"databases-storage","readme_excerpt":"py-sec-edgar: Professional SEC EDGAR Filing Processor A powerful, modern Python application for downloading, processing, and analyzing SEC EDGAR filings with professional-grade workflow automation. 🚀 Quick Start • 📖 Documentation • 💼 Examples • 🔧 Installation • ⚡ Workflows --- py-sec-edgar transforms complex SEC filing data into accessible, structured information with enterprise-grade reliability and ease of use: 🎯 Key Features - 🏗️ Professional Workflow System : Four specialized workflows for different data collection needs - ⚡ High-Performance Processing : Efficient bulk download and processing of SEC archives - 🎛️ Advanced Filtering : Filter by ticker symbols, form types, date ranges, and more - 🔄 Real-Time Monitoring : RSS feed integration for live filing notifications - 📊 Structured Data Extraction : Extract and parse filing contents automatically - 🛡️ Enterprise-Ready : Robust error handling, logging, and configuration management - 🐍 Modern Python : Built with Python 3.10+, type hints, and modern best practices 🎪 Use Cases - 📈 Investment Research : Download 10-K/10-Q filings for fundamental analysis - 🔍 Compliance Monitoring : Track insider trading (Form 4) and ownership changes - 📰 News & Events : Monitor 8-K filings for material corporate events - 🏫 Academic Research : Bulk download historical filing data for studies - 🤖 Machine Learning : Create datasets for NLP and financial prediction models - 📊 Portfolio Management : Automated due diligence for i","default_branch":null,"files":null,"tree":[],"storefront":"/r/ryansmccoy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ryansmccoy/py-sec-edgar/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}