A Python package for working with SEC filings at scale. Includes Mulebot, an open-source chatbot for SEC data with no storage requirements. ? Full Documentation | ? Website
Articles:
Article: Creating Structured Datasets from SEC filings
Article: Deploy a Financial Chatbot in 5 Minutes
Download SEC filings quickly and efficiently
Monitor EDGAR for new filings in real-time
Parse filings at scale
Access comprehensive datasets (10-Ks, SIC codes, etc.)
Interact with SEC data using MuleBot
# Basic installationpip install datamule# Install with all featurespip install datamule[all]
import datamule as dm# Download filingsdownloader = dm.Downloader()downloader.download(form='10-K', ticker='AAPL')# Download filing attachments such as information tablesdownloader.download(form='13F-HR',file_types=['INFORMATION TABLE'],date=('2024-09-14','2024-09-16'))# Download every 10Q from 2023. Should take 2 minutesdownloader.download_dataset(dataset='10q_2023')filing_viewer: Filing viewer module
mulebot: SEC data interaction chatbot
mulebot_server: Flask server for MuleBot
all: All available features
? SEC Filing Glossary
? XBRL Fact Glossary
? Try MuleBot
Access comprehensive SEC datasets including:
Historical FTD data (since 2004)
10-K and 10-Q filings (since 2001)
13F-HR Information Tables (since 2013)
MD&A collection (100,000+ since 2001, requires free API key)
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License
For detailed usage examples, API reference, and advanced features, please visit our documentation.
