EdgarTools - Python Library for SEC EDGAR Filings

The AI Native Python library for SEC EDGAR Data

The only SEC EDGAR library built from the ground up for AI agents and LLMs. Extract financial data in 3 lines of code instead of 100+. Production-ready MCP server included.

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EdgarTools is a Python library for downloading and analyzing SEC EDGAR filings. Extract 10-K, 10-Q, 8-K reports, parse XBRL financial statements, and access insider trading data (Form 4) with a simple Python API. Free and open-source.

Why EdgarTools?

EdgarTools is the fastest, most powerful open-source library for SEC EDGAR data extraction. Built for financial analysts, data scientists, and AI developers who need reliable, production-ready access to SEC filings.

<b>Lightning Fast</b>
10-30x faster than alternatives
Optimized with lxml & PyArrow

<b>AI Native</b>
Built-in MCP server for Claude
LLM-optimized text extraction

<b>Production Quality</b>
1000+ tests, type hints
Battle-tested by analysts

<b>XBRL Native</b>
Full XBRL standardization
Cross-company comparisons

<b>Rich Data Objects</b>
Smart parsing for every form
Pandas-ready DataFrames

<b>Open Source</b>
MIT license, community-driven
Transparent & auditable

How It Works

# Install the SEC EDGAR Python library
pip install edgartools

# Set your identity (required by SEC regulations)
from edgar import *
set_identity("your.name@example.com")

# Get SEC 10-K, 10-Q filings and XBRL financial statements
balance_sheet = Company("AAPL").get_financials().balance_sheet()

# Access any company's SEC filings
company = Company("MSFT")

# Parse Form 4 insider trading tra