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.

_{Built with AI-assisted development • 3-10x faster velocity • Support this project}

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.

Lightning Fast 10-30x faster than alternatives Optimized with lxml & PyArrow	AI Native Built-in MCP server for Claude LLM-optimized text extraction	Production Quality 1000+ tests, type hints Battle-tested by analysts
XBRL Native Full XBRL standardization Cross-company comparisons	Rich Data Objects Smart parsing for every form Pandas-ready DataFrames	Open Source 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("[email protected]")

# 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 transactions
filings = company.get_filings(form="4")
form4_filing = filings[0]
form4 = form4_filing.obj()

Use Cases

Analyze 13F Institutional Holdings & Hedge Fund Portfolios

Track what hedge funds and institutional investors own by parsing SEC 13F filings. EdgarTools extracts complete portfolio holdings with position sizes, values, and quarter-over-quarter changes.

from edgar import get_filings
thirteenf = get_filings(form="13F-HR")[0].obj()
thirteenf.holdings  # DataFrame of all portfolio positions

Track Insider Trading with SEC Form 4

Monitor insider buying and selling activity from SEC Form 4 filings. See which executives are purchasing or selling shares, option exercises, and net position changes.

company = Company("TSLA")
form4 = company.get_filings(form="4")[0].obj()
form4.transactions  # Insider buy/sell transactions

Extract Financial Statements from 10-K and 10-Q Filings

Get income statements, balance sheets, and cash flow statements from SEC annual and quarterly reports. Data is parsed from XBRL with standardized labels for cross-company comparison.

financials = Company("MSFT").get_financials()
financials.balance_sheet()   # Balance sheet with all line items
financials.income_statement()  # Revenue, net income, EPS

Parse 8-K Current Reports for Corporate Events

Access material corporate events as they happen -- earnings releases, acquisitions, executive changes, and more. EdgarTools parses 8-K filings into structured items with full text extraction.

eightk = get_filings(form="8-K")[0].obj()
eightk.items  # List of reported event items

Query XBRL Financial Data Across Companies

Access structured XBRL financial facts for any SEC filer. Query specific line items like revenue or total assets over time, and compare across companies using standardized concepts.

facts = Company("AAPL").get_facts()
facts.to_pandas("us-gaap:Revenues")  # Revenue history as DataFrame

Comprehensive SEC Data Access

EdgarTools supports all SEC form types including 10-K annual reports, 10-Q quarterly filings, 8-K current reports, 13F institutional holdings, Form 4 insider transactions, proxy statements (DEF 14A), and S-1 registration statements. Parse XBRL financial data, extract text sections, and convert filings to pandas DataFrames.

Comparison with Alternatives

Feature	EdgarTools	sec-api (paid)	OpenEDGAR	Manual Scraping
AI/MCP Integration
Cost	Free	$150+/mo	Free	Free
Speed	10-30x baseline	Fast (API)	Slow	Slow
XBRL Support	Full	Partial
Financial Statements	Parsed	Parsed	Basic	DIY
LLM-Ready Output
Type Hints
Rate Limiting	Auto	N/A (API)	Manual	Manual
Open Source	MIT	Proprietary	Apache	N/A

Use EdgarTools with Claude Code & Claude Desktop

EdgarTools provides AI Skills that enable Claude and other AI assistants to perform sophisticated SEC filing analysis. Once configured, you can ask Claude questions like:

• "Compare Apple and Microsoft's revenue growth rates over the past 3 years"
• "Which Tesla executives sold more than $1 million in stock in the past 6 months?"
• "Find all technology companies that filed proxy statements with executive compensation changes"

Claude will write the Python code, execute it, and explain the results - all powered by EdgarTools.

pip install "edgartools[ai]"
python -c "from edgar.ai import install_skill; install_skill()"

pip install "edgartools[ai]"
python -m edgar.ai

{
  "mcpServers": {
    "edgartools": {
      "command": "python",
      "args": ["-m", "edgar.ai"],
      "env": {
        "EDGAR_IDENTITY": "Your Name [email protected]"
      }
    }
  }
}

Support AI Powered Development

I build and maintain EdgarTools solo using AI-assisted development. Your support directly funds the Claude Max subscription that makes this extraordinary velocity possible.

The Virtuous Cycle

You Support Buy Me A Coffee contributions fund Claude Max

AI Acceleration Specialized agents deliver 3-10x faster development

Rapid Delivery Features in days instead of weeks 24 releases / 60 days

You Benefit More features, faster fixes, free forever

Real Impact: Last 60 Days

24 Releases 1 every 2.5 days

322 Commits 5.4 per day

3-10x Velocity vs traditional dev

Days Not Weeks for major features

Recent Examples

What your support enables:

• Claude Max subscription (AI agents that write, test, and document code)
• Continued 3-10x development velocity (features in days, not weeks)
• Rapid response to SEC format changes and bug reports
• New features based on community needs
• Free access for everyone, forever (no API keys, no rate limits)

Alternative ways to support:

• Star the repo on GitHub
• Report bugs and contribute fixes
• Improve documentation
• Answer questions in Discussions
• Share EdgarTools with colleagues

Corporate users: If your organization depends on EdgarTools for SEC compliance or regulatory reporting, GitHub Sponsors offers strategic sponsorship options designed for mission-critical dependencies.

Documentation & Resources

• User Journeys / Examples
• Quick Guide
• Full API Documentation
• EdgarTools Blog

Get Help & Connect

• GitHub Issues - Bug reports and feature requests
• Discussions - Questions and community discussions

Contributing

We welcome contributions from the community! Here's how you can help:

• Code: Fix bugs, add features, improve documentation
• Examples: Share interesting use cases and examples
• Feedback: Report issues or suggest improvements
• Spread the Word: Star the repo, share with colleagues

See our Contributing Guide for details.

EdgarTools is distributed under the MIT License

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