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Metadata-Version: 2.3
Name: edgartools
Version: 4.25.0
Summary: Navigate Edgar filings with ease
Project-URL: Documentation, https://dgunning.github.io/edgartools/
Project-URL: Issues, https://github.com/dgunning/edgartools/issues
Project-URL: Source, https://github.com/dgunning/edgartools
Author-email: Dwight Gunning <dgunning@gmail.com>
License: MIT
Keywords: company,edgar,filings,finance,financial,python,reports,sec
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
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Description-Content-Type: text/markdown
<p align="center">
<a href="https://github.com/dgunning/edgartools">
<img src="docs/images/edgartools-logo.png" alt="EdgarTools Python SEC EDGAR library logo" height="80">
</a>
</p>
<h3 align="center">Python Library for SEC EDGAR Data Extraction and Analysis</h3>
<p align="center">
<a href="https://pypi.org/project/edgartools"><img src="https://img.shields.io/pypi/v/edgartools.svg" alt="PyPI - Version"></a>
<a href="https://github.com/dgunning/edgartools/actions"><img src="https://img.shields.io/github/actions/workflow/status/dgunning/edgartools/python-hatch-workflow.yml" alt="GitHub Workflow Status"></a>
<a href="https://www.codefactor.io/repository/github/dgunning/edgartools"><img src="https://www.codefactor.io/repository/github/dgunning/edgartools/badge" alt="CodeFactor"></a>
<a href="https://github.com/pypa/hatch"><img src="https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg" alt="Hatch project"></a>
<a href="https://github.com/dgunning/edgartools/blob/main/LICENSE"><img src="https://img.shields.io/github/license/dgunning/edgartools" alt="GitHub"></a>
<a href="https://pypi.org/project/edgartools"><img src="https://img.shields.io/pypi/dm/edgartools" alt="PyPI - Downloads"></a>
</p>
<p align="center">
<b>Extract financial data from SEC EDGAR filings in 3 lines of Python code instead of 100+. Access company financials, insider trades, fund holdings, and XBRL data with an intuitive API designed for financial analysis.</b>
</p>
![EdgarTools SEC filing data extraction demo](docs/images/edgartools-demo.gif)
## SEC Filing Data Extraction with Python
| With EdgarTools | Without EdgarTools |
|-----------------------------------------------|---------------------------------------------|
| ✅ Instant access to any filing since 1994 | ❌ Hours spent navigating SEC.gov |
| ✅ Clean Python API with intuitive methods | ❌ Complex web scraping code |
| ✅ Automatic parsing into pandas DataFrames | ❌ Manual extraction of financial data |
| ✅ Specialized data objects for each form type | ❌ Custom code for each filing type |
| ✅ One-line conversion to clean, readable text | ❌ Messy HTML parsing for text extraction |
| ✅ LLM-ready text extraction for AI pipelines | ❌ Extra processing for AI/LLM compatibility |
| ✅ Automatic throttling to avoid blocks | ❌ Rate limiting headaches |
## Apple's income statement in 1 line of code
```python
balance_sheet = Company("AAPL").get_financials().balance_sheet()
```
## 🚀 Quick Start (2-minute tutorial)
```python
# 1. Import the library
from edgar import *
# 2. Tell the SEC who you are (required by SEC regulations)
set_identity("your.name@example.com") # Replace with your email
# 3. Find a company
company = Company("MSFT") # Microsoft
# 4. Get company filings
filings = company.get_filings()
# 5. Filter by form
insider_filings = filings.filter(form="4") # Insider transactions
# 6. Get the latest filing
insider_filing = insider_filings[0]
# 7. Convert to a data object
ownership = insider_filing.obj()
```
![Apple SEC Form 4 insider transaction data extraction with Python](docs/images/aapl-insider.png)
## SEC Filing Analysis: Real-World Solutions
### Company Financial Analysis
**Problem:** Need to analyze a company's financial health across multiple periods.
![Microsoft SEC 10-K financial data analysis with EdgarTools](docs/images/MSFT_financial_complex.png)
[See full code](docs/examples.md#company_financial_analysis)
## 📚 Documentation
- [User Journeys / Examples](https://edgartools.readthedocs.io/en/latest/examples/)
- [Quick Guide](https://edgartools.readthedocs.io/en/latest/quick-guide/)
- [Full API Documentation](https://edgartools.readthedocs.io/)
- [EdgarTools Blog](https://www.edgartools.io)
## 👥 Community & Support
- [GitHub Issues](https://github.com/dgunning/edgartools/issues) - Bug reports and feature requests
- [Discussions](https://github.com/dgunning/edgartools/discussions) - Questions and community discussions
## 🔮 Roadmap
- **Coming Soon**: Enhanced visualization tools for financial data
- **In Development**: Machine learning integrations for financial sentiment analysis
- **Planned**: Interactive dashboard for filing exploration
## 🤝 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](CONTRIBUTING.md) for details.
## ❤️ Sponsors & Support
If you find EdgarTools valuable, please consider supporting its development:
<a href="https://www.buymeacoffee.com/edgartools" target="_blank">
<img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 40px !important;width: 144px !important;" >
</a>
Your support helps maintain and improve EdgarTools for the entire community!
## Key Features for SEC Data Extraction and Analysis
- **Comprehensive Filing Access**: Retrieve **any** SEC filing (10-K, 10-Q, 8-K, 13F, S-1, Form 4, etc.) since 1994.
- **Financial Statement Extraction**: Easily access **Balance Sheets, Income Statements, Cash Flows**, and individual line items using XBRL tags or common names.
- **SEC EDGAR API**: Programmatic access to the complete SEC database.
- **Smart Data Objects**: Automatic parsing of filings into structured Python objects.
- **Fund Holdings Analysis**: Extract and analyze **13F holdings** data for investment managers.
- **Insider Transaction Monitoring**: Get structured data from **Form 3, 4, 5** filings.
- **Clean Text Extraction**: One-line conversion from filing HTML to clean, readable text suitable for NLP.
- **Targeted Section Extraction**: Pull specific sections like **Risk Factors (Item 1A)** or **MD&A (Item 7)**.
- **AI/LLM Ready**: Text formatting and chunking optimized for AI pipelines.
- **Performance Optimized**: Leverages libraries like `lxml` and potentially `PyArrow` for efficient data handling.
- **XBRL Support**: Extract and analyze XBRL-tagged data.
- **Intuitive API**: Simple, consistent interface for all data types.
## 🤖 AI-Native Integration
EdgarTools is designed from the ground up to work seamlessly with AI agents and LLM applications:
### Interactive Documentation
Every major object includes rich, searchable documentation accessible via the `.docs` property:
```python
from edgar import Company
company = Company("AAPL")
# Beautiful rich display with full API documentation
company.docs
# Search documentation with BM25 ranking
company.docs.search("get financials")
# AI-optimized text output for LLM context
context = company.text(detail='standard', max_tokens=500)
```
**3,450+ lines of API documentation** covering Company, Filing, XBRL, and Statement objects - always at your fingertips!
### AI Skills System
Extensible skill packages for specialized SEC analysis:
```python
from edgar.ai import list_skills, export_skill
# List available skills
skills = list_skills()
# Export to Claude Desktop format
export_skill("sec-analysis", format="claude-desktop")
```
Skills include:
- **Tutorial documentation** (skill.md, workflows.md, objects.md)
- **API reference** (complete method documentation)
- **Helper functions** (pre-built analysis workflows)
### Model Context Protocol (MCP) Server
Run EdgarTools as an MCP server for Claude Desktop and other MCP clients:
```bash
pip install edgartools[ai]
python -m edgar.ai
```
Configure in Claude Desktop (`~/Library/Application Support/Claude/claude_desktop_config.json`):
```json
{
"mcpServers": {
"edgartools": {
"command": "python",
"args": ["-m", "edgar.ai"],
"env": {
"EDGAR_IDENTITY": "Your Name your.email@example.com"
}
}
}
}
```
Then ask Claude:
- *"Research Apple Inc with financials"*
- *"Analyze Tesla's revenue trends over the last 4 quarters"*
- *"Compare Microsoft and Google's cash positions"*
### Why AI-Native Matters
- **Zero Friction**: `.docs` property provides instant learning without leaving your REPL
- **Token Efficient**: `.text()` methods use research-backed markdown-kv format
- **Progressive Disclosure**: Three detail levels (minimal/standard/detailed) for different contexts
- **Searchable**: BM25 semantic search finds relevant information instantly
- **Extensible**: BaseSkill class enables third-party skill packages
See [AI Integration Guide](docs/ai-integration.md) for complete documentation *(coming soon)*.
---
EdgarTools is distributed under the [MIT License](LICENSE).
## 📊 Star History
[![Star History Chart](https://api.star-history.com/svg?repos=dgunning/edgartools&type=Timeline)](https://star-history.com/#dgunning/edgartools&Timeline)

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venv/lib/python3.10/site-packages/edgartools-4.25.0.dist-info/REQUESTED Normal file
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venv/lib/python3.10/site-packages/edgartools-4.25.0.dist-info/WHEEL Normal file
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Wheel-Version: 1.0
Generator: hatchling 1.26.3
Root-Is-Purelib: true
Tag: py3-none-any

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venv/lib/python3.10/site-packages/edgartools-4.25.0.dist-info/entry_points.txt Normal file
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[console_scripts]
edgartools-mcp = edgar.ai.mcp_server:main

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venv/lib/python3.10/site-packages/edgartools-4.25.0.dist-info/licenses/LICENSE.txt Normal file
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MIT License
Copyright (c) 2022-present Dwight Gunning <dgunning@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.