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A robust and efficient parser for SEC filings, designed to extract and analyze financial data with ease.

Project description

 

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GitHub Workflow Status (with event) License: MIT codecov PyPI version
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Overview

The sec-parser project simplifies the process of extracting meaningful information from SEC EDGAR HTML documents. It organizes the document's source code into a list or tree of elements that correspond to the visual structure of the document. This includes distinct elements for section titles, paragraphs, and tables, making the data easier to analyze and understand.

This tool is especially beneficial for Artificial Intelligence (AI) and Large Language Models (LLM) applications. It significantly improves the efficiency of data extraction and analysis in these fields.

Explore the Demo!

Installation

You can install sec-parser using pip:

pip install sec-parser

Usage

import sec_parser as sp

tree = sp.parse_latest("10-K", ticker="AAPL")

# Show the general structure of the tree
print(tree.render())

Console output:

RootSectionElement: PART I — FINANCIAL INFORMATION
├── TitleElement: Item 1. Financial Statements
│   ├── TitleElement: CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS (U...
│   │   ├── TextElement: (In millions, except number of shares which are re...
│   │   ├── TableElement: ...
│   ...

License

This project is licensed under the MIT License - see the LICENSE file for details.

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