{"repo":"alphanome-ai/sec-parser","free":true,"listed":false,"github":"https://github.com/alphanome-ai/sec-parser","clone":"git clone https://github.com/alphanome-ai/sec-parser.git","description":"Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.","language":"Python","stars":291,"topics":["10-k","10-q","edgar-scraper","filings","finance","financial-data","financial-filings","html-parser","sec-edgar","nlp"],"license":"MIT","category":"machine-learning","readme_excerpt":"  This repository is no longer maintained.   SEC-parser Essentials ➔       Health ➔              Quality ➔             Distribution ➔    Community ➔     Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual structure of the document. See Demo Read Docs Join Discussions Join Discord Overview The sec-parser project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. Semantic elements might include section titles, paragraphs, and tables, each classified for easier data manipulation. This forms a semantic tree that corresponds to the visual and informational structure of the document. If you're familiar with the Image Semantic Segmentation concept, it's the same but applied to HTML documents. This tool is especially beneficial for Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLM) applications by streamlining data pre-processing and feature extraction. - Explore the Demo - Read the Documentation - Join the Discussions to get help, propose ideas, or chat with the community - Become part of our Discord community - Report bugs in Issues - Stay updated and contribute to our project's direction in Announcements and Roadmap - Learn How to C","default_branch":null,"files":null,"tree":[],"storefront":"/r/alphanome-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/alphanome-ai/sec-parser/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}