Parsing sec filings. ), funds (ETFs, hedge funds, etc.

Parsing sec filings The semantic elements and tree structures created by the parser will serve as a solid foundation for your financial analysis and research tasks with the tools of your choice. Whether you’re a financial analyst, a data scientist, or someone interested in SEC filings, this guide provides examples and code snippets to help you get Mar 21, 2024 · Automating SEC Filings Analysis with Python: Introducing TickleMyFilings Yes, another article about Parsing Edgar. This is a bold-faced lie. public companies file a comprehensive financial report called a 10-K. I have been a very keen follower of the posts on this site. Jul 24, 2024 · How to write a custom SEC parser in 5 minutes SEC Parsers readme claims that only certain filing types are supported. Most/All SEC textual filings supported Might be done along the way: Jun 9, 2024 · Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual structure of the document. ITEM 1: Business, User Guide: Quick Start Welcome to the User Guide for sec-parser! This guide is designed to walk you through the fundamental steps needed to install and use the library for parsing SEC EDGAR HTML documents into semantic elements and trees. It includes . These reports are filed in HTML format, which can complicate automated parsing. Welcome to this Python tutorial on how to extract financial data from XBRL in SEC filings using Python. Built for financial analysts, data scientists, and AI developers who need reliable, production-ready access to SEC filings. Semantic elements might include section titles, paragraphs, and tables, each classified for easier data manipulation. Use cases include LLMs, NLP, and textual analysis. all caps / emphasis cap with handling for unique cases), one use detectors, adding parse_id, merging clean parse, xml tree construct into one function. This forms a Nov 20, 2020 · OpenEDGAR: Open Source Software for SEC EDGAR Analysis Legal instruments such as judicial opinions and contracts predominantly manifest in paper. Jun 16, 2021 · SEC EDGAR Filings APISEC API - Access SEC and EDGAR Data with Python sec-api is a Python package for searching and accessing the entire SEC EDGAR filings corpus, providing access to petabytes of regulatory data from public and private companies, insiders (directors, board members, etc. ), financial advisors, business development companies, and more. Do you know of any API (paid or free), tool or python package which can parse individual sections SEC 10-K filings? I'm looking for the individual sections of 10-K filings (e. It will improve quality of parsing, and dramatically increase speed. Changes: streaming, combined detectors (e. S. g. More will be added soon, or you can write your own! How to write a Custom Parser in 5 With the tools and examples provided, you can now dive into parsing and analyzing SEC filings. economy overall by increasing the efficiency, transparency, and fairness of the securities markets. Access SEC datasets through our standardized, fast-to-implement APIs, such as Form ADV data, SEC litigations and administrative proceedings, extracted sections from 10-K, 10-Q and 8-K filings, read and parse XBRL files, monitor executive compensation data, insider trading and institutional investment activity. ), funds (ETFs, hedge funds, etc. Average parse-time for a 100 page document is 0. Jul 29, 2024 · A package to parse SEC filingsSEC Parsers Parses non-standardized SEC filings into structured xml. Finding structure in SEC filings Every year, U. The sec-parser project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. Package is a WIP, and is updated frequently. Containing millions of company and individual filings, EDGAR benefits investors, corporations, and the U. You will learn how to convert XBRL data into a pandas dataframe, extract income statements and balance sheets from 10-K filings, and build financial tables from EDGAR XBRL files. In this series, we begin the top Jan 7, 2022 · Discover how to automate data extraction from SEC 10-K, 10-Q, and 8-K forms, including popular methods, benefits, and useful datasets. Search Filings Enjoy free public access to millions of informational documents filed by publicly traded companies and others in the SEC's Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system. EdgarTools is the fastest, most powerful open-source library for SEC EDGAR data extraction. I have been working We can comfortably get, at this point, most of the filings we want from a range of different directories on the SEC website. 4 seconds. Traditional approaches to extracting data from these HTML tables are challenging, time-consuming, and often imprecise. SEC Parsers can parse almost every SEC textual Learn how to extract content from SEC EDGAR 10-K filings and use pandas to convert extracted financial statements from HTML tables into dataframes. This article explores OpenEDGAR, an open source tool that helps move law into a more computational direction by automating the process for retrieving, parsing, and indexing SEC Filings. Supported filing types are 10-K, 10-Q, 8-K, S-1, 20-F. Nov 10, 2025 · Built with AI-assisted development • 3-10x faster velocity • Support this project Why EdgarTools? EdgarTools is the fastest, most powerful open-source library for SEC EDGAR data extraction. konfwr tueav beyn wuppy ies sjw tsinyjni cfurdg ujgks elzt sobqu zvtwwor oezewi dvh kett