Parse SEC 424B Prospectus Filings with Python

EdgarTools adds a Python parser for SEC 424B prospectus filings — extract IPO pricing, underwriting syndicates, offering types, deal terms, shelf lifecycle data, and selling stockholder tables from SEC EDGAR into structured Python objects and DataFrames.

I learnt XBRL mappings from 32,000 SEC Filings

EdgarTools 5.22.0 introduces data-driven XBRL standardization built from 32,240 real SEC filings, with industry-aware concept mappings, multi-year statement stitching, and IFRS support for Python developers working with SEC EDGAR data.

You don't need a vector store

In Edgar.tools we built Disclosure Search for SEC filings without a vector store. No embeddings, no RAG pipeline, no inference cost per query. Then a user proved why it worked.

What Seattle's Super Bowl Win Reveals About Coding With AI

The best developers aren't writing every line anymore — they're composing systems from concepts. A Super Bowl-winning defensive system reveals the blueprint for building software with AI

Parsing SEC 13F Holdings 8x Faster

Get SEC 13F-HR hedge fund holdings data in Python with edgartools. See how holdings change over time with quarter-over-quarter comparison — now parsing 8x faster

Get BDC data with EdgarTools

BDC are publicly traded investment funds that lend money to private companies. Now you can access their data with edgartools

Beware AI bots bearing good code

How a bot submitted a PR to edgartools that fixed a tricky XBRL bug, what I did about it and how you can handle AI bots in the future

Pandas 3.0 and edgartools

How a dependency issue with pandas was fixed in edgartools

Financial statement dimensions

XBRL dimensions are powerful but messy—they can clutter your statements with segment breakdowns you didn't ask for. Recent edgartools releases introduce smarter defaults and a new view parameter that lets you choose between summary, standard, and detailed output