Once you have the raw files, the next step is "Stage One" parsing to clean and prepare the text for NLP (Natural Language Processing).
The most efficient way to bulk-download 10-K filings is through the sec-edgar-downloader package. This tool handles SEC rate limiting automatically. Download 10K txt
: Use libraries like sec-edgar-downloader or scripts found on GitHub to pull filings for specific tickers or years. Once you have the raw files, the next
To download as .txt files and develop a text analysis pipeline, you can use specialized Python libraries or direct API access to the SEC EDGAR database . 1. Downloading 10-K Files as Text : Use libraries like sec-edgar-downloader or scripts found
: You can find raw text versions of filings directly on the SEC website. For example, a 10-K file link often looks like: https://www.sec.gov/Archives/edgar/data/[CIK]/[AccessionNumber].txt .
: Services like SEC-API.io provide a "Render API" to download filings as cleaned .txt files without HTML tags. 2. Developing the Text for Analysis