: 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
Once you have the raw files, the next step is "Stage One" parsing to clean and prepare the text for NLP (Natural Language Processing). Download 10K txt
: Use libraries like sec-edgar-downloader or scripts found on GitHub to pull filings for specific tickers or years. : Services like SEC-API
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 Download 10K txt