ScraXBRL

SEC Edgar Scraper and XBRL Parser/Renderer

To use:<br>

1. Install requirements from requirements.txt<br>
2. Change settings.py to fit your needs. Raw scraped data will be stored in data/raw_data and<br> extracted data will be stored in data/extracted_data by default.<br>
3. Run python main.py. This will begin the scrape and extract process.<br>
4. To view data in terminal (data must have already been scraped from the SEC EDGAR website): Data is stored in a pickle file. To use DataViewer, create instance of DataView class and enter<br> the necessary parameters (ticker_symbol, filing_date, filing_type). The data will then be stored in<br> [instance name].data, and it is an OrderedDict.