dustman9000/scraxbrl

SEC Edgar Scraper and XBRL Parser/Renderer

ScraXBRL

SEC Edgar Scraper and XBRL Parser/Renderer

To use:

1. Install requirements from requirements.txt
   
2. Change settings.py to fit your needs. Raw scraped data will be stored in data/raw_data and
   extracted data will be stored in data/extracted_data by default.
   
3. Run python main.py. This will begin the scrape and extract process.
   
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
   the necessary parameters (ticker_symbol, filing_date, filing_type). The data will then be stored in
   [instance name].data, and it is an OrderedDict.

Docker Support

To avoid installing conflicting pip modules on your host machine, you can use Docker to run your scrape and extract.

Build Docker image:

docker build -t scraxbrl .

Run docker:

docker run -v scraxbrl-data:/app/data/ -it scraxbrl bash