Quick Start

>>> from scrapers.options import OptionScraper
>>> option_scraper = OptionScraper()
>>> option_scraper.get_data('GOOG')
{
    'underlying': '34.11',
    expiration_date1: {
        'puts': {
            ...
        },
        'calls': {
            ...
        }
    },
    expiration_date2: {
        ...
    },
    ...
}

expiration_date is a string formatted the same as yahoo.

The 'puts' and 'calls' dictionaries will contain key/value pairs for all the available data from yahoo, which at the time is:

• 'strike'
• 'name'
• 'last'
• 'bid'
• 'ask'
• 'change'
• '%change'
• 'volume'
• 'interest'
• 'volatility'

All values are python strings.

Stock Data

Get data for a single stock:

>>> from scrapers.stocks import StockScraper
>>> stock_scraper = StockScraper()
>>> stock_scraper.get_data('AAPL')
    {
        'name': 'AAPL',
        'current': '300.00',
        'close': '299.76',
        ...
    }

Or you can retrieve a list of stocks:

>>> stock_scraper.get_data(['AAPL', 'XON', 'GPRO'])

Bond Data

>>> from scrapers.bonds import BondScraper
>>> bond_scraper = BondScraper()
>>> bond_scraper.get_data()

    {
        'treasury': {
            '3 month': {
                'yield': '0.00',
                ...
            },
            ...
        },
        ...
    }

Mutual Fund Data

>>> from scrapers.mutual_funds import MutualFundScraper
>>> mf_scraper = MutualFundScraper()
>>> mf_scraper.get_risk_data('GFFRX')

    {
        'GFFRX': {
            '10 years': {
                'alpha': u'N/A',
                ...
            },
            '3 years': {
                'alpha': u'-1.39',
                ...
            },
            ...
        }
    }

Also, you can directly get the expense ratio:

>>> mf_scraper.get_expense_ratio(['GFFRX', 'MDCAX'])

    {
        'GFFRX': '1.76',
        'MDCAX': '1.40'
    }

CSV Exports

>>> stock_scraper.export_to_csv()

or

>>> stock_scraper.export_to_csv(filename='somerandomfilename.csv')

Lots more functionality to come. Stay tuned!