example.py

#!/usr/bin/python3

from finviz.screener import Screener

# Get dict of available filters
# filters dict contains the corresponding filter tags
filters = Screener.load_filter_dict()
some_filters = [filters['PEG']['Under 1'],
                filters['Exchange']['AMEX']]
stock_list = Screener(filters=some_filters, order='ticker')

# Use raw filter tags in a list
# filters = ['geo_usa']
filters = ['idx_sp500']  # Shows companies in the S&P500
print("Filtering stocks..")
stock_list = Screener(filters=filters, order='ticker')
print("Parsing every stock..")
stock_list.get_ticker_details()

# Export the screener results to CSV file
stock_list.to_csv('sp500.csv')

# Create a SQLite database
# stock_list.to_sqlite('sp500.sqlite')