https://datarecipe.com/save-multiple-stock-data-using-pandas-datareader-5239e40a539c

pull_data

def pull_data():
  ticker_symbols, start_date, end_date, data_source, directory, file_extension = set_variables()
  start = string_to_date_time(start_date)
  end = string_to_date_time(end_date)
  for ticker_symbol in ticker_symbols:
    df = web.DataReader(ticker_symbol, data_source, start, end)
    save_data(df, directory, ticker_symbol, start_date, end_date, file_extension)

def string_to_date_time(s):
  sy = int(s[:4])
  sm = int(s[5:7])
  sd = int(s[8:])
  return datetime.datetime(sy, sm, sd)