yahoo_csv.py

import requests
import re
import pandas as pd
import csv

from random import choice
from bs4 import BeautifulSoup
from datetime import datetime
from time import mktime

class Stock():
    def __init__(self, stock, interval, begin_date, end_date):
        self.stock = stock
        self.interval = interval
        self.url = 'https://finance.yahoo.com/quote/{0}/history'.format(stock)
        self.begin_date = self._convert_to_unix(begin_date)
        self.end_date = self._convert_to_unix(end_date)
        self._request()
    
    def _convert_to_unix(self, date):
        return int(mktime(datetime.strptime(date, '%d-%m-%Y').timetuple()))

    def _load(self, data):
        [self.crumb] = re.findall('"CrumbStore":{"crumb":"(.+?)"}', str(
            BeautifulSoup(data.text, 'lxml')
        ))
        self.cookies = data.cookies
        self.csv_url = 'https://query1.finance.yahoo.com/v7/finance/download/{0}?period1={1}&period2={2}&interval={3}&events=history&crumb={4}'.format(
            self.stock, self.begin_date, self.end_date, self.interval, self.crumb
        )

    def _request(self):
        req = requests.get(self.url)
        self._load(
            req
        )

    def get(self):
        _csv = requests.get(self.csv_url, cookies=self.cookies, verify=False)
        decoded_content = _csv.content.decode('utf-8')
        cr = csv.reader(decoded_content.splitlines(), delimiter=',')
        for row in list(cr):
            print(row)

def main():
    amzn = Stock('AMZN', '1d', "03-03-2019", "03-04-2019")
    omg_my_shares_are_up = amzn.get()
    print(omg_my_shares_are_up)

if __name__ == "__main__":
    main()