Scraping historical Data

import pandas as pd
from selenium import webdriver
from bs4 import BeautifulSoup as bs


browser = webdriver.Chrome()


class GameData:

    def __init__(self):
        self.date = []
        self.time = []
        self.game = []
        self.score = []
        self.home_odds = []
        self.draw_odds = []
        self.away_odds = []
        self.country = []
        self.league = []


def parse_data(url):
    browser.get(url)
    df = pd.read_html(browser.page_source, header=0)[0]
    html = browser.page_source
    soup = bs(html, "lxml")
    cont = soup.find('div', {'id': 'wrap'})
    content = cont.find('div', {'id': 'col-content'})
    content = content.find('table', {'class': 'table-main'}, {'id': 'tournamentTable'})
    main = content.find('th', {'class': 'first2 tl'})
    if main is None:
        return None
    count = main.findAll('a')
    country = count[1].text
    league = count[2].text
    game_data = GameData()
    game_date = None
    for row in df.itertuples():
        if not isinstance(row[1], str):
            continue
        elif ':' not in row[1]:
            game_date = row[1].split('-')[0]
            continue
        game_data.date.append(game_date)
        game_data.time.append(row[1])
        game_data.game.append(row[2])
        game_data.score.append(row[3])
        game_data.home_odds.append(row[4])
        game_data.draw_odds.append(row[5])
        game_data.away_odds.append(row[6])
        game_data.country.append(country)
        game_data.league.append(league)
    return game_data


urls = {
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/1",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/2",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/3",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/4",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/5",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/6",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/7",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/8",
"https://www.oddsportal.com/soccer/england/premier-league/results/#/page/9",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/1",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/2",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/3",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/4",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/5",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/6",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/7",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/8",
"https://www.oddsportal.com/soccer/england/premier-league-2019-2020/results/#/page/9",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/1",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/2",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/3",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/4",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/5",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/6",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/7",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/8",
"https://www.oddsportal.com/soccer/england/premier-league-2018-2019/results/#/page/9",
}

if __name__ == '__main__':

    results = None

    for url in urls:
        game_data = parse_data(url)
        if game_data is None:
            continue
        result = pd.DataFrame(game_data.__dict__)
        if results is None:
            results = result
        else:
            results = results.append(result, ignore_index=True)

print(results)