current code

import pandas as pd
from bs4 import BeautifulSoup as bs
from selenium import webdriver
import threading
from multiprocessing.pool import ThreadPool
import os
import re
from math import nan

pd.set_option('display.max_rows', 30000)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

os.chdir(r"G:\My Drive\Oddsportal\Webdriver")
cwd = os.getcwd()


class Driver:
    def __init__(self):
        options = webdriver.ChromeOptions()
        options.add_argument("--headless")
        # Un-comment next line to supress logging:
        options.add_experimental_option('excludeSwitches', ['enable-logging'])
        self.driver = webdriver.Chrome(options=options)

    def __del__(self):
        self.driver.quit()  # clean up driver when we are cleaned up
        # print('The driver has been "quitted".')


threadLocal = threading.local()


def create_driver():
    the_driver = getattr(threadLocal, 'the_driver', None)
    if the_driver is None:
        the_driver = Driver()
        setattr(threadLocal, 'the_driver', the_driver)
    return the_driver.driver


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 generate_matches(table):
    tr_tags = table.findAll('tr')
    for tr_tag in tr_tags:
        if 'class' in tr_tag.attrs and 'dark' in tr_tag['class']:
            th_tag = tr_tag.find('th', {'class': 'first2 tl'})
            a_tags = th_tag.findAll('a')
            country = a_tags[0].text
            league = a_tags[1].text
        else:
            td_tags = tr_tag.findAll('td')
            yield [td_tags[0].text, td_tags[1].text, td_tags[2].text, td_tags[3].text,
                   td_tags[4].text, td_tags[5].text, country, league]


def parse_data(url, return_urls=False):
    browser = create_driver()
    browser.get(url)
    soup = bs(browser.page_source, "lxml")
    div = soup.find('div', {'id': 'col-content'})
    table = div.find('table', {'class': 'table-main'})
    h1 = soup.find('h1').text
    print(h1)
    m = re.search(r'\d+ \w+ \d{4}$', h1)
    game_date = m[0]
    game_data = GameData()
    for row in generate_matches(table):
        game_data.date.append(game_date)
        game_data.time.append(row[0])
        game_data.game.append(row[1])
        # Score present?
        if ':' not in row[2]:
            # No, shift a few columns right:
            row[5], row[4], row[3], row[2] = row[4], row[3], row[2], nan
        game_data.score.append(row[2])
        game_data.home_odds.append(nan if row[3] == '-' else row[3])
        game_data.draw_odds.append(nan if row[4] == '-' else row[4])
        game_data.away_odds.append(nan if row[5] == '-' else row[5])
        game_data.country.append(row[6])
        game_data.league.append(row[7])

    if return_urls:
        span = soup.find('span', {'class': 'next-games-date'})
        a_tags = span.findAll('a')
        urls = ['https://www.oddsportal.com' + a_tag['href'] for a_tag in a_tags]
        return game_data, urls
    return game_data


if __name__ == '__main__':
    results = None
    pool = ThreadPool(5)  # We will be getting, however, 7 URLs
    # Get today's data and the Urls for the other days:
    game_data_today, urls = pool.apply(parse_data, args=('https://www.oddsportal.com/matches/soccer', True))
    urls.pop(1)  # Remove url for today: We already have the data for that
    game_data_results = pool.imap(parse_data, urls)
    for i in range(8):
        game_data = game_data_today if i == 1 else next(game_data_results)
        result = pd.DataFrame(game_data.__dict__)
        if results is None:
            results = result
        else:
            results = results.append(result, ignore_index=True)

    print(results)
    # print(results.head())
    # ensure all the drivers are "quitted":
    del threadLocal
    import gc

    gc.collect()  # a little extra insurance

# results = results[results['game'].str.contains("Paraguay")]

# print(results)

results.to_csv(r"G:\My Drive\Oddsportal\Files\Oddsportal Data\Pre-processed\oddsportal_upcoming_matches.csv")