Scraping Champions League Shots On Target PaddyPower and Bet365 Python Selenium

Best Bets for Tuesday and Wednesdays Champions League Games

Stay tuned until the end of the article to get the best Positive Expected Value bets!

Bet365 Scraper

from supabase import create_client
import json
import pandas as pd
from datetime import date
import statsmodels
import numpy as np
import datetime
from datetime import datetime
import time
import pandas as pd
import numpy as np
import math #The Python math module
from scipy import stats #The SciPy stats module
import time
from selenium import webdriver
from selenium.webdriver import ChromeOptions
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
from webdriver_manager.chrome import ChromeDriverManager
import time
from selenium.webdriver.common.keys import Keys
from fractions import Fraction
from pybettor import convert_odds
from pybettor import implied_prob
from datetime import datetime

def driver_code():
    options = ChromeOptions()
    service = Service(executable_path=r'YOUR PATH HERE')

    useragentarray = [
        "Mozilla/5.0 (Linux; Android 13) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.5672.76…