thepycoach

sport_title = box.find_elements_by_class_name('SportTitle-styles-sport')

thepycoach

            for odds_event in odds_events:
                for n, box in enumerate(odds_event):
                    rows = box.find_elements_by_xpath('.//*')
                    if n == 0:
                        x12.append(rows[0].text)
driver.quit()

thepycoach

from selenium import webdriver
import time

thepycoach

        #Single row event
        single_row_events = grandparent.find_elements_by_class_name('EventRow-styles-event-row')

thepycoach

        for match in single_row_events:
            odds_event = match.find_elements_by_class_name('EventOddGroup-styles-odd-groups')
            odds_events.append(odds_event)
            # teams
            for team in match.find_elements_by_class_name('EventTeams-styles-titles'):
                teams.append(team.text)

thepycoach

teams_example = ['Barcelona', 'Madrid', 'Sevilla']
for team in teams_example:
  print(team)

thepycoach

teams_example = ['Barcelona', 'Madrid', 'Sevilla']
for team in teams_example:
  if team == 'Barcelona':
    print(team)

thepycoach

#Import Selenium
from selenium import webdriver
import pandas as pd
import time

#Writing our First Selenium Python Test
web = 'https://sports.tipico.de/en/all/football/spain/la-liga' #you can choose any other league (update 1)
path = '/Users/.../chromedriver'
driver = webdriver.Chrome(path)
driver.get(web)

thepycoach

def find_surebet(odds1, odds2):
    sum_odds = (1/odds1) + (1/odds2)
    if sum_odds<1:
        message = 'Surebet Found!'
    else:
        message = 'Keep scraping'
    return message

thepycoach

from sympy import symbols, Eq, solve
def beat_bookies(odds1, odds2, total_stake):
    x, y = symbols('x y')
    eq1 = Eq(x + y - total_stake, 0) # total_stake = x + y
    eq2 = Eq((odds2*y) - odds1*x, 0) # odds1*x = odds2*y
    stakes = solve((eq1,eq2), (x, y))
    total_investment = stakes[x] + stakes[y]
    profit1 = odds1*stakes[x] - total_stake
    profit2 = odds2*stakes[y] - total_stake
    benefit1 = f'{profit1 / total_investment * 100:.2f}%'