thepycoach

#changing chromedriver default options
options = Options()
options.headless = True
options.add_argument('window-size=1920x1080') #Headless = True

web = 'https://sports.tipico.de/en/live/soccer'
path = '/Users/.../chromedriver' #introduce your file's path inside '...'

#execute chromedriver with edited options
driver = webdriver.Chrome(path, options=options)

thepycoach

#Make ChromeDriver click a button
#option 1
accept = WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.XPATH, '//*[@id="_evidon-accept-button"]')))
#option 2
# time.sleep(2)
# accept = driver.find_element_by_xpath('//*[@id="_evidon-accept-button"]')

#Initialize your storage
teams = []
x12 = []

thepycoach

#update 2
#Looking for live events 'Program_LIVE'
box = driver.find_element_by_xpath('//div[contains(@testid, "Program_UPCOMING")]') #updated
#Looking for 'sports titles'
sport_title = box.find_element_by_class_name('SportTitle-styles-sport') #updated

thepycoach

# update 3 (commented code not necesssary anymore)
# for sport in sport_title:
    # selecting only football
#     if sport.text == 'Football':
parent = sport_title.find_element_by_xpath('./..') #immediate parent node
# update 4 (+3 times .find_element_by_xpath('./..'))
grandparent = parent.find_element_by_xpath('./..').find_element_by_xpath('./..').find_element_by_xpath('./..').find_element_by_xpath('./..')
#3. empty groups
try:
    empty_groups = grandparent.find_elements_by_class_name('EventOddGroup-styles-empty-group')

thepycoach

#Looking for single row events
single_row_events = grandparent.find_elements_by_class_name('EventRow-styles-event-row')
#4 Remove empty events from single_row_events
try:
    empty_events
    single_row_events = [single_row_event for single_row_event in single_row_events if single_row_event not in empty_events]
except:
    pass

thepycoach

#Getting data
for match in single_row_events:
    #'odd_events'
    odds_event = match.find_elements_by_class_name('EventOddGroup-styles-odd-groups')
    odds_events.append(odds_event)
    # Team names
    for team in match.find_elements_by_class_name('EventTeams-styles-titles'):
        teams.append(team.text)
#Getting data: the odds        
for odds_event in odds_events:

thepycoach

import pandas as pd
import pickle

#7 #unlimited columns
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

#Storing lists within dictionary
dict_gambling = {'Teams': teams, 'btts': btts,

thepycoach

#import libraries
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time

thepycoach

#1.#transforming data bookie 1,2 and 3
df_tipico = pickle.load(open('df_tipico','rb'))
df_tipico = df_tipico[['Teams', 'btts']]
df_tipico = df_tipico.replace(r'', '0\n0', regex=True)#odds with no values
df_tipico = df_tipico.replace(r'^\d+\.\d+$', '0\n0', regex=True)#odds with only one element

df_bwin = pickle.load(open('df_bwin','rb'))
df_bwin = df_bwin[['Teams', 'btts']]
df_bwin = df_bwin.replace(r'', '0\n0', regex=True)
df_bwin = df_bwin.replace(r'^\d+\.\d+$', '0\n0', regex=True)

thepycoach

#2.String matching
teams_1 = df_tipico['Teams'].tolist()
teams_2 = df_bwin['Teams'].tolist()
teams_3 = df_betfair['Teams'].tolist()

#team names and scores matched
df_tipico[['Teams_matched_bwin', 'Score_bwin']] = df_tipico['Teams'].apply(lambda x:process.extractOne(x, teams_2, scorer=fuzz.token_set_ratio)).apply(pd.Series)
df_tipico[['Teams_matched_betfair', 'Score_betfair']] = df_tipico['Teams'].apply(lambda x:process.extractOne(x, teams_3, scorer=fuzz.token_set_ratio)).apply(pd.Series)
df_bwin[['Teams_matched_betfair', 'Score_betfair']] = df_bwin['Teams'].apply(lambda x:process.extractOne(x, teams_3, scorer=fuzz.token_set_ratio)).apply(pd.Series)