09_selenium_dropdown_selection.py

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.select import Select
import time 

# Set up Safari WebDriver
driver = webdriver.Safari()
# Maximize the Safari window
driver.maximize_window()
# Navigate to the website
driver.get("https://www.adamchoi.co.uk/overs/detailed")


#------------ Dropdown Selection --------- #
dropdown = driver.find_element(By.ID, "country")
# Wrap the dropdown element in a Select object
dropdown_select = Select(dropdown)

# Select an option by visible text
dropdown_select.select_by_visible_text("Spain")
#---------------------------------------------#

time.sleep(2)


# Find the element using xpath
all_matches_button = driver.find_element(By.XPATH, '//*[@id="page-wrapper"]/div/home-away-selector/div/div/div/div/label[2]')
all_matches_button.click()

matches = driver.find_elements(By.TAG_NAME, 'tr')

date = []
home_team = []
score = []
away_team = []

# X Path indexing starts with 1, Unlike python's 0 
for i in range(5):
    date.append(matches[i].find_element(By.XPATH, './td[1]').text)
    home_team.append((matches[i].find_element(By.XPATH, './td[2]').text))
    score.append((matches[i].find_element(By.XPATH, './td[3]').text))
    away_team.append((matches[i].find_element(By.XPATH, './td[4]').text))

    # Printing for checking process and debugging
    print(home_team[i])


import pandas as pd

# Create a dictionary with the variables
data = {
    'Date': date,
    'Home Team': home_team,
    'Score': score,
    'Away Team': away_team
}

# Create a dataframe
df = pd.DataFrame(data)

# Export Data as CSV
df.to_csv('spain_football_matches.csv', index=False)