Pegue a mesa Python Pandas
from selenium import webdriver
import pandas as pd
import time
#Set up driver
url = 'yourwebsite.com'
driver.get(url)
time.sleep(4) #This is only needed if the table is dynamic
html = driver.page_source
df_list = pd.read_html(html)
df = df_list[-1]
df.to_csv('table.csv')
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