Scrape tables with python

Question

I am trying to scrape tables and convert them into data.tables in python, but I have little luck of election data in USA. This is html of the data I want to scrape.

Answer 1

So after some time I managed to scrape all data from this website. So the main problem was, that website was embedded in JavaScript, so I could not scrape with Beautifulsoup. So I used selenium + beautifulsoup4, to convert page into html and scrape it.

from selenium import webdriver
import time
import os
from bs4 import BeautifulSoup
chrome_path = r"C:\Users\Desktop\chromedriver_win32\chromedriver.exe"
driver = webdriver.Chrome(chrome_path)
driver.get('http://www.politico.com/2016-election/primary/results/map/president/arizona/')
time.sleep(80)
driver.execute_script("window.scrollTo(0, document.body.scrollHeight);")
time.sleep(5)
html = driver.page_source
soup = BeautifulSoup(html,'html.parser')
for posts in soup.findAll('table',{'class':'results-table'}):
for tr in posts.findAll('tr'):
    popular = [td for td in tr.stripped_strings]
    print(popular)

Because it is dynamic webpage, I needed to simulate some things with selenium. Like scrolling page down. I used time.sleep(60) so the page could load. It loads really slowly, so I set time to 60s. Hope it helps someone.