import requests
from bs4 import BeautifulSoup
import csv
 
page = 'https://gg.co.uk/tips/today'
tree = requests.get(page, headers = headers)
soup = BeautifulSoup(tree.content, 'html.parser')
 
courseLinks = []
links = soup.select("a.winning-post")
 
for i in range(0,1):   
    courseLinks.append(links[i].get("href"))
    
    #For each location that we have taken, add the website before it - this allows us to call it later
for i in range(len(courseLinks)):
    courseLinks[i] = "https://gg.co.uk"+courseLinks[i]  

profileLinks = []
 
#Run the scraper through each of our links
for i in range(len(courseLinks)):
 
    page = courseLinks[i]
    tree = requests.get(page, headers = headers)
    soup = BeautifulSoup(tree.content, 'html.parser')
 
    #Extract all links
    links = soup.select("a.horse")
     
    #For each link, extract the location that it is pointing to
    for j in range(len(links)):
        profileLinks.append("https://gg.co.uk" + links[j].get("href"))
           
 
    #The page list the profile 
    profileLinks = list(set(profileLinks))
    

for i in range(len(profileLinks)):
 
    page = profileLinks[i]
    tree = requests.get(page, headers = headers)
    soup = BeautifulSoup(tree.content, 'html.parser') 
 
#find tables data
tableData = soup.find_all('table', id='results-profile' )
last_links = soup.find(class_='border-bottom alt')
last_links.decompose()
 
for tables in tableData:
    for cell in tables.find_all('td'):
        print (cell.text)