diff --git a/allChampions_scrapper.py b/allChampions_scrapper.py
index 7b181169c132af5a40bc54e3276b10290617db84..9125d776c2258f09020b0a65f61ddd81a6791c92 100644
--- a/allChampions_scrapper.py
+++ b/allChampions_scrapper.py
@@ -17,6 +17,12 @@ driver = webdriver.Chrome("chromedriver.exe")
 driver.get("https://leagueoflegends.fandom.com/wiki/List_of_champions")
 
 champion_names = []
+champion_role1 = []
+champion_role2 = []
+champion_last_patch_change= []
+champion_ability_cost_type = []
+champion_range_type = []
+champion_damage_type = []
 
 content = driver.page_source
 
@@ -30,11 +36,56 @@ for i in table_rows:
     
     champion_names.append(i['data-sort-value'])
         
+    role1 = i.find_next('td')
+    role2 = role1.find_next('td')
+    
+    champion_role1.append(role1['data-sort-value'])
+    
+    if 'data-sort-value' in role2.attrs:
+      champion_role2.append(role2['data-sort-value'])
+      
+    last_change = role2.find_next('td').find_next('td')
+    
+    champion_last_patch_change.append(last_change.find('a')['title'])
+    
+    
+    champion_info_url = "https://leagueoflegends.fandom.com/" + i.find('a')['href']
+    
+    driver.get(champion_info_url)
+    
+    champion_info_content = driver.page_source
+
+    champion_info_soup = BeautifulSoup(champion_info_content, 'html.parser')
+    
+    champion_info_table = champion_info_soup.find('tbody')
+    
+    # Needs two find_next commands to skip the first section ("Role") - There may be a more elegant way to do this.
+    champion_other_info = champion_info_table.find_next('th', {'class' : 'data-label'}).find_next('th', {'class' : 'data-label'})
+    
+    
+    champion_other_info = champion_other_info.find_next('td', {'class' : 'data-value'})
+    
+    champion_ability_cost_type_info = champion_other_info.find_next('span')
+    champion_ability_cost_type.append(champion_ability_cost_type_info['data-param'])
+    
+    
+    champion_range_type_info = champion_other_info.find_next('span').find_next('span')
+    champion_range_type.append(champion_range_type_info['data-param'])
+    
+    
+    champion_damage_type_info = champion_other_info.find_next('span').find_next('span').find_next('span')
+    champion_damage_type_info = champion_damage_type_info.find_next('a')
+    champion_damage_type.append(champion_damage_type_info.get_text())
+    
+        
 driver.close()
 
-all_champions = pd.DataFrame({'Champion Name': champion_names}) 
+
+all_champions_info = pd.DataFrame({'Champion Name': champion_names, 'Role1': champion_role1, 'Role2': champion_role2,
+                                   'Last Change Patch': champion_last_patch_change,
+                                   'Ability Cost Type': champion_ability_cost_type, 'Range Type': champion_range_type, 'Damage Type': champion_damage_type}) 
 
 for path in save_locations:
     
-    all_champions.to_csv(path + 'all_champions.csv', index=False, sep=',')
+    all_champions_info.to_csv(path + 'all_champions_info.csv', index=False, sep=',')
 
diff --git a/championRole_scrapper.py b/championRole_scrapper.py
new file mode 100644
index 0000000000000000000000000000000000000000..7b181169c132af5a40bc54e3276b10290617db84
--- /dev/null
+++ b/championRole_scrapper.py
@@ -0,0 +1,40 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Sat Apr 11 22:00:02 2020
+
+@author: Alberto
+"""
+
+from selenium import webdriver
+from bs4 import BeautifulSoup
+import pandas as pd
+
+
+save_locations = [''] # put other paths if necessary
+
+
+driver = webdriver.Chrome("chromedriver.exe")
+driver.get("https://leagueoflegends.fandom.com/wiki/List_of_champions")
+
+champion_names = []
+
+content = driver.page_source
+
+soup = BeautifulSoup(content, 'html.parser')
+
+table = soup.find('table', {'class': 'wikitable sortable jquery-tablesorter'})
+
+table_rows = table.findAll('td', {'style': 'text-align:left;'})
+
+for i in table_rows:
+    
+    champion_names.append(i['data-sort-value'])
+        
+driver.close()
+
+all_champions = pd.DataFrame({'Champion Name': champion_names}) 
+
+for path in save_locations:
+    
+    all_champions.to_csv(path + 'all_champions.csv', index=False, sep=',')
+