Jury votes and Televotes from Eurovision 2021 Grand Finale

Data files

Data files are available in the following formats:

• votes.csv (CSV)
• votes.xls (Microsoft Excel)

Source

Data source is the Eurovision website.

Method

1. Files were downloaded with individual names eurovision_html/<country>.html (as requests scraping is blocked by Eurovision's website).

2. After downloading, the files were processed using the following code:

   import requests
   from bs4 import BeautifulSoup
   import re
   import pandas as pd
   
   matches = r'(\d{1,2})(th|st|rd|nd)'
   
   countries = ['israel', 'albania', 'australia', 'austria', 'azerbaijan', 'belgium', 'bulgaria', 'croatia', 'cyprus', 'czech-republic', 'denmark', 'estonia', 'finland', 'france', 'georgia', 'germany', 'greece', 'iceland', 'ireland', 'italy', 'latvia', 'lithuania', 'malta', 'moldova', 'netherlands', 'north-macedonia', 'norway', 'poland', 'portugal', 'romania', 'russia', 'san-marino', 'serbia', 'slovenia', 'spain', 'sweden', 'switzerland', 'ukraine', 'united-kingdom']
   
   df = pd.DataFrame()
   
   for voting_country in countries:
       with open(f'./eurovision_html/{voting_country}.html') as f:
           html = f.read()
       soup = BeautifulSoup(html)
   
       table = soup.find_all('table', {'class': 'w-full'})[-1]
   
       rows = table.tbody.find_all('tr')
   
       for row in rows:
           country = row.find_all('td')[0].text.strip()
           
           text = row.find_all('td')[-1].text.strip()
           g = re.search(matches, text)
           if g.groups():
               televote_ranking = g.groups()[0]
           
           text = row.find_all('td')[-2].text.strip()
           g = re.search(matches, text)
           if g.groups():
               jury_ranking = g.groups()[0]
           
           individual_juror_votes = [x.text for x in row.find_all('td')[2:7]]
           
           d = {'country': country, 'televote_ranking': televote_ranking, 'jury_ranking': jury_ranking}
           for juror_num, vote in enumerate(individual_juror_votes):
               d[f'juror_{juror_num}'] = vote
   
           s = pd.Series(d, name=voting_country)
   
           df = df.append(s)
   
   df.index.name = 'voting_country'
   
   df.to_csv('votes.csv')
   
   df.to_excel('votes.xls')