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from bs4 import BeautifulSoup from urllib import request res = request.urlopen("http://web.archive.org/web/20070826230746/http://www.bbmf.co.uk/july07.html") soup = BeautifulSoup(res) print(soup) #Your work from here table = soup.find_all('table')[0] df = pd.read_html(str(table)) df = df[1] df = df.rename(columns=df.iloc[0]) df = df.iloc[2:] df.head(15) Southport = df[ ( ((df['Location'].str.contains('- Display') & df['Lancaster'] == '' & df['Dakota'] == 'D' & df['Spitfire'] == 'S' & df['Hurricane'] == 'H')) ) ] | df[ ( ((df['Location'].str.contains('- Display') & df['Lancaster'] == '' & df['Dakota'] == 'D' & df['Spitfire'] == 'S' & df['Hurricane'] == '')) ) ] | df[ ( ((df['Location'].str.contains('- Display') & df['Lancaster'] == '' & df['Dakota'] == 'D' & df['Spitfire'] == 'SS' & df['Hurricane'] == '')) ) ]

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