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imdb.py
frombs4importBeautifulSoup
importrequests
importre
# Download IMDB's Top 250 data
url='http://www.imdb.com/chart/top'
response=requests.get(url)
soup=BeautifulSoup(response.text, 'lxml')
movies=soup.select('td.titleColumn')
links= [a.attrs.get('href') forainsoup.select('td.titleColumn a')]
crew= [a.attrs.get('title') forainsoup.select('td.titleColumn a')]
ratings= [b.attrs.get('data-value') forbinsoup.select('td.posterColumn span[name=ir]')]
votes= [b.attrs.get('data-value') forbinsoup.select('td.ratingColumn strong')]
imdb= []
# Store each item into dictionary (data), then put those into a list (imdb)
forindexinrange(0, len(movies)):
# Seperate movie into: 'place', 'title', 'year'
movie_string=movies[index].get_text()
movie= (' '.join(movie_string.split()).replace('.', '))
movie_title=movie[len(str(index))+1:-7]
year=re.search('((.*?))', movie_string).group(1)
place=movie[:len(str(index))-(len(movie))]
data= {'movie_title': movie_title,
'year': year,
'place': place,
'star_cast': crew[index],
'rating': ratings[index],
'vote': votes[index],
'link': links[index]}
imdb.append(data)
foriteminimdb:
print(item['place'], '-', item['movie_title'], '('+item['year']+') -', 'Starring:', item['star_cast'])

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