Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
37 changes: 37 additions & 0 deletions scripts/Script to fetch top IMBD listed movies/imbd.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
from bs4 import BeautifulSoup
import requests
import re
import pandas as pd

url = 'http://www.imdb.com/chart/top'
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
movies = soup.select('td.titleColumn')
crew = [a.attrs.get('title') for a in soup.select('td.titleColumn a')]
ratings = [b.attrs.get('data-value')
for b in soup.select('td.posterColumn span[name=ir]')]

list = []


for index in range(0, len(movies)):

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 = {"place": place,
"movie_title": movie_title,
"rating": ratings[index],
"year": year,
"star_cast": crew[index],
}
list.append(data)

for movie in list:
print(movie['place'], '-', movie['movie_title'], '('+movie['year'] +
') -', 'Starring:', movie['star_cast'], movie['rating'])

df = pd.DataFrame(list)
df.to_csv('imdb_top_250_movies.csv',index=False)
Loading