Create get_imdb_top_250_movies_csv.py (#1659)

* Create get_imdb_top_250_movies_csv.py

* Update get_imdb_top_250_movies_csv.py

* Update get_imdb_top_250_movies_csv.py

* get_imdb_top_250_movies()

Co-authored-by: Christian Clauss <[email protected]>

Author: nishithshowri006

web_programming/get_imdb_top_250_movies_csv.py

@@ -0,0 +1,29 @@
+import csv
+from typing import Dict
+
+import requests
+from bs4 import BeautifulSoup
+
+
+def get_imdb_top_250_movies(url: str = "") -> Dict[str, float]:
+    url = url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
+    soup = BeautifulSoup(requests.get(url).text, "html.parser")
+    titles = soup.find_all("td", attrs="titleColumn")
+    ratings = soup.find_all("td", class_="ratingColumn imdbRating")
+    return {
+        title.a.text: float(rating.strong.text)
+        for title, rating in zip(titles, ratings)
+    }
+
+
+def write_movies(filename: str = "IMDb_Top_250_Movies.csv") -> None:
+    movies = get_imdb_top_250_movies()
+    with open(filename, "w", newline="") as out_file:
+        writer = csv.writer(out_file)
+        writer.writerow(["Movie title", "IMDb rating"])
+        for title, rating in movies.items():
+            writer.writerow([title, rating])
+
+
+if __name__ == "__main__":
+    write_movies()