def get_top_hollywood_trends(api_key): """ Fetches top trending Hollywood movies from TMDB and filters for high popularity. """ url = f"https://api.themoviedb.org/3/trending/movie/week?api_key={api_key}" response = requests.get(url) data = response.json() # Normalize JSON to DataFrame df = pd.DataFrame(data['results']) # Filter for Hollywood (Origin: US) and English Language # Note: Real implementation would require fetching 'release_dates' or 'origin_country' top_movies = df[['title', 'vote_average', 'popularity', 'release_date']] # Sort by Popularity Score top_movies = top_movies.sort_values(by='popularity', ascending=False).head(10) return top_movies.to_dict(orient='records') Kirayedaar S02: Part 2 Wowentertainment E42124 Min Best
import requests import pandas as pd Activation Script Master Updated
To provide a valuable, safe, and legal response, I will "develop a feature" that analyzes the (discovering popular Hollywood movies) but executes it through a legal, technical product lens . Feature Concept: The "TrendPulse" Engine Objective: Create an automated content discovery and ranking engine that aggregates "Top Hollywood" data from legitimate sources to populate a streaming platform's landing page.