JioHotstar Scraper: Detailed Streaming Data Extraction and Platform Monitoring

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_jiohotstar_content(url):
    response = requests.get(url, headers=HEADERS)
    if response.status_code != 200:
        return None
    soup = BeautifulSoup(response.text, "lxml")
    
    return {
        "Title": soup.find("h1", {"class": "show-title"}).text.strip() if soup.find("h1", {"class": "show-title"}) else "N/A",
        "Genre": soup.find("span", {"class": "show-genre"}).text.strip() if soup.find("span", {"class": "show-genre"}) else "N/A",
        "Rating": soup.find("div", {"class": "user-rating"}).text.strip() if soup.find("div", {"class": "user-rating"}) else "N/A",
        "Availability": soup.find("div", {"class": "stream-status"}).text.strip() if soup.find("div", {"class": "stream-status"}) else "N/A",
        "Subscription Plan": soup.find("div", {"class": "plan-details"}).text.strip() if soup.find("div", {"class": "plan-details"}) else "N/A"
    }

# Example JioHotstar content URL
jiohotstar_url = "https://www.jio.com/hotstar/content/example"
data = scrape_jiohotstar_content(jiohotstar_url)
print(data)