KFC Scraper: High-Precision Fast-Food Analytics and Data Extraction Tool

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_kfc_menu(url):
    response = requests.get(url, headers=HEADERS)

    if response.status_code != 200:
        print("Failed to fetch page:", response.status_code)
        return None

    soup = BeautifulSoup(response.text, "lxml")

    data = {
        "Item Name": soup.find("h1", {"class": "menu-item-title"}).text.strip() if soup.find("h1", {"class": "menu-item-title"}) else "N/A",
        "Price": soup.find("span", {"class": "menu-item-price"}).text.strip() if soup.find("span", {"class": "menu-item-price"}) else "N/A",
        "Rating": soup.find("div", {"class": "menu-item-rating"}).text.strip() if soup.find("div", {"class": "menu-item-rating"}) else "N/A",
        "Availability": soup.find("div", {"class": "menu-item-availability"}).text.strip() if soup.find("div", {"class": "menu-item-availability"}) else "N/A"
    }

    return data

# Example KFC menu URL
kfc_menu_url = "https://www.kfc.com/menu/example-item"

data = scrape_kfc_menu(kfc_menu_url)

# Print extracted data
print(data)