Keeta Scraper: Real-Time Restaurant Menu and Food Delivery Data Extraction

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_keeta_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")
    
    return {
        "Restaurant_Name": soup.find("h1", {"class": "restaurant-name"}).text.strip() if soup.find("h1", {"class": "restaurant-name"}) else "N/A",
        "Menu_Item": soup.find("div", {"class": "menu-item-name"}).text.strip() if soup.find("div", {"class": "menu-item-name"}) else "N/A",
        "Price": soup.find("span", {"class": "menu-item-price"}).text.strip() if soup.find("span", {"class": "menu-item-price"}) else "N/A",
        "Availability": soup.find("div", {"class": "menu-item-availability"}).text.strip() if soup.find("div", {"class": "menu-item-availability"}) else "N/A",
        "Rating": soup.find("div", {"class": "restaurant-rating"}).text.strip() if soup.find("div", {"class": "restaurant-rating"}) else "N/A",
        "Offers": soup.find("div", {"class": "menu-item-offers"}).text.strip() if soup.find("div", {"class": "menu-item-offers"}) else "N/A"
    }

# Example Keeta restaurant menu URL
keeta_menu_url = "https://www.keeta.com/restaurant/example"
data = scrape_keeta_menu(keeta_menu_url)
print(data)