Talabat Scraper: Precision Driven Restaurant Menu and Pricing Intelligence

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_talabat_menu(url):
    response = requests.get(url, headers=HEADERS)
    if response.status_code != 200:
        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": [item.text.strip() for item in soup.select(".menu-item-name")] 
                     if soup.select(".menu-item-name") else ["N/A"],
        "Price": [price.text.strip() for price in soup.select(".menu-item-price")] 
                 if soup.select(".menu-item-price") else ["N/A"],
        "Rating": soup.find("div", {"class": "restaurant-rating"}).text.strip() 
                  if soup.find("div", {"class": "restaurant-rating"}) else "N/A",
        "Availability": soup.find("span", {"class": "menu-item-availability"}).text.strip() 
                        if soup.find("span", {"class": "menu-item-availability"}) else "N/A"
    }

# Example Talabat restaurant URL
talabat_restaurant_url = "https://www.talabat.com/restaurant/example"
data = scrape_talabat_menu(talabat_restaurant_url)
print(data)