Zomato Scraper: Extract Comprehensive Restaurant Data Effortlessly

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_zomato_restaurant(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": "sc-7kepeu-0"}).text.strip() if soup.find("h1", {"class": "sc-7kepeu-0"}) else "N/A",
        "Menu Items": [item.text.strip() for item in soup.find_all("div", {"class": "sc-1hez2tp-0"})],
        "Rating": soup.find("div", {"class": "sc-1q7bklc-1"}).text.strip() if soup.find("div", {"class": "sc-1q7bklc-1"}) else "N/A",
        "Reviews Count": soup.find("span", {"class": "sc-1nx8ums-0"}).text.strip() if soup.find("span", {"class": "sc-1nx8ums-0"}) else "N/A",
        "Delivery Status": soup.find("div", {"class": "sc-1s0saks-15"}).text.strip() if soup.find("div", {"class": "sc-1s0saks-15"}) else "N/A"
    }

# Example restaurant URL (replace with actual Zomato restaurant link)
restaurant_url = "https://www.zomato.com/restaurant/sample-url"
data = scrape_zomato_restaurant(restaurant_url)
print(data)