Uber Eats Scraper: Real-Time Restaurant, Menu, and Food Delivery Data Collection

import requests
from bs4 import BeautifulSoup

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

def scrape_uber_eats_restaurant(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")

    restaurant_data = {
        "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-title").text.strip()
            if soup.find("div", 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("span", class_="restaurant-rating").text.strip()
            if soup.find("span", class_="restaurant-rating") else "N/A",

        "Reviews_Count": soup.find("span", class_="review-count").text.strip()
            if soup.find("span", class_="review-count") else "N/A",

        "Availability_Status": soup.find("div", class_="menu-item-availability").text.strip()
            if soup.find("div", class_="menu-item-availability") else "N/A"
    }

    return restaurant_data

# Example Uber Eats restaurant URL
uber_eats_url = "https://www.ubereats.com/restaurant/example"

data = scrape_uber_eats_restaurant(uber_eats_url)

# Print extracted data
print(data)