DoorDash Scraper: Actionable Food Delivery and Restaurant Data Collection

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_doordash_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",
        "Delivery_Fee": soup.find("span", {"class": "delivery-fee"}).text.strip() if soup.find("span", {"class": "delivery-fee"}) else "N/A",
        "Rating": soup.find("div", {"class": "restaurant-rating"}).text.strip() if soup.find("div", {"class": "restaurant-rating"}) else "N/A"
    }

    return restaurant_data

# Example DoorDash restaurant URL
doordash_url = "https://www.doordash.com/restaurant/example"

data = scrape_doordash_restaurant(doordash_url)

# Print extracted data
print(data)