Glovo Scraper: Actionable Real-Time Food Delivery and Restaurant Data Insights

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_glovo_restaurant(url):
    """
    Fetches restaurant menu, pricing, ratings, and availability from Glovo pages.
    Returns a structured dictionary with key restaurant data points.
    """
    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": 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("div", {"class": "restaurant-rating"}).text.strip() 
                  if soup.find("div", {"class": "restaurant-rating"}) else "N/A",
        "Availability": soup.find("div", {"class": "menu-item-availability"}).text.strip() 
                        if soup.find("div", {"class": "menu-item-availability"}) else "N/A"
    }

# Example Glovo restaurant URL
glovo_url = "https://www.glovoapp.com/en/restaurant/example"
restaurant_data = scrape_glovo_restaurant(glovo_url)
print(restaurant_data)