PedidosYa Scraper: Real-Time Insights into Food Delivery Market Dynamics

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.8",
}

def fetch_pedidosya_restaurant(url):
    try:
        response = requests.get(url, headers=HEADERS, timeout=10)
        if response.status_code != 200:
            return {"error": "Failed to retrieve data"}
        
        soup = BeautifulSoup(response.content, "html.parser")

        name = soup.select_one("h1")
        price = soup.select_one(".price")
        rating = soup.select_one(".rating")
        status = soup.select_one(".availability")

        restaurant_data = {
            "Restaurant_Name": name.get_text(strip=True) if name else "Not Available",
            "Average_Price": price.get_text(strip=True) if price else "Not Available",
            "Customer_Rating": rating.get_text(strip=True) if rating else "Not Available",
            "Availability_Status": status.get_text(strip=True) if status else "Not Available"
        }

        return restaurant_data

    except Exception as e:
        return {"error": str(e)}

# Example PedidosYa restaurant URL
pedidosya_url = "https://www.pedidosya.com/sample-restaurant"

output = fetch_pedidosya_restaurant(pedidosya_url)
print(output)