Esselunga Scraper: Collect Italian Grocery Product Data for Competitive Retail Insights

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0",
    "Accept-Language": "it-IT,it;q=0.9,en;q=0.8",
}


def extract_esselunga_product(url):
    try:
        response = requests.get(
            url,
            headers=HEADERS,
            timeout=15
        )
        response.raise_for_status()

        soup = BeautifulSoup(response.text, "html.parser")

        def get_text(selector):
            element = soup.select_one(selector)
            return element.get_text(" ", strip=True) if element else "N/A"

        return {
            "Product Name": get_text("h1.product-title"),
            "Price": get_text(".product-price"),
            "Discount": get_text(".product-discount"),
            "Category": get_text(".product-category"),
            "Availability": get_text(".availability-status"),
        }

    except requests.RequestException as error:
        return {"Error": str(error)}

# Example Esselunga product page URL
product_url = "https://www.esselunga.it/"

product_data = extract_esselunga_product(product_url)
print(product_data)