Loblaws Scraper: Canadian Grocery Data Collection and Product Availability Monitoring

import requests
from bs4 import BeautifulSoup

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

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

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

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

        return {
            "Product Name": extract_text("h1"),
            "Price": extract_text(
                '[itemprop="price"], .price, [data-testid="price"]'
            ),
            "Rating": extract_text(
                '[itemprop="ratingValue"], .rating'
            ),
            "Availability": extract_text(
                '[itemprop="availability"], .availability'
            ),
        }

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

# Example Loblaws product page URL
product_url = "https://www.loblaws.ca/"

product_data = scrape_loblaws_product(product_url)
print(product_data)