Kroger Scraper: Comprehensive Grocery Pricing and Product Data Extraction

import requests
from bs4 import BeautifulSoup

# Headers to mimic a browser request
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_kroger_product(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")

    # Extracting product details
    product_data = {
        "Product_Name": soup.find("h1", {"class": "product-title"}).text.strip()
                        if soup.find("h1", {"class": "product-title"}) else "N/A",
        "Price": soup.find("span", {"class": "price"}).text.strip()
                 if soup.find("span", {"class": "price"}) else "N/A",
        "Rating": soup.find("div", {"class": "rating-stars"}).text.strip()
                  if soup.find("div", {"class": "rating-stars"}) else "N/A",
        "Stock_Status": soup.find("div", {"class": "stock-status"}).text.strip()
                        if soup.find("div", {"class": "stock-status"}) else "N/A",
        "Category": soup.find("a", {"class": "breadcrumb-link"}).text.strip()
                    if soup.find("a", {"class": "breadcrumb-link"}) else "N/A"
    }

    return product_data

# Example Kroger product URL (Replace with an actual Kroger product URL)
kroger_product_url = "https://www.kroger.com/p/example-product"

data = scrape_kroger_product(kroger_product_url)

# Print extracted data
print(data)