Yummy Bazaar Scraper: Global Food Data Monitoring and Pricing Intelligence for Retailers

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_yummybazaar_product(product_url):
    try:
        response = requests.get(product_url, headers=HEADERS, timeout=10)
        response.raise_for_status()
    except requests.exceptions.RequestException:
        return {"error": "Unable to retrieve product data"}

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

    product_info = {
        "Product Name": soup.select_one("h1.product-name").get_text(strip=True) if soup.select_one("h1.product-name") else "Not Available",
        "Price": soup.select_one("span.price").get_text(strip=True) if soup.select_one("span.price") else "Not Available",
        "Rating": soup.select_one("div.rating-value").get_text(strip=True) if soup.select_one("div.rating-value") else "Not Available",
        "Availability": soup.select_one("p.stock-status").get_text(strip=True) if soup.select_one("p.stock-status") else "Not Available"
    }

    return product_info

# Example Yummy Bazaar product URL
yummybazaar_url = "https://yummybazaar.com/products/sample-item"

result = fetch_yummybazaar_product(yummybazaar_url)
print(result)