Amazon Fresh Scraper: Comprehensive Grocery Data Extraction for Modern Retail

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_amazon_fresh_product(url):
    """
    Scrapes product details from an Amazon Fresh product page
    including title, price, rating, and stock availability.
    """
    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")

    product_data = {
        "Title": soup.find("span", {"id": "productTitle"}).text.strip()
                 if soup.find("span", {"id": "productTitle"}) else "N/A",
        "Price": soup.find("span", {"class": "a-price-whole"}).text.strip()
                 if soup.find("span", {"class": "a-price-whole"}) else "N/A",
        "Rating": soup.find("span", {"class": "a-icon-alt"}).text.strip()
                  if soup.find("span", {"class": "a-icon-alt"}) else "N/A",
        "Stock": soup.find("div", {"id": "availability"}).text.strip()
                 if soup.find("div", {"id": "availability"}) else "N/A"
    }

    return product_data

# Example Amazon Fresh product URL (Replace with an actual Amazon Fresh product URL)
amazon_fresh_product_url = "https://www.amazon.com/fresh/product/example"

data = scrape_amazon_fresh_product(amazon_fresh_product_url)

# Print extracted data
print(data)