Walmart Scraper: Enterprise-Grade E-commerce Product Intelligence

import requests
from bs4 import BeautifulSoup

# Headers to mimic a real browser
HEADERS = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
    "Accept-Language": "en-US,en;q=0.9",
}

def scrape_amazon_electronics(url):
    response = requests.get(url, headers=HEADERS)
    
    if response.status_code != 200:
        return None

    soup = BeautifulSoup(response.text, "lxml")

    title = soup.find("span", {"id": "productTitle"})
    price = soup.find("span", {"class": "a-offscreen"})
    rating = soup.find("span", {"class": "a-icon-alt"})
    availability = soup.find("div", {"id": "availability"})

    return {
        "Title": title.text.strip() if title else "N/A",
        "Price": price.text.strip() if price else "N/A",
        "Rating": rating.text.strip() if rating else "N/A",
        "Availability": availability.text.strip() if availability else "N/A"
    }

# Example Amazon electronics product URL
amazon_product_url = "https://www.amazon.com/dp/B08N5WRWNW"

product_data = scrape_amazon_electronics(amazon_product_url)
print(product_data)