Lazada Scraper: Efficient Platform for E-commerce Product and Seller Insights

import requests
from bs4 import BeautifulSoup

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

def scrape_lazada_product(url):
    """
    Scrapes Lazada product details including title, price, rating, and stock availability.
    Returns a dictionary with extracted product information.
    """
    response = requests.get(url, headers=HEADERS)
    if response.status_code != 200:
        print(f"Failed to fetch data. Status code: {response.status_code}")
        return None
    
    soup = BeautifulSoup(response.text, "lxml")
    
    title_tag = soup.find("span", {"class": "pdp-mod-product-badge-title"})
    price_tag = soup.find("span", {"class": "pdp-price"})
    rating_tag = soup.find("div", {"class": "pdp-mod-product-rating"})
    stock_tag = soup.find("div", {"class": "pdp-product-quantity"})
    
    return {
        "Title": title_tag.text.strip() if title_tag else "N/A",
        "Price": price_tag.text.strip() if price_tag else "N/A",
        "Rating": rating_tag.text.strip() if rating_tag else "N/A",
        "Stock": stock_tag.text.strip() if stock_tag else "N/A"
    }

# Example Lazada product URL
lazada_product_url = "https://www.lazada.com/product/example"
product_data = scrape_lazada_product(lazada_product_url)
print(product_data)