AliExpress Scraper: Intelligent E-commerce Product and Pricing Data Extraction

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_aliexpress_product_details(product_url):
    try:
        response = requests.get(product_url, headers=HEADERS, timeout=10)
        
        if response.status_code != 200:
            return {"error": "Failed to retrieve product page"}

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

        title = soup.select_one("h1")
        price = soup.select_one(".price--current")
        rating = soup.select_one(".overview-rating-average")
        orders = soup.select_one(".product-reviewer-reviews")

        product_data = {
            "Product_Title": title.get_text(strip=True) if title else "Not Available",
            "Current_Price": price.get_text(strip=True) if price else "Not Available",
            "Average_Rating": rating.get_text(strip=True) if rating else "Not Available",
            "Total_Orders": orders.get_text(strip=True) if orders else "Not Available"
        }

        return product_data

    except Exception as e:
        return {"error": str(e)}


# Example AliExpress product link
sample_url = "https://www.aliexpress.com/item/example-product.html"

result = fetch_aliexpress_product_details(sample_url)
print(result)