Coppel.com Scraper: Comprehensive Ecommerce Data Extraction for Market Analysis

import requests
from bs4 import BeautifulSoup

HEADERS = {
    "User-Agent": "Mozilla/5.0",
    "Accept-Language": "es-MX,es;q=0.9,en;q=0.8",
}

def scrape_coppel_product(product_url):
    try:
        response = requests.get(
            product_url,
            headers=HEADERS,
            timeout=20
        )
        response.raise_for_status()

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

        def extract_text(selector):
            element = soup.select_one(selector)
            return element.get_text(" ", strip=True) if element else "N/A"

        return {
            "Product_Name": extract_text("h1"),
            "Price": extract_text(".product-price"),
            "Rating": extract_text(".product-rating"),
            "Availability": extract_text(".availability-status"),
        }

    except requests.RequestException as error:
        return {"Error": str(error)}

# Example Coppel product page URL
coppel_product_url = "https://www.coppel.com/"

product_data = scrape_coppel_product(coppel_product_url)
print(product_data)