Rakuten Scraper: Extract E-Commerce Listings, Inventory, and Customer Intelligence

import requests
from bs4 import BeautifulSoup

REQUEST_HEADERS = {
    "User-Agent": "Mozilla/5.0",
    "Accept": "text/html,application/xhtml+xml"
}

def fetch_rakuten_product_details(product_page):
    try:
        page = requests.get(product_page, headers=REQUEST_HEADERS, timeout=15)
        page.raise_for_status()

        soup = BeautifulSoup(page.content, "html.parser")

        product_info = {
            "product_name": soup.select_one(".item-name").get_text(strip=True) if soup.select_one(".item-name") else "Not Available",
            "current_price": soup.select_one(".price").get_text(strip=True) if soup.select_one(".price") else "Not Available",
            "customer_rating": soup.select_one(".rating-score").get_text(strip=True) if soup.select_one(".rating-score") else "Not Available",
            "review_count": soup.select_one(".review-total").get_text(strip=True) if soup.select_one(".review-total") else "Not Available",
            "availability": soup.select_one(".stock-status").get_text(strip=True) if soup.select_one(".stock-status") else "Not Available"
        }

        return product_info

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

# Example Rakuten product page
rakuten_url = "https://www.rakuten.com/product/sample-item"

product_data = fetch_rakuten_product_details(rakuten_url)

# Print extracted data
print(product_data)