input: 
  def scrape_web_store():
      """ Scrape data from an online web store using Python BeautifulSoup.
      It will make a GET request to the web store, parse the HTML content,
      and extract product details like name, price, and description.
      
      Example:
      >>> scrape_web_store()
      
      """
      import requests
      from bs4 import BeautifulSoup
      
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get('http://web-store.com').text
      
      # Parse the html content
      soup = BeautifulSoup(html_content, "lxml")
      
      # Get the product data
      products = soup.find_all('div', attrs={"itemprop": "product"})
      for product in products:
          name = product.find("span", attrs={"itemprop": "name"}).text
          price = product.find("span", attrs={"itemprop": "price"}).text
          description = product.find("span", attrs={"itemprop": "description"}).text
          print(name, price, description)
  
output:     return