input: 
  def scrape_web_store():
      """
      Scrape data from an online web store using Python BeautifulSoup.
      The function fetches the raw HTML content from the web store,
      parses it using BeautifulSoup, and extracts product information
      such as name, price, and description.
      >>> scrape_web_store()
      Product 1 Price 1 Description 1
      Product 2 Price 2 Description 2
      Product 3 Price 3 Description 3
      """
      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:     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)