input: Write a function to create a web scraper using Python BeautifulSoup that scrapes product data from an online web store. The function should make a GET request to fetch the HTML content of the web store, parse the HTML content, and extract the name, price, and description of each product. The function should print the extracted data for each product.
  import requests
  from bs4 import BeautifulSoup
  
  def scrape_web_store(url):
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get(url).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)
  
  assert scrape_web_store('http://web-store.com')
  assert scrape_web_store('http://another-web-store.com')
  assert scrape_web_store('http://yet-another-web-store.com')
  assert scrape_web_store('http://test-web-store.com')
  assert scrape_web_store('http://sample-web-store.com')
output: def scrape_web_store(url):
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get(url).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)