input: def web_scraper() -> None:
      """
      Develop a web scraper with Python BeautifulSoup to scrape data from an online web store.
      The function will fetch the HTML content from the web store, parse it, and extract
      product data including name, price, and description.
      >>> web_scraper()
      'Product1' '$10' 'Description1'
      'Product2' '$15' 'Description2'
      """
      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)