input: from typing import List
  
  
  def scrape_web_store_data(url: str) -> List[dict]:
      """ Scrape product data from a given online web store using BeautifulSoup.
      The function fetches the HTML content from the provided URL,
      parses it using BeautifulSoup, and extracts the name, price, and description
      of each product listed on the page. The function returns a list of dictionaries,
      each containing the name, price, and description of a product.
      >>> scrape_web_store_data('http://example-web-store.com')
      [{'name': 'Product One', 'price': '10.99', 'description': 'First product description'},
       {'name': 'Product Two', 'price': '15.00', 'description': 'Second product description'}]
      """
output:     import requests
      from bs4 import BeautifulSoup
  
      response = requests.get(url)
      soup = BeautifulSoup(response.content, 'html.parser')
  
      products = []
      for product in soup.find_all('div', class_='product'):
          name = product.find('h2', class_='product-name').text.strip()
          price = product.find('span', class_='product-price').text.strip()
          description = product.find('p', class_='product-description').text.strip()
          products.append({'name': name, 'price': price, 'description': description})
  
      return products