input: from typing import List
  
  def extract_urls_from_webpages(urls: List[str]) -> List[str]:
      """ Create a web scraper that extracts specific data from a given list of websites.
      The web scraper should utilize the Python package BeautifulSoup to parse webpages and extract the required data.
      BeautifulSoup will allow us to find HTML elements on the webpage using tags and attributes. Once the data is found,
      it should be converted into the desired format and returned as a list of extracted URLs.
      
      Example:
      >>> extract_urls_from_webpages(['<url_of_webpage>'])
      ['example_url_1', 'example_url_2']
      """
output:     
      from bs4 import BeautifulSoup
      import requests
  
      extracted_urls = []
      for url in urls:
          response = requests.get(url)
          soup = BeautifulSoup(response.text, 'html.parser')
          for link in soup.find_all('a'):
              href = link.get('href')
              if href and href.startswith('http'):
                  extracted_urls.append(href)
      return extracted_urls
  