text: from selenium import webdriver
  from selenium.webdriver.common.keys import Keys # am I using this?
  from bs4 import BeautifulSoup
  import requests # am I using this?
  from time import sleep
  import csv
  
  destination = ['D:\\academics\\Research - Digital\\Japanese Internment\\Project Files\\images\\Port1','D:\\academics\\Research - Digital\\Japanese Internment\\Project Files\\images\\SanF1'][0]
      # choose 0=portland 1=SF
  
  options = webdriver.ChromeOptions()
  preferences = {"download.default_directory": destination}
  options.add_experimental_option("prefs", preferences)
      # adds the stuff listed in profile
  WD_path = 'D:\\academics\\Research - Digital\\Japanese Internment\\Project Files\\bin\\chromedriver.exe'
  driver = webdriver.Chrome(executable_path=WD_path, chrome_options=options)
      # Optional argument, if not specified will search path.
  
  
  # series IDs for Portland and SF
  P_ID = '40143322'
  SF_ID= '38221779'
  
  #building the index for the filenames
  Coll_URL_root = 'https://catalog.archives.gov/'
  
  driver.get(Coll_URL_root + 'search?q=*:*&f.parentNaId=' + P_ID + '&f.level=fileUnit&sort=naIdSort%20asc&rows=1000')
  sleep(5)
  source = driver.page_source
  soup = BeautifulSoup(source, 'lxml')
  # divs = soup.find_all('div', class_ = 'resultDetail')
  divs = soup.find_all('div', class_ = 'descriptionResult')
  FilePart_list = []
  for div in divs:
      ID = div.select('div.resultDetail')[0].get_text().split(':')[1].split()[0]
      # ID = div.get_text().split(':')[1].split()[0]
      filename = div.select('.titleResult')[0].get_text()
      FilePart_list.append([filename, ID])
  
  FilePart_list2 = []
  for FilePart in FilePart_list:
      FilePartName = FilePart[0]
      FilePartID = FilePart[1]
      driver.get('https://catalog.archives.gov/id/'+ FilePartID)
      sleep(5)
  
      driver.find_element_by_xpath('//a[@ng-click="changeMedia(objectIndex(doc))"]').click()
      sleep(5)
  
      innerHTML = driver.execute_script('return document.body.innerHTML')
      URL = innerHTML.split('downloadFullImage')[1].split('ng-href="')[1].split('"')[0]
      driver.get(URL)
  
      FilePart_list2.append([FilePartName,FilePartID,URL])
  
  with open('../images/portland/filename_index.csv', 'w', newline='') as f:
      writer = csv.writer(f)
      for n in FilePart_list2:
          writer.writerow(n)
  
  exit()
  
  # https://catalog.archives.gov/search?q=*:*&f.parentNaId=38221779&f.level=fileUnit&sort=naIdSort%20asc
  # print(parsed_html.prettify().encode('utf-8'))
  # div#resultsView div.row span.titleResult and div.resultDetail
  # div.row points to each entry.  titleResult to the title (Reel 1A etc.)  resultDetail to the following:
  # <span class="hidden-inline-xs"> <span class="bold">National Archives Identifier:</span>&nbsp;45627616</span>
  
  
  # URL CONSTRUCTOR
  # Navigating to the file
  # item_ID = '48438801'
  # URL_file = 'Reel-01A_001.pdf'
      # Replace with a data dict
  
  ###
  URL_root = 'https://catalog.archives.gov/OpaAPI/media/'
  URL_branch_1 = '/content/electronic-records/rg-210/'
  URL_branch_2 = ['WRAFRB/','WRAFRBSF/']
      # choose 0=portland 1=SF .... check portland branch
  download_arg = '?download=true'
  
  target_url = URL_root + item_ID + URL_branch_1 + URL_branch_2[1] + URL_file + download_arg
  
  #for target_url in target_url:
  driver.get(target_url)
  
  exit()
  
  
  
  from bs4 import BeautifulSoup
  from selenium import webdriver
  
  url = "http://legendas.tv/busca/walking%20dead%20s03e02"
  browser = webdriver.PhantomJS()
  browser.get(url)
  html = browser.page_source
  soup = BeautifulSoup(html, 'lxml')
  a = soup.find('section', 'wrapper')
  ###
  