text: # Dependencies
  from splinter import Browser
  from bs4 import BeautifulSoup
  import requests
  import urllib.parse
  import pymongo
  import pprint
  import pandas as pd
  
  # Initialize browser
  def init_browser():
      executable_path = {"executable_path": "/usr/local/bin/chromedriver"}
      #executable_path = {'executable_path': 'chromedriver.exe'}
      return Browser("chrome", **executable_path, headless=False)
  
  def scrape():
      browser = init_browser()
      
  
      url = 'https://www.jpl.nasa.gov/spaceimages/'
      browser.visit(url)
      html = browser.html
      soup = bs(html, 'html.parser')
      base_url = 'https://www.jpl.nasa.gov'
      image_url = soup.find("a", class_ = "button fancybox")["data-fancybox-href"]
      featured_image_url = base_url + image_url
  
      url = 'https://twitter.com/marswxreport?lang=en'
      browser.visit(url)
      html = browser.html
      soup = bs(html, 'html.parser')
      mars_weather = soup.find('p', class_ = 'TweetTextSize TweetTextSize--normal js-tweet-text tweet-text').text.strip()
  
      url = 'https://space-facts.com/mars/'
      browser.visit(url)
      tables = pd.read_html(url)
      facts_df = tables[0]
      facts_df.columns = ['Fact', 'Value']
      facts_df['Fact'] = facts_df['Fact'].str.replace(':', '')
      facts_df.reset_index(drop=True, inplace=True)
      facts_html = facts_df.to_html()
  
      url = 'https://astrogeology.usgs.gov/search/results?q=hemisphere+enhanced&k1=target&v1=Mars'
      browser.visit(url)
      html = browser.html
      soup = bs(html, 'html.parser')
      results = soup.find_all('div', class_="description")
      base_url = 'https://astrogeology.usgs.gov/'
      sites = []
      for result in results:
          link = result.find('a', class_ = "itemLink product-item")
          link_text = link['href']
          hemispheres_url = base_url + link_text
          sites.append(hemispheres_url)
      hemispheres = []
      for site in sites:
          browser.visit(site)
          html = browser.html
          soup = bs(html, 'html.parser')
          title = soup.find('h2', class_ = "title").text.strip()
          url = soup.find_all('a', target = "_blank", href = True)[0]['href']
          hemispheres.append({"title": title, "img_url": url})
      
      output = {
          "news_title": news_title, 
          "news_p": news_p, 
          "featured_image_url": featured_image_url,
          "mars_weather": mars_weather, 
          "facts_html": facts_html,
          "hemispheres": hemispheres
      }
      return output
  