text: def scrape():
      from bs4 import BeautifulSoup
      from splinter import Browser
      import pandas as pd
      import datetime
      import time
      import os
      from selenium import webdriver
      from selenium.webdriver.chrome.options import Options
  
      GOOGLE_CHROME_PATH = '/app/.apt/usr/bin/google-chrome'
      CHROMEDRIVER_PATH = '/app/.chromedriver/bin/chromedriver'
  
      chrome_options = Options()
      chrome_options.binary_location = GOOGLE_CHROME_PATH
  
      driver = webdriver.Chrome(executable_path=CHROMEDRIVER_PATH, chrome_options=chrome_options)
  
      # Scraping latest mars news
      url = "https://mars.nasa.gov/news/"
      driver.get(url)
      
      time.sleep(1)
  
      html = driver.page_source
      soup = BeautifulSoup(html, 'html.parser')
  
      news_title = soup.find_all('div', class_='content_title')[1].text
      news_p = soup.find_all('div', class_='article_teaser_body')[0].text
  
      # Scraping latest features image
      url = "https://www.jpl.nasa.gov/spaceimages/?search=&category=Mars"
      driver.get(url)
  
      html = driver.page_source
      soup = BeautifulSoup(html, 'html.parser')
  
      image_url = soup.find_all('article', class_='carousel_item')[0]['style'][24:-3]
      featured_image_url = 'https://www.jpl.nasa.gov/' + image_url
  
      # Scraping latest mars weather
      url = "https://twitter.com/marswxreport?lang=en"
      driver.get(url)
  
      time.sleep(5)
  
      html = driver.page_source
      soup = BeautifulSoup(html, 'html.parser')
      
      mars_weather = soup.article.find_all('span')[4].text
  
      # Scraping mars quick facts
      Mars_facts_df = pd.read_html("https://space-facts.com/mars/")[0]
      Mars_facts_df.rename(columns={0: "description", 1: "value"}, inplace=True)
      Mars_facts_df.set_index(['description', 'value'], inplace=True)
      Mars_facts_table = Mars_facts_df.to_html(classes='data', header=True)
  
      # Scraping images of mars hemispheres and their titles
      url = "https://astrogeology.usgs.gov/search/results?q=hemisphere+enhanced&k1=target&v1=Mars"
      driver.get(url)
  
      html = driver.page_source
      soup = BeautifulSoup(html, 'html.parser')
  
      hemisphere_image_urls = []
      
      # Scraping mars hemisphere titles
      for piece in soup.find_all('div', class_="description"):
          title_list = piece.h3.text.split(" ")
          title_list.pop()
          title = " ".join(title_list)
          hemisphere_image_urls.append({'title': f"{title}"})
      
      # Scraping mars hemisphere images
      for x in range(len(hemisphere_image_urls)):
          url = "https://astrogeology.usgs.gov/search/results?q=hemisphere+enhanced&k1=target&v1=Mars"
          driver.get(url)
          html = driver.page_source
          soup = BeautifulSoup(html, 'html.parser')
          driver.find_element_by_partial_link_text(f"{hemisphere_image_urls[x]['title']}").click()
          html = driver.page_source
          soup = BeautifulSoup(html, 'html.parser')
          hemisphere_image_urls[x]['img_url'] = soup.find('div', class_="downloads").find_all('a')[0]['href']
  
      driver.quit()
      
      # Recorded time of scrape
      last_scraped = datetime.datetime.now()
      last_scraped = last_scraped.strftime("%Y-%m-%d %I:%M")
      last_scraped = last_scraped.replace(" 0", " ")
  
      results = {"news_title": news_title, "news_p": news_p, "featured_image_url" : featured_image_url, "mars_weather": mars_weather,
          "Mars_facts_table" : Mars_facts_table, "hemisphere_image_urls": hemisphere_image_urls, "last_scraped": last_scraped}
      
      return results