Mission_to_Mars_Challenge.py

#!/usr/bin/env python
# coding: utf-8

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# Import Splinter and BeautifulSoup
from splinter import Browser
from bs4 import BeautifulSoup as soup
from webdriver_manager.chrome import ChromeDriverManager
import pandas as pd


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executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser('chrome', **executable_path, headless=False)


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# Visit the mars nasa news site
url = 'https://redplanetscience.com'
browser.visit(url)
# Optional delay for loading the page
browser.is_element_present_by_css('div.list_text', wait_time=1)


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html = browser.html
news_soup = soup(html, 'html.parser')
slide_elem = news_soup.select_one('div.list_text')


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slide_elem.find('div', class_='content_title')


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# Use the parent element to find the first `a` tag and save it as `news_title`
news_title = slide_elem.find('div', class_='content_title').get_text()
news_title


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# Use the parent element to find the paragraph text
news_p = slide_elem.find('div', class_='article_teaser_body').get_text()
news_p


# ### Featured Images

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# Visit URL
url = 'https://spaceimages-mars.com'
browser.visit(url)


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# Find and click the full image button
full_image_elem = browser.find_by_tag('button')[1]
full_image_elem.click()


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# Parse the resulting html with soup
html = browser.html
img_soup = soup(html, 'html.parser')


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# Find the relative image url
img_url_rel = img_soup.find('img', class_='fancybox-image').get('src')
img_url_rel


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# Use the base URL to create an absolute URL
img_url = f'https://spaceimages-mars.com/{img_url_rel}'
img_url


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df = pd.read_html('https://galaxyfacts-mars.com')[0]
df.columns=['description', 'Mars', 'Earth']
df.set_index('description', inplace=True)
df


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df.to_html()


# ### D1: Scrape High-Resolution Mars’ Hemisphere Images and Titles

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### Hemispheres


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# 1. Use browser to visit the URL 
url = 'https://marshemispheres.com/'

browser.visit(url)


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html = browser.html
img_soup = soup(html, 'html.parser')


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# 2. Create a list to hold the images and titles.
hemisphere_image_urls = []

# 3. Write code to retrieve the image urls and titles for each hemisphere.
for i in range(4):
    hemisphere = {}
    hemisphere['title'] = browser.find_by_css('a.itemLink h3')[i].text
    browser.find_by_css('a.itemLink h3')[i].click()
    hemisphere['img_url'] = browser.find_by_text('Sample')['href']
    browser.back()
    hemisphere_image_urls.append(hemisphere)


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# 4. Print the list that holds the dictionary of each image url and title.
hemisphere_image_urls


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browser.quit()


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