web-scraping-challenge

• Create a Jupyter Notebook file called mission_to_mars.ipynb and use this to complete all of your scraping and analysis tasks. The following outlines what you need to scrape.

• Scrape the Mars News Site and collect the latest News Title and Paragraph Text. Assign the text to variables that you can reference later.

• JPL Mars Space Images: Use splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable called featured_image_url.

• Visit the Mars Facts webpage here and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, etc.

• Visit the astrogeology site here to obtain high resolution images for each of Mar's hemispheres.

• Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above.