Complete your initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter by visiting NASA Mars News, JPL Mars Space Images - Featured Image, Mars Facts, and USGS Astrogeology site to obtain data on Mars.
Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above.
Start by converting your Jupyter notebook into a Python script called scrape_mars.py with a function called scrape that will execute all of your scraping code from above and return one Python dictionary containing all of the scraped data.
Next, create a route called /scrape that will import your scrape_mars.py script and call your scrape function.
Store the return value in Mongo as a Python dictionary.
Create a root route / that will query your Mongo database and pass the mars data into an HTML template to display the data.
Create a template HTML file called index.html that will take the mars data dictionary and display all of the data in the appropriate HTML elements.
