Mission-to-Mars - A Web Scraping Adventure

Objectives:

To build a web application that "srapes" data from various websites related to Mission to Mars and displays a summary output of all extracted data in an html landing page
To extract data via Web Scraping using Jupyter notebook & utilizing BeautifulSoup, & Splinter/Requests python libraries to obtain data & clean data using Pandas library
To use MongoDB with Flask templating (Jinja) and create the HTML landing page to display summarized data

scrape_mars.py - Jupyter notebook converted to a Python script that contains the "scrape" function that will execute all of your scraping code from above and returns one Python dictionary containing all of scraped data

app.py - is a Flask application that will import the `scrape` function from `scrape_mars`. The following routes are available in this app

a root route `/` that will query the Mongo database and pass the mars data into an HTML template to display the data
`/scrape` route that imports scrape_mars.py and calls the `scrape` function then stores the return value as a Python dictionary

index.html - an html file using Jinja templating that will take the mars data dictionary and display all of the data in the appropriate HTML elements

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
app		app
images		images
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
mars_data		mars_data
mars_facts.html		mars_facts.html
mission_to_mars.ipynb		mission_to_mars.ipynb