Project begins with initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter from public websites:
- https://space-facts.com/mars
- https://mars.nasa.gov/news
- https://astrogeology.usgs.gov
1. The Jupyter Notebook contains the scraping code and the dictionary of information is saved as a Mongo database.
2. The Jupyter Notebook is then converted to a python file for use in a Flask app.
3. The Flask app has two routes- one for scraping new data from NASA and the other to redirect to the HTML home page code.
The code is run as a Python file with this result:
