- Use Splinter and Beautiful Soup to parse various websites HTML code
- Store text, tables, and image sources using parsed data using MongoDB
- Display stored info on a website in a single HTML page
- mission_to_mars.ipynb - Jupyter Notebook that performs the initial scraping of each site. Markdown includes steps taken to find the desired information via HTML code
- scrape_mars.py - Python script that uses the parsing methods from the Jupyter Notebook that returns a dictionary object to be inserted into MongoDB
- app.py - Python Flask app that loads the Index.html as a template and runs the scrape_mars.py parsing script, and loads the parsed info through MongoDB to be used by the template
- chromedriver.exe - Browser used by Splinter to parse HTML
- Index.html - HTML page that displays the information parsed through various Mars websites and creates a dashboard of information. Styled using Bootstrapping
