The purpose of this project was to build an APP to conduct web-scraping of MARS data and create an HTML page to show the results.
We used Juypyter Notebook to scrape full resolution of Mars's Hemispheres alongside its and names from the site: https://marshemispheres.com/' and stored them into a dictionary that was then added to our APP so it was displayed on our HTML page.
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Here you can see the dictionary created once the data was scraped:
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Here is the results of adding the scraped data to our HTML webpage:
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Finally, we added some style to the page by stylizing the button to be smaller relative to the headline and also by making the featured image a circle to fit the theme of planetary data.
We successfully created a page that aesthetically displays the data collected, is mobile-responsive and uses Bootstraps 3 components to style the webpage creating a user-friendly scraping tool.
Data Sources: 'https://data-class-mars.s3.amazonaws.com/Mars/index.html', 'https://marshemispheres.com/'
Software: Python, HTML, Jupyter Notebook