Nusratnimme / Mission-to-Mars

Scrapping NASA's webpage on Mars, storing the data into Mongodb, creating a flask application to interact with Mongodb and render an interactive webpage.

Mission to Mars

Overview

Robin, a data scientist, is very much interested in astronomy. She would like to create an web application to scrape and present NASA's published data on Mars.

Resources

• Jupyter notebook 6.4.6
• VS code
• Beautiful soup
• Splinter
• Mongodb; Pymongo
• Flask
• Bootsrap 3

Purpose

The main purposes in this exercise are to:

1. scrape NASA's webpage on Mars;
2. store the data into Mongodb;
3. create a Flask web application to interact with Mongodb and render an interactive webpage to scrape the data whenever needed.

Outputs

Python script to scrape Mars data

A python script with defined function to scrape below data was developed:

• latest Mars news;
• featured image of Mars;
• facts about Mars;
• Mars hemisphere phtos;

The data were stored in a Mongo database.

HTML for the web page

The HTML script specified how to display the scrapped data on a webpage.

Bootstrap elements were added to enhance the appearance of the web page and to make it responsive to screen size.

Python web application

The application interacted with Mongodb and used the scrapping script and the HTML script to render the scrapping web application.