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Building an app to scrape websites for data pertaining to the Mission to Mars and creating an HTML page to display my findings

Jupyter Notebook 65.76% Python 22.99% HTML 11.25%
web-scraping mongodb flask splinter beautifulsoup jupyter-notebook python

mission-to-mars's Introduction

Mission to Mars

Overview of Project

For this week's project, we will be visiting different websites to extract data. This method is also known as web scraping. Web scraping automates tasks to pull data instead of manually copying data from multiple websites. We will then be storing this data in MongoDB, a NoSQL database. Then, we will render the data in a web application using Flask. Some additional libraries and tools we will be using are Splinter and Beautiful Soup. Splinter will be used to automate a web browser and Beautiful Soup will be used to parse and extract data.

Purpose

The purpose of this week's project is to scrape websites that have data pertaining to Mission to Mars. This includes Mars news, Mars images, Mars facts, and images of Mars' hemispheres. We then will use a web application to display the Mars findings.

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