/Mission-to-Mars

This project scrapes data from various websites to create a new webpage that highlights facts about the planet Mars using beautiful soup.

Primary LanguageJupyter Notebook

Mission-to-Mars

Project Overview

Robin's web app is looking good and functioning well, but she wants to add more polish to it. She had been admiring images of Mars’s hemispheres online and realized that the site is scraping-friendly. She would like to adjust the current web app to include all four of the hemisphere images. To do this, you’ll use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.

Note: The above project overview was extracted from the background to the module 10 Challenge.

Resources

Data Sources: https://astrogeology.usgs.gov/search/results?q=hemisphere+enhanced&k1=target&v1=Mars

Code Files: Mission_to_Mars_Challenge.ipynb, Mission_to_Mars_Challenge.py, Mission_to_Mars.ipynb

Software/Libraries: Visual Studio Code 1.56.0, jupyter Notebook 6.3.0, Jupyter lab 3.0.14, Flask 1.1.2, Splinter 1.26.4, Web Drive Manager, Beautiful Soup, Pymongo, MongoDB 4.4.6, Mongo DB Compass, htmlslib, lxml.

Project Result

Scrape Full-Resolution Mars Hemisphere Images and Titles

Hemisphere Images and titles

Update the Web App with Mars’s Hemisphere Images and Titles

Mars_images

Nnaemeka Enukorah

26th June, 2021