Web Scraping Challenge - Mission to Mars

In this assignment, I've built a web application that scrapes various websites for data related to the Mission to Mars and displayed the information in a single HTML page.

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Step 1 - Scraping

Complete the following scrapes using Jupyter Notebook, BeautifulSoup, Pandas, and Splinter.

NASA Mars News

• Scrape the NASA Mars News Site and collect the latest News Title and Paragraph Text.

JPL Mars Space Images - Featured Image

• Visit the url for JPL Featured Space Image here.

• Use splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable called featured_image_url.

Mars Facts

• Visit the Mars Facts webpage here and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, etc.

Mars Hemispheres

• Visit the USGS Astrogeology site here

• Use splinter to navigate the site to obtain high resolution images for each of Mar's hemispheres.

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Step 2 - MongoDB and Flask Application

• Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above

• Use Pymongo for CRUD applications for the database.

• Use Bootstrap to structure the HTML template.

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Step 3 - Where to find the files

1. The Jupyter Notebook containing the scraping code used.

2. Screenshots of the final application.

3. Flask app.

4. Jinja template.

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Contact:

Email: thao.ph.ha@gmail.com