`Web Scraper App`

Project Description

The goal of this project is to build a web application that scrapes various websites for data related to the NASA's website for Mars and Mars data and displays the information in a single HTML page.
First, begin scraping the NASA Mars News Site using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter and collect the latest News Title and Paragraph Text and assign the text to variables that can be referenced later.
Then, visit this url and using splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable.
Using the same scraping libraries, visit the Mars Facts webpage here and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, and other relevant data. Then, visit the USGS Astrogeology site here to obtain high resolution images for each of Mar's hemispheres.
Finally, using MongoDB and Flask, build an HTML page that displays all of the information that was scraped/gathered from the URLs previously listed.

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Images		Images
__pycache__		__pycache__
output		output
static/css		static/css
templates		templates
.gitattributes		.gitattributes
Procfile		Procfile
README.md		README.md
app.py		app.py
index.html		index.html
mars.ipynb		mars.ipynb
requirements.txt		requirements.txt
scrape_mars.py		scrape_mars.py