Mars Web Scraping
Python-based web scraping project to access data stored on a series of Mars-focused webpages and present the collated information on a Flask dashboard.
Overview
This project uses the BeautifulSoup Python library to access a series of informational sites about Mars, collate a selection of information, and present it in an aesthetically pleasing way via a Flask-based dashboard page. The project includes web scraping code developed in a Jupyter Notebook script, a Flask app with routes to scrape and store data, and an HTML template using Bootstrap for page design.
Features
- Web scraping using BeautifulSoup library
- Flask app with routes for scraping and rendering data
- Storing scraped data in a Mongo db using PyMongo
- Aesthetically pleasing HTML template using Bootstrap
- Button to scrape new data
- Dashboard page displaying the scraped data
Summary
This project uses web scraping techniques with BeautifulSoup to gather information about Mars from various websites. The scraped data is then displayed in a Flask-based dashboard page, providing users with an aesthetically pleasing and informative experience. The project's features include web scraping, data storage in a Mongo db, rendering data into an HTML template, and the ability to scrape new data with a button click. Overall, this project offers a comprehensive and user-friendly way to access and view Mars-related information.