Web scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. MongoDB with Flask templating to create a new HTML page

Use Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter to scrape various websites.

In this repository, titles and preview text are scraped from Mars news articles in the part_1 Jupyter notebook. In the part_2 Jupyter notebook, Mars weather data is analyzed and scraped.

Web scraping and development using Jupyter Notebook, Python, HTML, Bootstrap, Beautiful Soup, Splinter, and Mongo DB.

Use Jupyter notebook, mongoDB, beautiful soup, Splinter, Python to collect and process information on the web.

Web scraping using Jupyter Notebook, Splinter and HTML parsing with Beautiful Soup. The data was then stored in MongoDB.

Web scraping application presenting various websites' data related to the Mission to Mars in a single HTML page. Includes Jupyter Notebook scraping, MacOS and Windows Splinter options.

Web scraping application presenting various websites' data related to the Mission to Mars in a single HTML page. Scraping with Jupyter Notebook, BeautifulSoup, Pandas, Requests/Splinter.

Full stack application, web-scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. The data used for this project was from NASA Mars news site.

News scraped from NASA’s live website using Jupyter Notebook, BeautifulSoup, Splinter; web app with Flask, HTML, JavaScript, Bootstrap displays NoSQL database on MongoDB; interactive refresh.

This app scrapes the latest data regarding Mars exploration and presents it in one convenient online user interface. Uses MongoDB, Splinter, ChromeDriveManager, Beautifulsoup, Jupyter Notebook, Pandas, HTML and CSS.

Flask generated web page displaying a collection of mars info scraped from 4 other sites via Splinter and Beautiful Soup and stored in a MongoDB... written in Python, HTML and CSS with Jupyter Notebook and VSCode.

Built a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page. Skills Needed: Python, Jupyter Notebook, BeautifulSoup, Pandas and Requests/Splinter, HTML, CSS, Bootstrap

This project analyzes news and weather information related to Mars through web scraping using Jupyter notebooks. The skills utilized are web scraping, Splinter, Beautiful Soup, data analysis with Pandas, and chart plotting with Matplotlib.

In this project I utilized Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter to scrape information about Mars from several different websites, and utilized MongoDB with Flask templating to create an HTML page with all the information that was scraped.

Embarking on Mars data exploration! Using Jupyter Notebooks, I'll scrape Mars news and weather details. Firstly, I'll extract titles and preview text from the Mars News site using Beautiful Soup. Then, I'll dive into Mars weather data, analysing temperatures, atmospheric pressure, and more.