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Building a Web Scrapper using Python

Description

Using Python to scrape prices and generate CSV files. There are two parts to this project.

Part 1: Stanley Cup Scraper

Stanley Cups are the hottest craze right now. The 40 oz sippy cup racked up $750 million in just one year. I wanted to track the prices of Stanley Cups on Amazon. Using Python, I built a price scraper for Stanley Cups. I utilized the BeautifulSoup library and created a function to automate this process.

Part 2: Crypto Scrapper

I wanted to be able to track the prices of the top 15 cryptocurrencies. Lately, the crypto market has been booming. In this project, I learned how to use an API to pull in data and turn that data into a CSV file. The API I used was from CoinMarkertCap.com. This entire process is automated. I then took the data and made some visuals using Seaborn, Matplotlib, and Tableau.

What I learned

  • Set up Jupyter Notebooks in VSCode
  • Call an API
  • Utilize functions in Python for automation
  • BeautifulSoup library

Honorable Mentions

The inspiration for these projects came from Alex The Analyst on Youtube. Please check out his channel.