Go Undercover by Scraping Cryptocurrency Market Metrics

Information on cryptocurrencies like Bitcoin, Litecoin, Ethereum, are now in the main-stream media with speculation on which will be next digital gold standard. Trust is scarce in these markets. What many of the self-proclaimed experts are missing is valid data statistics to explain the foundation of their expertise. What if we could do our own cryptocurrency market analysis?

In this article, I am going to analyze the following cryptocurrencies Bitcoin, Ethereum, Litecoin. These are known to be the foundational cryptos, covering the majority of news mentions.

I plan to show you how easy it is to pull cryptocurrency market data using Python for further examination. You will learn how to use a Python code structure to extract, transform, and load data on just about every cryptocurrency market. We will also be able to configure the Python code to extract things like the cryptocurrency name, crypto symbol / ticker, price, percentage change over 24 hours, market cap data, volume over 24 hours, number of url shares, amount of reddit posts, number of tweets, galaxy score, volatility, social volume, news (amount of news mentions by coin), and close price.



Photo by Alex Kotliarskyi on Unsplash