Go Web Scraping Quick Start Guide

Building datasets

Data scientists often need hundreds of thousands of data points in order to build, train, and test machine learning models. In some cases, this data is already pre-packaged and ready for consumption. Most of the time, the scientist would need to venture out on their own and build a custom dataset. This is often done by building a web scraper to collect raw data from various sources of interest, and refining it so it can be processed later on. These web scrapers also need to periodically collect fresh data to update their predictive models with the most relevant information.

A common use case that data scientists run into is determining how people feel about a specific subject, known as sentiment analysis. Through this process, ...