In-Depth Guide to Web Scraping for Machine Learning in 2021

As of January 2021, 4.7 billion people around the world have been recorded to use the internet, creating 1.7MB of data every second. Crawling this exponentially growing volume of data could provide many opportunities for breakthroughs in data science. Data scientists can leverage crawled data to perform many tasks like real-time analytics, training predictive machine learning models, and improving natural language processing capabilities. Web crawling software, such as Bright Data's data collector, extracts real-time public data from online platforms and deliver it to businesses on autopilot in different formats. This software is especially useful when collecting data from websites that protect themselves against scraping.