Website scraping is a technique used by developers to extract data from websites, allowing for the collection and processing of large amounts of information at scale and volume that wouldn't be achievable by humans. This process involves software that automatically loads, extracts, and processes data from websites, often using methods such as text pattern matching, HTTP programming, HTML parsing, and DOM parsing. Web scraping is used in various industries and careers, including technology, sales, and account management, to inform critical business processes, improve customer experiences, or enable research that wouldn't be possible otherwise. It can also be used for news aggregation, product details extraction, competition monitoring, business contact details extraction, and property details extraction from real estate websites. The benefits of website scraping include the ability to collect and process data at a scale and volume that would be impossible for humans, enabling businesses to make informed decisions, improve customer experiences, and conduct research. Python is one of the most popular programming languages used for web scraping, with libraries such as Urllib2 and Beautiful Soup assisting developers in retrieving web pages and extracting desired data.