Web Scraping is the process of extracting large amounts of data from websites. The Web Scraper either saves them to their computer or transfers them to a spreadsheet. It automates the process of manually copying and pasting data that is made viewable through a web browser.

While Data Analysts have the ability to obtain increasingly rich data sources, they are limited by ways in which that data can be accessed and used. Web Scraping is important to learn so these Analysts can quickly and efficiently capture data from various sources in order to discover insights and make decisions.

Web Scraping services are in-demand thanks to the sophisticated technical skills required to get it done. Because organizations are seeing how effective data analysis can help their business grow, the demand for Web Scraping is expected to increase. Some industries that have the highest demand for Web Scraping include e-commerce, media, website creation, real estate, and others.

Some titles associated with Web Scraping include Data Scientist, Web Developer, Web Collection Specialist, Research Assistant, Application Developer, Web Mining Developer, Site Merchandiser, Market Intelligence Analyst, and of course, Web Scraper. In the U.S., Web Scraping can earn learners an average of $79,018 per year, according to ZipRecruiter.

Web Scraping courses offered through Coursera equip learners with knowledge in treating the internet as a source of data; working with HTML, XML, and JSON data formats in Python; using Python to access web data; getting and cleaning data; and more.

Lessons on Web Scraping are taught by instructors from major tech names and universities, including University of Michigan, John Hopkins University, and other organizations. Learners can enjoy exploring Web Scraping with instructors specializing in Programming, Biostatistics, Database Design, Web Development, and other disciplines. Course content on Web Scraping is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.