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Ariel Herrera introduces a tutorial on web scraping, specifically for real estate data. He aims to show viewers how to leverage internet data for business advantages, such as finding deals and evaluating potential tenants. The video is divided into two parts: an overview of web scraping and a technical deep dive using Python for those with programming knowledge. Ariel uses New Jersey as a case study to illustrate the process and possibilities of web scraping, mentioning notable counties like Atlantic and Hudson. By the end of the tutorial, viewers will understand web scraping concepts and the tools necessary for implementation.