I Generated 1,000+ Fake Dating Profiles for Data Science

I Generated 1,000+ Fake Dating Profiles for Data Science

How I used Python Web Scraping to Create Dating Profiles

D ata is one of the world’s newest and most precious resources. Most data gathered by companies is held privately and rarely shared with the public. This data can include a person’s browsing habits, financial information, or passwords. In the case of companies focused on dating such as Tinder or Hinge, this data contains a user’s personal information that they voluntary disclosed for their dating profiles. Because of this simple fact, this information is kept private and made inaccessible to the public.

However, what if we wanted to create a project that uses this specific data? If we wanted to create a new dating application that uses machine learning and artificial intelligence, we would need a large amount of data that belongs to these companies. But these companies understandably keep their user’s data private and away from the public. So how would we accomplish such a task?

Well, based on the lack of user information in dating profiles, we would need to generate fake user information for dating profiles.