Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content. As Instagram is a popular application used by millions of people with different niches, Instagram keeps changing to make itself better for the content creators and the users. But as this keeps changing, it affects the reach of our posts that affects us in the long run. So if a content creator wants to do well on Instagram in the long run, they have to look at the data of their Instagram reach. That is where the use of Data Science in social media comes in. If you want to learn how to use our Instagram data for the task of Instagram reach analysis, this article is for you. In this article, I will take you through Instagram Reach Analysis using Python, which will help content creators to understand how to adapt to the changes in Instagram in the long run.