A Web Scraping based approach for data research through social media: An Instagram case

This paper presents a Web Scraping based approach to solve the data extraction problem in Instagram. Data from Instagram can be helpful in different research contexts. We describe the theoretical characterization of our proposal and its implementation in a real-case scenario. Also, we provide preliminary results and potential implementation challenges. The main contribution of our work is an instrument for research applying social media data analytics. Thus, researchers can take advantage of Instagram as a rich and dynamic data source.