Recently, online social networks, OSNs, have gained significant popularity and are among the most popular ways to use the Internet. Additionally, researchers have become more interested in using the social interaction networks, SINs[1], in order to further enhance and personalize their services[2]. OSNs are also redefining roles within the publishing industry, allowing publishers and authors to reach and engage with readers directly[3]. However, SINs are not very easily available as of today through the current APIs provided by most OSNs. Such applications would therefore spend tremendous amount of time trying to gather the required SINs for their services. Therefore, our research problem is how we can design a system that makes social interactions in OSNs accessible. This also refers to the problem of how to crawl OSNs in a structured way, which is the focus of this short paper.