Facebook is widely used and Facebook has been widely researched. However, though digital trace data has been used to study educational technology tools and other social media platforms, it has not been used very much to study Facebook—instead, the same self-report surveys used in many educational research studies have been predominant (Niu, 2019). This gap concerning how Facebook has been studied may be important given what has been learned from researchers using data mining or learning analytics approaches to analyze digital trace data at a massive scale (Greenhow et al., 2020). While it has been impractical to use Facebook as a source of data, the CrowdTangle platform provides access to researchers—faculty and graduate students—to freely access the massive collection of posts on public Facebook pages and groups. In the absence of suitable examples or a tutorial, this paper provided a primer that offered some considerations for researchers prior to collecting data (i.e., conducting research ethically and framing the research) as well as those that directly pertain to using CrowdTangle: accessing the CrowdTangle platform, uploading or identifying pages (or groups), and downloading historical data. Lastly, this paper described the steps taken to analyze the data to answer two research questions, with the intent of illustrating how the data could be used (and not to exemplify this process). To provide other researchers with a starting point for using the R statistical software and programming language, an R Markdown document with all of the steps necessary to reproduce these analyses is provided. I discuss some directions for research that uses Facebook as a data source to understand educational topics and people and organizations.