Amazon Mechanical Turk, an online marketplace designed for crowdsourcing tasks to other people for compensation, is growing in popularity as a platform for gathering research data within the social sciences. Sociology, compared to some other social sciences, has not been as quick to adopt this form of data collection. Therefore, in this paper I overview the basics of Mechanical Turk research and suggest its pros and cons, both in general and in relation to different sociological data-collection methods and research needs. While Mechanical Turk is currently the most popular crowdsourcing website for research, I present general concepts, patterns, and suggestions that can be applied beyond Mechanical Turk to other crowdsourcing and online research.