Conducting Online Research on Amazon Mechanical Turk and Beyond, written by Leib Litman and Jonathan Robinson, provides researchers with information on essential aspects of this important research platform. Drawing on their experiences creating and running TurkPrime, an online platform designed specifically to connect applied social science researchers with Amazon Mechanical Turk, the authors hone in on common researcher pitfalls and key information researchers need to know before beginning their studies. First, this book is a step-by-step technical manual of how to use MTurk, starting from the beginning and focusing in on more challenging aspects of research like longitudinal designs and obtaining representative samples. Screenshots of the platform walk readers through each part the research process, from setting up an account to evaluating data quality. Second, the book is a profile of MTurk systems and cultures, drawing from the authors’ own research into the platform and data from TurkPrime. Studies from disciplines like psychology, business, political science, computer science, sociology, communications and others have used MTurk for participant recruitment. The aggregated data on hundreds of thousands of participants and tens of millions of tasks in this text provides the clearest snapshot to date on participant characteristics in MTurk. Finally, the book is a contribution to the dialogue on the development of MTurk, detailing issues of ethics, bias, effectiveness of research, and comparisons to other online methods from a deeper perspective. Rarely-addressed technical issues like APIs, pay rates, and sampling methodologies offer concrete courses of action for researchers. This book is applicable to novice and experienced researchers alike, and is an excellent source of information for researchers wanting to know more about how to best use Amazon Mechanical Turk.