Dramatic literature is a superb example of a literary genre that is reflective of and responsive to people’s everyday socio-political reality and their lifestyle and values. This study aims to explore the trends and tendencies that a computational analysis of 200 Iranian plays reveals to us about the complexity of everyday life in Iranian society and its shifting multi-layered contexts. Iranians’ everyday life is grounded in the Islamic Republic’s uneasy mix of political Islam, populism, and neoliberalism as well as citizens’ values, relations, patterns of social mobility, pleasure-seeking, and consumption, and their ideological repositionings and religio-moral ambivalence. Our data-assisted analysis reveals trends and topics in playwriting that may not be visible from a close study of this corpus. As a subfield of Natural Language Processing, topic modeling and its powerful text mining technique allow us to discover latent data in large corpora and the relationships between the data. More precisely, this generative statistical model helps us identify collections of words that co-occur together in each playscript but also co-occur in other playscripts throughout the corpus. One strand of our computational analysis includes transcribing the scripts to machine readable formats, finding sentences where most common words were used and annotating them by hand, then downloading the trend data and further analyzing it in Python. Examining the changes in lexical choices and the frequency of phrases over time (from 1880 to 2015) helps us trace the trajectory of playwrights’ visions and concerns in this temporal frame. It also sheds light on the themes and verbal motifs that were utilized frequently in the dramatic world of the corpus plays in order to dramatize the above-mentioned values, patterns, and practices in Iranian dramatic repertoire and the shift that happens to them. Rather than offering definitive answers about the role of drama in reflecting the everyday lives of Iranians over this timespan, our contextualized methodology of data-assisted analysis allows us to ask questions in new ways, resituate our assumptions, and thus contribute to the multiplicity of perspectives that exist in both playwriting and the research about playwriting.