Analysis of verb valency frames includes a description and list of the number and types of arguments to which a given verb opens a place in a sentence, that is, which the verb governs on a syntactic and morphological level. After a theoretical consideration of the characteristics of valency and transitivity and an overview of Croatian language resources based on them, this paper presents a computational description of verb frames based on real language usage. As the source of corpus data, the SETimes-HR dependency treebank was selected, currently the largest corpus for the Croatian language annotated at the syntactic level, which is tagged and available online as part of the Universal Dependencies project (https://universaldependencies.org/hr/). Using the example of ditransitive verbs, a model for extracting valency frames was developed with the help of the pyconll package in the Python programming language. Annotation errors and difficulties in computational modeling of the dependent structure of the verb were identified and solutions were proposed. Quantitative analysis of the obtained data showed that ditransitive frames are rare in the corpus, but that ditransitive verbs are often realized in other valency frames. Finally, the concept of syntactic n-grams and collocations was introduced, which can extend the possibilities of frame extraction and improve the accuracy of the model. The presented method proved to be useful and applicable in future research on valency and verbal syntax, as well as in the development of language technologies for the Croatian language.