This paper analyses the efficiency of EU internal dairy markets between 2000 and 2014 from spatial price integration perspective, employing a cross-methodological approach in three steps. First, we analyse the spatial integration of raw milk markets, which is often used to test the efficiency of agricultural markets. National monthly raw milk price data are tested for integration and whether the Law of One Price (LOP) holds. Second, we assess integration results in a binary choice setting, employing gravity model variables. Finally, in order to partly overcome the often cited drawback of price transmission analysis (i.e. that by employing price variables (only), there is no connection with real trade flows), bidirectional network analysis models are designed using export variables. Country specific network centrality measures were contrasted with the frequency of LOP fulfilment. Results suggest that besides the milk volume traded, the position occupied in the trade network structure should be also considered when market integration is analysed.