As a case study, we consider ZIF-8, a commonly synthesized MOF material which has been extensively studied within the literature. ZIF-8 is constructed from a combination of zinc ions and 2methylimidazole in the sodalite topology, held together with metal-amine bonds rather than the more common metal-carboxylate bonds, thus rendering the material both hydrophobic and waterstable. Accordingly, ZIF-8 has garnered significant interest in the literature for applications including gas storage and separation, adsorptive refrigeration, biomolecule encapsulation, catalysis, and sensing. Further, ZIF-8 can be synthesized from a number of strategies -for example using protic or aprotic solvents, a range of temperatures, reagent concentrations, modulators and crystal growth modifiers, and acid/base conditions. In sum, over 7500 papers have been published regarding ZIF-8 to date. Given the breadth of synthesis protocols established for ZIF-8, it practically impossible to manually compare all possible synthesis methodologies to one another. Applying text mining methods to automatically and quantitively analyse ZIF-8 synthesis protocols would enable larger-scale analysis and the identification of promising synthesis strategies.