Data Mining. We extracted the synthesis conditions from MOF publications using different NLP techniques. To select synthesis paragraphs, we developed a decision tree algorithm based on a keyword list selected from 100 MOF synthesis papers. To analyse the synthesis paragraph and identify information about chemical entities, experimental steps, and corresponding conditions associated with those steps, we applied the ChemicalTagger software. When precursors, solvents and additives, as well as solvothermal synthesis conditions were extracted, we compared the metal element from the automatically formed synthesis protocol to the CoRE MOF database to eliminate mismatched conditions. The results of this fully automated data extraction are collected in the SynMOF-A database.