In this study, we utilized hybrid approach mixing search-based algorithms and LLM to collect 492 seed-mediated gold nanoparticle (AuNP) synthesis protocols from various literature sources available online. This dataset confirmed that the choice of seed capping agent influences the eventual shape classification of the AuNPs, aligning with established understanding in the field. Additionally, we identified a correlation between the aspect ratio of the final AuNRs and the concentration of silver nitrate, despite challenges due to considerable variability in the data. Our findings underscore the importance of literature-derived datasets in advancing knowledge for further high-throughput synthesis and understanding synthesis science.