Additionally, we discovered that CsPbBr 3 and bismuth oxyhalides are novel structures that have recently gained attention in the field of CO 2 reduction. The number of publications involving these materials has shown a notable increase over the years, indicating their growing significance in the research community. Our analyses demonstrate the utilization of natural language processing (NLP) tools for investigating CO 2 RR and other catalyzed reactions. By employing rule-based techniques, such as regular expressions and dictionary lookups, we strike a balance between automated analysis to reduce workload and the precision achieved through manual extractions. The high-quality data obtained using these methods can be leveraged for various NLP tasks. It is worth noting that while we adopted these particular strategies, alternative NLP methodologies also exist. To the best of our knowledge, our work extends previous research by integrating multiple types of information to offer a comprehensive and conclusive review of the advancements in CO 2 RR. Notably, our investigation incorporates a larger corpus and encompasses a broader range of target materials, enhancing the breadth and depth of our findings.