Software quality is an important aspect to guarantee maintainability and comprehensibility of developed source code. Modern software projects use static code analysis tools to continuously monitor the software quality. Based on findings from these tools, developers refactor their code with the aim to remove detected code smells. Refactorings can use up a lot of resources when done manually and a lot of authors suggest semi-automated solutions to improve the refactoring experience for developers. One of the most applied refactorings is the extract method refactoring which is often used to improve long and complex methods. Recent studies showed, that existing semi-automated tools for this refactoring are not preferred by developers. We propose an approach to fully automate the extract method refactorings based on findings from static code analysis tools. Our approach finds refactoring opportunities in a selected method and ranks these candidates according to a scoring function. The highest ranked candidate will be automatically refactored using the extract method refactoring. We implement our approach using the existing Refactoring Bot framework, a software development bot which seamlessly integrates into the build pipeline of existing projects.