This dissertation explores the integration of serverless computing and blockchain technologyin developing a Web3 wallet aggregation application, WalletScan. Positioned at theintersection of serverless cloud technology and digital economies, WalletScan embodies thepotential and challenges of employing serverless architectures to manage blockchain dataeffectively. Through a practical application framework, this study investigates the scalability,cost-efficiency, and developer experience of serverless systems in supporting complex, data-oriented blockchain applications.The research delves into the deployment of WalletScan as a Software-as-a-Service (SaaS)platform, enabling users to scan blockchain wallets and analyse cryptocurrency transactions.The application leverages Firebase for authentication and serverless backend operations,Vercel for serverless frontend deployment, and integrates sophisticated features like Web3onboarding and WalletConnect to ensure secure user interactions.Significant findings indicate that serverless architectures facilitate rapid deployment andscalability while minimizing operational overhead and costs. However, challenges such asthird-party API integration complexities and the inherent limitations of serverless platformsin handling granular control over backend processes are also documented. This studyprovides a balanced perspective on the feasibility of serverless technologies in the emergingfield of Web3, underscoring both their transformative potential and the need for enhancedtools and strategies to address their limitations.By examining WalletScan's implementation and operational dynamics, this dissertationcontributes to the understanding of how serverless computing can be optimally harnessed inblockchain applications, offering insights that are vital for developers and industrypractitioners navigating the evolving landscape of digital finance and decentralisedapplications.