The Memento Tracer Framework addresses the challenge of balancing quality and scalability in web archiving by utilizing both crawler-based and human-driven approaches. It features capabilities for creating reusable traces of web resources and aims to optimize the quality of captures while maintaining efficient processing. Evaluation studies indicate its potential to achieve high-quality archiving across various datasets, despite inherent performance trade-offs.