  Web archiving frameworks are commonly assessed by the quality of their
archival records and by their ability to operate at scale. The ubiquity of
dynamic web content poses a significant challenge for crawler-based solutions
such as the Internet Archive that are optimized for scale. Human driven
services such as the Webrecorder tool provide high-quality archival captures
but are not optimized to operate at scale. We introduce the Memento Tracer
framework that aims to balance archival quality and scalability. We outline its
concept and architecture and evaluate its archival quality and operation at
scale. Our findings indicate quality is on par or better compared against
established archiving frameworks and operation at scale comes with a manageable
overhead.
