Modern demolition practices must comply with the principles of the circular economy, which in turn is enhanced by the adoption of digital technologies. Methodologies such as Building Information Modelling (BIM) facilitate an integrated approach to planning throughout the life cycle of a construction asset based on data and models. Challenges arise, particularly in the asset’s end-of-life phase, due to the absence of BIM models and limited interoperability. By conceptualizing an asset destined for demolition or renovation and adopting the viewpoint that it’s a repository of construction materials and products for potential reuse, the data can be harnessed to design a simplified deconstruction process. Making this data available in an open format that allows integration with secondary materials markets increases the possibility of planning the demolition process based on demand. This approach promotes circularity, encouraging the reuse of construction products, upcycling, and recycling of materials. This article describes a methodology for extracting asset data, facilitating the integration with optimization algorithms for demolition sequence. It illustrates an approach to applying a methodology for extracting precedence relationships between construction elements of a building from the geometric component of a BIM model, adapted for demolition. Thus, by adopting information management techniques, open data formats available, and IT tools and applications distributed publicly, the proposed methodology enhances optimization based on BIM models and is geared towards finding deconstruction activities complying with circular principles and sustainable practices.