Biology today is heavily data-driven and knowledge-centric that are stored across the linked open web in numerous heterogeneous deep web databases. To improve searching, finding, accessing, and inter-operating among these diverse information sources to increase usability, the FAIR data principle has been proposed. Unfortunately, FAIR compliance is extremely low and linked open data does not guarantee FAIRness, leaving biologists on a solo hunt for information on the open network. In this paper, we propose SoDa, for intelligent data foraging on the internet. SoDa helps biologists discover resources based on analysis requirements, generate resource access plans, and store cleaned data and knowledge for community use. A secondary search index is also supported for community members to find archived information conveniently.