This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how to use generic online survey tools in long-term snowball sampling campaigns and how to compute population size estimates through capture-mark-recapture formulas, thus solving a significant methodological challenge of collecting snowball data for unbounded networks.