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Finding sex workers for survey interviews, let alone identifying trafficking victims, has not been easy and researchers struggle to develop field methods to do so. In this study, we experimented with a network-based link-tracing sampling strategy to select a sample of commercial sex-workers from the city of Muzzafarpur in the northern Indian state of Bihar. Our purpose was to first estimate the size of the sex worker population, and then estimate the proportion of sex workers who had been victimized for sexual trafficking. Backed by census data and other auxiliary estimates, we obtained a stratified initial sample of 111 individuals, and achieved two waves of referrals to generate a final sample size of 317 individuals. A sophisticated network-based analysis is used to estimate characteristics of the study population. We detail the sampling design and present the results from the study, highlighting significant findings and lessons learned that can be used for future studies on similar populations. Recommendations for wider application of this method are also discussed. We hope to popularize this method so that more field researchers can use it for topics on hard-to-reach populations.