We examine whether internet search intensity, as captured by Google’s Search Volume Index (SVI), predicts house price changes in an emerging market like India.  Emerging markets have low internet penetration and high information asymmetry with a dominant unorganized real estate market.  Like in developed markets such as the US, we find that internet search intensity strongly predicts future house price changes.  A simple rebalancing strategy of buying a representative house in the city with the greatest change in search intensity and selling a representative house in the city with the smallest change in search intensity each quarter yields an annualized excess (over risk-free government t-bills) return of 4 percent.