GoogleTrendArchive: A Year-Long Archive of Real-Time Web Search Trends Worldwide
This dataset addresses a gap for researchers studying global information diffusion and collective behavior, though it is incremental as it archives existing data without new methods.
The authors tackled the lack of historical access to Google's real-time trending search data by creating GoogleTrendArchive, a dataset spanning over a year with over 7.6 million trend episodes across 125 countries, enabling systematic studies of collective attention dynamics.
GoogleTrendArchive is a comprehensive archive of Google Trending Now data spanning over one year (from November 28, 2024 to January 3, 2026) across 125 countries and 1,358 locations. Unlike Google Trends, which requires specifying search terms in advance, Trending Now captures search queries experiencing real-time surges, offering a way to inductively discover trending patterns across regions for studying collective attention dynamics. However, Google does not provide historical access to this data beyond seven days. Our dataset addresses this gap by presenting an archive of Trending Now data. The dataset contains over 7.6 million trend episodes. Each record includes the trend identifier, search volume bucket, precise timestamps, duration, geographic location, and related query clusters. This dataset, among other, enables systematic studies of information diffusion patterns, cross-cultural attention dynamics, crisis responses, and the temporal evolution of collective information-seeking at a global scale. The comprehensive geographic coverage facilitates fine-grained cross-country or cross-regional comparative analyses.