Structured Wikipedia traffic data for any topic, delivered to your AI. Measure information-seeking volume, detect sudden spikes from news events, and correlate with search and social signals across the same timeline.
Tools for this workflow
get_trendsExport the raw weekly Wikipedia page view time series - each point includes date, normalized traffic, and absolute view count estimate for custom event-correlation analysis.
get_trends(keyword='nuclear fusion', source='wikipedia', data_mode='weekly')
get_growthCalculate Wikipedia page view growth to quantify how much information-seeking has increased around a topic - useful for validating whether a news story is driving durable curiosity or a one-day spike.
get_growth(keyword='nuclear fusion', source='wikipedia', percent_growth=['1M', '3M'])
get_ranked_trendsFind the fastest-growing Wikipedia articles by page view growth - surfaces topics where information demand is accelerating, often a leading indicator that a subject is about to enter mainstream discourse.
get_ranked_trends(source='wikipedia', sort='mom_pct_change', limit=25)
get_top_trendsPull Wikipedia's live trending articles to see which topics people are rushing to look up right now - one of the clearest signals of breaking public curiosity.
get_top_trends(type='Wikipedia Trending', limit=25)
FAQ