Wikipedia page view trend data for AI

Wikipedia page views reveal what the world is suddenly curious about. Spike detection, historical page traffic, and cross-platform comparison - giving your AI a unique information-demand signal that precedes mainstream search.

get_trends

Chart Wikipedia page view history for any topic - the shape of the curve reveals whether public curiosity is building steadily or driven by isolated news events.

get_trends(keyword='quantum computing', source='wikipedia', data_mode='weekly')

get_growth

Measure Wikipedia page view growth and compare against Google Search - Wikipedia often spikes 24-72 hours before Google Search catches up, making it a leading indicator for breaking topics.

get_growth(keyword='quantum computing', source='wikipedia, google search', percent_growth=['1M', '3M'])

get_ranked_trends

Find which Wikipedia articles are seeing the fastest-growing view counts - surfaces topics where public information-seeking is accelerating, often ahead of mainstream media coverage.

get_ranked_trends(source='wikipedia', sort='wow_pct_change', limit=25)

get_top_trends

See which Wikipedia articles are trending right now - no keyword required. Use this to detect breaking news events and emerging public curiosity in real time.

get_top_trends(type='Wikipedia Trending', limit=20)

Common questions

Wikipedia page view trends - normalized traffic to the Wikipedia article for a given topic over time. This is a strong information-demand signal: when something breaks in the news, Wikipedia views spike before Google Search catches up.
Wikipedia spikes often lead Google Trends by 24-72 hours for news-driven events. It is a leading indicator of public curiosity - useful for media, research, and investment applications.
Yes, currently English Wikipedia page views are tracked. Multi-language support is on the roadmap.
Yes. Any topic with a Wikipedia article can be tracked. Company pages, political figures, scientific concepts, and current events all work.