Google News trend data for AI assistants

Track what people are searching for in Google News. Breaking story volume, emerging coverage topics, and news interest momentum - structured data your AI can use to detect when a story is gaining media traction before it reaches peak saturation.

get_trends

Chart how much Google News search volume a topic has generated over time - see when a story peaked in media coverage and whether interest is rebuilding or fading.

get_trends(keyword='supply chain disruption', source='google news', data_mode='weekly')

get_growth

Compare Google News search volume growth against Reddit discussion and Wikipedia page views - triangulating all three reveals whether a topic is gaining media-driven or community-driven momentum.

get_growth(keyword='supply chain disruption', source='google news, reddit, wikipedia', percent_growth=['3M', '6M'])

get_ranked_trends

Find which news topics are seeing the fastest-growing search volume right now - useful for PR professionals, journalists, and researchers tracking where media attention is shifting.

get_ranked_trends(source='google news', sort='wow_pct_change', limit=25)

get_top_trends

Pull the live Google News RSS feed to see which stories are leading media coverage at this exact moment - no keyword required, surfaces the stories dominating the news cycle now.

get_top_trends(type='Google News RSS', limit=30)

Common questions

Google News search volume reflects how many people are actively searching for a topic within Google News specifically - a signal of breaking news interest rather than general information-seeking. It spikes sharply when a story breaks and declines as coverage fades.
Google News trend data measures search demand for a topic in the news context. News Sentiment data measures the tone (positive/negative) and volume of actual news articles published about a topic. Together they reveal both how much public attention a story is getting and whether coverage is favorable.
Yes. A sudden spike in Google News search volume often precedes the peak of broader Google Search interest by a few hours to a day. Combine with Wikipedia page view spikes for an early-warning signal stack.