Amazon search trend data for AI assistants

Measure real consumer purchase intent. Amazon search volume reveals what people are actively looking to buy - not just research. Historical demand curves and growth signals, queryable by your AI.

get_trends

Chart 5 years of Amazon product search volume for any keyword - see whether consumer purchase intent is growing steadily, seasonal, or in decline.

get_trends(keyword='air fryer', source='amazon', data_mode='weekly')

get_growth

Compare Amazon purchase intent growth against Google Search and TikTok - if Amazon is growing while TikTok leads, the trend is converting from social buzz to active buying.

get_growth(keyword='air fryer', source='amazon, google search, tiktok', percent_growth=['1M', '3M', '6M'])

get_ranked_trends

Get a ranked list of the fastest-growing Amazon product search categories this quarter - ideal for finding white-space product opportunities before they become crowded.

get_ranked_trends(source='amazon', sort='qoq_pct_change', limit=30)

get_top_trends

See Amazon's best-selling and top-rated products right now - no keyword needed. Use this to spot consumer demand shifts and product category breakouts in real time.

get_top_trends(type='Amazon Best Sellers Top Rated', limit=25)

Common questions

Amazon product search volume trends - normalized interest over time reflecting consumer purchase intent. This is distinct from Google Search data because Amazon queries represent active buying intent rather than general information seeking.
Yes. Compare product keyword demand on Amazon vs. Google to understand whether consumer intent is primarily informational or transactional. Rising Amazon search is a strong buying signal.
Yes. Use a category keyword like 'bluetooth headphones' or 'protein powder' and the signal aggregates demand across that category on Amazon.
All values are normalized to a 0-100 scale for consistent comparison. An absolute volume estimate is also returned alongside the normalized signal.