TikTok hashtag volume data for AI agents

Structured TikTok hashtag data your AI can analyze, rank, and act on. Track which hashtags are growing, which are peaking, and which are fading - with normalized volume and growth rates per period.

get_trends

Export the raw normalized TikTok hashtag time series for any keyword - each data point includes date, normalized volume (0-100), and absolute estimate for custom viral trend analysis.

get_trends(keyword='cleanbeauty', source='tiktok', data_mode='weekly')

get_growth

Calculate TikTok hashtag growth over 1 month and 3 months - rapidly accelerating short-term growth with moderate long-term growth signals an active viral cycle worth acting on now.

get_growth(keyword='cleanbeauty', source='tiktok', percent_growth=['1M', '3M'])

get_ranked_trends

Get a ranked table of TikTok hashtags by current volume or weekly growth - hand this to a product or content team as a data-backed brief on what categories are exploding.

get_ranked_trends(source='tiktok', sort='latest_value', limit=50)

get_top_trends

Pull TikTok's live trending hashtags in real time - no keyword needed. Use this to find what is breaking on the platform today before your competitors notice.

get_top_trends(type='TikTok Trending Hashtags', limit=25)

Common questions

JSON with normalized interest (0-100), absolute volume estimate, growth percentage over the selected period, and a weekly time series array with dates and values.
Yes. A common workflow: give your AI a list of product categories as hashtags, have it call get_growth for each, and return a ranked table of which are growing fastest on TikTok.
Hashtag volume data reflects total platform-level demand, not individual creator performance. It is a macro signal - useful for identifying category momentum rather than evaluating specific accounts.