Collect large-scale TikTok datasets by keyword, hashtag, or creator — for trend analysis, cross-region comparison, and content research.
Market researchers need structured, large-scale TikTok data to identify emerging trends before they go mainstream. But TikTok has no public API for research — and manual data collection does not scale beyond a few videos.
Without reliable data, trend reports are based on anecdotes. You need consistent, structured data across regions and time periods to draw meaningful conclusions. But traditional web scraping requires coding, proxies, and constant maintenance.
Track any TikTok hashtag daily. See what is trending, who is posting, and what music drives viral moments.
Search by keyword, hashtag, or creator. Get 19 structured data fields per video — consistent format for analysis.
Download as Excel with embedded thumbnails or CSV/JSON for data pipelines. Ready for your analysis tools.
A market analyst tracks #tiktokmademebuyit daily to identify emerging product trends and viral items before competitors catch on. Instead of manually watching hundreds of videos, they export structured data with views, likes, shares, and music — then run their own analysis in Excel or Python. Trend detection that used to take days now takes minutes.
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