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Douyin Daily Hot Works Ranking icon

Douyin Daily Hot Works Ranking

Content Creation Updated 2026.08.30

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About this skill

Problem it solves

Douyin hot content is scattered across many videos, and manually identifying yesterday's top performers can miss niche categories and engagement patterns. This skill is aimed at content ideation, competitor observation, and trend review, turning “which works had the most likes yesterday” into a queryable ranking.

How it works and limits

The skill calls the redfox.hk like-ranking API using X-API-KEY authentication. It sends a fixed source parameter and can filter by type, startTime, and endTime. Data refreshes daily at 06:00 for the previous day, with up to 30 days of history. If a user asks for “today” or a future date, it responds that the latest data is yesterday's and returns the previous-day ranking. By default, it queries all categories and shows TOP20; when explicitly requested, it returns TOP50. Results are rendered as a Markdown table, with titles rendered as clickable links using video_title and workUrl, alongside author, follower count, collects, comments, shares, likes, and publish time. It is useful for daily trend monitoring, category selection, and historical comparison, but not for real-time ranking, future prediction, or non-like metrics.

Use Cases

  • Content operations staff query yesterday's beauty TOP20 before a Monday topic meeting to find follow-up angles.
  • Short-video editors query a dated sports ranking in a review meeting to extract high-like titles and engagement data.
  • Brand market specialists monitor competitor categories by querying yesterday's baby TOP50 and filtering top accounts.
  • Content editors subscribe to daily tech push at 06:00 and compile yesterday's TOP20 into a morning digest.

Best For

  • Content operations staff tracking yesterday's Douyin top works, needing TOP20/TOP50 by category.
  • Short-video editors selecting topics, needing 30-day lookback for dated high-like works and author followers.
  • Market specialists monitoring competitor content, needing category rankings with top accounts and engagement data.
  • Content editors needing daily hot-list digests, wanting category and time subscriptions with scheduled push.