Douyin Daily Like Surge Ranking
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Please install @redfox-data/douyin-content-surge-pro following https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Tracking which Douyin posts show strong single-day growth in new likes is time-consuming when raw data is scattered. This skill turns the Redfox daily ranking into a queryable agent capability, returning clickable post links and single-day interaction snapshots.
How It Works
It queries https://redfox.hk/story/api/dy/search/hotContentRank for yesterday’s top 50 posts by new likes. The default view is TOP20, and the full 50 entries are returned only on explicit request. Users can filter by 28 category tracks and look back up to 30 days. Results are rendered as a Markdown table, with post titles linked via share_url, bold new-like counts, and additional fields such as new collects, comments, shares, and publish time.
Boundaries
The data is refreshed at 17:00 daily, so the latest available dataset is usually from yesterday. Future dates or dates beyond 30 days fall back to the nearest supported range. The ranking is best for detecting single-day engagement spikes, not real-time heat, long-term trend analysis, or exhaustive post coverage.
Use Cases
- When content ops reviews yesterday’s data, query the beauty track for TOP20 by new likes to spot viral posts.
- When analysts trace two-week trends, query a track’s surge ranking for specific dates and compare TOP20 lists.
- When selection staff assesses heat, click post links and compare new likes, saves, and comments to judge reach.
- When a subscriber checks after 17:00, review yesterday’s all-category ranking as meeting input.
Best For
- Content operators who track Douyin hot topics daily
- Market analysts who review category ranking trends
- Product or selection leads who infer content directions from viral posts
- Editorial leads who need fixed daily data for topic meetings
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