About this skill

Problem

Manually comparing Douyin videos by keyword is noisy, especially for broad terms like fashion or food. This skill turns keyword search, date filtering, and engagement metrics into a repeatable query workflow for content research, competitive tracking, or data collection.

How It Works

Keyword handling: prioritizes specific niche terms and removes trigger phrases such as popular works or viral hits; an empty keyword searches site-wide trending content.
Broad-term expansion: generates ten trend, audience, scene, and intent terms, then waits for user confirmation before execution.
Date filtering: supports absolute dates, relative ranges, and explicit ranges; empty startDate and endDate mean no time limit.
Structured output: returns articles, total, pageNum, and pageSize; each item includes title, author, like_count, comment_count, share_count, collect_count, work_url, and publish_time.
Presentation: shows the top 20 items sorted by likes, with the total taken from the array length and titles rendered as clickable links.

Boundaries

It requires a configured REDFOX_API_KEY. Results are more interpretable when keywords are specific. Broad keywords require confirmed expansion. It is suited to batch queries and trend observation, not a replacement for manual content-quality judgment.

Screenshots

Use Cases

Content planners check recent heat for a niche topic by querying Douyin viral works with keywords and date ranges.
Operations teams review campaign periods by filtering works by date and comparing likes, comments, shares, and saves.
Market researchers handle broad categories by confirming expanded niche terms before searching related Douyin content samples.
Editors collect clickable work links and publish times to build a shortlist of candidate content.

Best For

Content planners: assess Douyin topic heat by niche keywords and date ranges
E-commerce operations: review Douyin engagement performance for a campaign window
Market researchers: break broad category terms into niche terms and collect content samples
Data editors: organize titles, links, publish times, and engagement metrics