Douyin High-Value KOL Search

The problem

• When sourcing Douyin creators for collaborations, commerce testing, or benchmarking, raw account lists often lack commercial decision context.
• douyin-kol-search turns “how do I find a comparable account?” into a concrete query: pass keyword, contentTag, and page, then receive candidates, cooperation leads, and competitor signals.

How it works

• It sends JSON parameters from the exported Python runner to the AI Skills API.
• keyword is required for track or content direction; contentTag is optional and covers categories such as beauty, food, and tech; page controls pagination.
• The response includes creator positioning, follower scale, and content tags, plus signals for reach, conversion potential, and collaboration prioritization, supporting follow-up review, delivery, and competitive comparison.

Boundaries

• It is best for same-track candidate discovery, benchmark references, and first-pass commercial filtering, not for replacing contract terms, pricing, or ad-performance validation.
• If filters are too narrow and results are thin, broaden keywords or follower thresholds before comparing.
• It accepts JSON parameters directly and does not parse shared links.