About this skill

The problem it addresses

In short-video operations, topic selection, competitor tracking, and sentiment judgment often stall because data is scattered and hard to retrieve: manually browsing Douyin does not expose the full post list, comment direction is hard to quantify, and trending changes require repeated manual checks. This skill targets those workflows by collecting public Douyin videos, author posts, comments, and trending-list data, then exporting JSON logs for downstream analysis such as viral-pattern review, competitor content comparison, and hotspot tracking.

How it works and where it fits

After configuring GUAIKEI_API_TOKEN, the skill uses Douyin-related data capabilities to search keywords, sort by likes or latest time, retrieve public posts from an author, fetch video comments, and read the real-time hot list. It does not require logging into a Douyin account and keeps public data as the boundary. It runs with Node.js and stores logs in the skill's logs folder by default, making it easier to compare results programmatically or generate marketing reports. The material mentions up to about 10,000 records per run, with multi-dimensional filtering and batch operations. Parameters can be inspected via JSON Schema draft-07 files in the assets directory, helping scripts or models understand input and output structures. Note that it does not access private or hidden content, and data is intended for personal or team-internal use only, not for non-compliant redistribution. If results are empty, adjust keywords or the time range.

Screenshots

Use Cases

When planning short-video topics, search Douyin videos by keyword and sort by likes to identify high-performing patterns.
When monitoring competitors, batch-fetch an author's public posts to review publish timing, likes, and content direction.
When analyzing comments, retrieve comment details for a selected Douyin video to identify positive or negative user feedback.
When chasing trends, read the real-time Douyin hot list to choose relevant topics and export structured logs.

Best For

Content operations staff who need to find viral topic patterns for short-video accounts weekly
Competitor analysts who need to compare public posts and copy strategies of rival Douyin authors
Sentiment analysts who need to extract Douyin comment feedback direction for selected videos
Data engineers who need to export hot-list and comment data as JSON for reports