Douyin Trend Insights

Problem

When researching short-video topics, monitoring competitor accounts, analyzing public sentiment, or tracking trending topics, teams often need to inspect public Douyin videos, author posts, comments, and hot lists in a structured way. Manual browsing is slow and makes it hard to compare data or reuse it later. This skill packages public Douyin data collection into command-line workflows and outputs structured JSON.

How It Works

It runs with Node.js and does not require a deployed service. Configure GUAIKEI_API_TOKEN first, then use the skill for different tasks:
- Keyword search: find videos by keyword and sort by likes or recency, which helps identify viral topics and high-performing patterns.
- Author post collection: batch-fetch public posts from a target author for competitor content analysis.
- Comment analysis: retrieve comments on a video to understand audience sentiment and feedback.
- Hot list tracking: pull real-time hot lists for trend discovery.

Results are automatically archived under logs, with filenames organized by task type, timestamp, keyword, sec_uid, or aweme_id, making it easier to clean, aggregate, or generate reports with scripts.

Limits And Notes

The skill only accesses public Douyin data and does not retrieve private or hidden content. A valid GUAIKEI_API_TOKEN is required; if permission errors appear, check the environment variable first. Output data is intended for personal or internal team analysis and should not be redistributed in violation of platform rules. It supports Windows, macOS, and Linux, with Node.js required.