Douyin Data Insight
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About this skill
Problem
Short-video research often stalls at the data collection step: you want to compare videos under a keyword, inspect a benchmark creator's public posts, or pull comments and trends into a comparable dataset. @user_fb71c45d/douyin-data-insight addresses this by turning public Douyin videos, creator posts, comments, and trending lists into structured JSON logs for topic selection, competitor analysis, sentiment review, and trend tracking.
How it works
The skill organizes four main collection paths: keyword-based video search with sorting by likes or recency, public creator post collection, comment retrieval for a video, and real-time trending list retrieval. It supports batch operations and can collect up to 10,000 public data records in one run. It expects GUAIKEI_API_TOKEN to be configured and runs in a Node.js environment. Results are written automatically to the skill's logs folder, usually with timestamps, keywords, or object IDs, making archiving and downstream processing easier.
The value is in producing a raw analytical base: start with keyword search to shortlist content, use high-like sorting to identify videos worth decomposing, then export posts, comments, and trending data as JSON for side-by-side comparison.
Boundaries
It only covers publicly visible data, not private, hidden, or unauthorized content. Outputs are intended for internal personal or team analysis, not redistribution. Search results depend on keyword, sorting, and time range, so empty results may require adjusting the query or time window.
Use Cases
- Short-video editors search high-like videos by keyword each week and shortlist topics for upcoming production.
- Operators batch-collect public posts from benchmark accounts and organize a comparison sheet for cadence and copy style.
- Content analysts retrieve comments from a high-performing video to see whether users focus on price, results, or delivery.
- Marketing staff read Douyin trends early in a topic cycle and decide which topics can be supported immediately.
Best For
- Short-video editors who need to find high-like videos quickly and compare content performance under keywords.
- Operators doing competitor analysis who need to batch-collect public posts and posting cadence from benchmark accounts.
- Product or content analysts who need to export comment text and classify user feedback or sentiment.
- Marketing staff who need to read real-time trends and pick actionable campaign directions.
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