Douyin Hot Trend Data Tracker

Problem

Douyin trend tracking often starts with rankings scattered across pages, exports, and time windows. Without timestamps, source links, and change evidence, it is hard to tell a real rise from one-off noise. This skill turns public Douyin rankings and authorized data into an auditable trend report for hot-topic monitoring, niche insights, and content planning.

How It Works

• Confirms date, timezone, niche, keywords, board type, lookback window, and output cadence; uses the current date when missing and records collection time.
• Chooses data sources by priority: configured Douyin data connector or official API, user’s logged-in Douyin page, or user-provided CSV, XLSX, JSON, and screenshots.
• Collects required fields and preserves raw rank, heat, title, author, publish time, and source link; dedupes by board type + date + item/topic ID.
• Compares current and previous values to surface new entries, rank changes, consecutive appearances, and abnormal jumps; does not fabricate trends when historical values are absent.
• The final report includes collection overview, hot list, change signals, niche insights, action list, and evidence boundary.

Boundaries

• Does not bypass CAPTCHA, login walls, paywalls, rate limits, or anti-scraping; collects only task-required fields.
• If live data cannot be accessed, states “real-time collection incomplete” and analyzes existing materials only.
• Does not treat heat as views or correlation as causation; avoids exposing cookies, tokens, account identifiers, or private business data.
• Field mapping, dedupe keys, and trend calculation rules are in references/field-contract.md.