Weibo Hot#

Analyze Weibo trending topics with AI clustering, trend inflection detection, and content angle generation.

Workflow#

1. Fetch trending — call Weibo open trending API (or scrape public real-time 热搜榜). Return top 50 entries with title, heat index, and trend arrow (↑→↓).

2. Parse entries — extract per entry: rank, title, heat value (e.g. 热搜指数), trend direction, topic tag id, any attached media summary.

3. Cluster topics — use LLM + keyword cosine similarity to group 50 topics into thematic domains:

   • 社会 (Society), 娱乐 (Entertainment), 科技 (Tech), 体育 (Sports), 政策/时政 (Policy), 财经 (Finance), etc.

4. Detect inflection — compare current vs previous snapshot heat delta:

   • 🚀 Rapid riser — heat jump > 30% in one refresh cycle
   • 📉 Cooling — heat drop > 20%
   • 🔥 Sustained — top 10 for > 3 consecutive hours

5. Content angle — for each 🚀 topic, generate:

   • Brand relevance (which industries/verticals connect)
   • Content angle suggestion (top 3 creative POVs)
   • Time window (estimated peak duration 2-6h)

6. Filter by subscription — if user provides subscribe domains (e.g. tech, industry), return only matching clusters.

7. Aggregate — compute per-topic duration, peak heat, cross-topic relationship map (top 3 related topics).

8. Report — output structured daily report (Markdown/JSON):

   • Overall trend landscape
   • Clustered topic map
   • 🚀 rising topics with content suggestions
   • Heat curve for top 10 topics

Sample Prompt#

text

weibo-hot analyze --date 2026-06-13 --subscribe tech,industry
weibo-hot analyze --date 2026-06-13 --format json
weibo-hot monitor --topic weibo --interval 30m --duration 6h
weibo-hot angles --topic "小米汽车发布会" --industry auto