热点话题追踪

获取微博、知乎、百度、抖音、今日头条、B站等主流中文平台的实时热搜榜单和热门话题。Use when users want to know trending topics, hot searches, or popular content on Chinese social media platforms.

Hot Topics & Trending Content Skill

This skill helps AI agents fetch trending topics and hot searches from major Chinese social media and content platforms.

When to Use This Skill

Use this skill when users:

• Want to know what's trending on social media
• Ask about hot topics or viral content
• Need to understand current popular discussions
• Want to track trending topics across platforms
• Research social media trends

Supported Platforms

1. Weibo (微博) - Chinese Twitter equivalent
2. Zhihu (知乎) - Chinese Quora equivalent
3. Baidu (百度) - China's largest search engine
4. Douyin (抖音) - TikTok China
5. Toutiao (今日头条) - ByteDance news aggregator
6. Bilibili (B站) - Chinese YouTube equivalent

API Endpoints

Platform	Endpoint	Description
Weibo	/v2/weibo	Weibo hot search topics
Zhihu	/v2/zhihu	Zhihu trending questions
Baidu	/v2/baidu/hot	Baidu hot searches
Douyin	/v2/douyin	Douyin trending videos
Toutiao	/v2/toutiao	Toutiao hot news
Bilibili	/v2/bili	Bilibili trending videos

All endpoints use GET method and base URL: https://60s.viki.moe/v2

How to Use

Get Weibo Hot Searches

python

import requests

def get_weibo_hot():
    response = requests.get('https://60s.viki.moe/v2/weibo')
    return response.json()

hot_topics = get_weibo_hot()
print("🔥 微博热搜：")
for i, topic in enumerate(hot_topics['data'][:10], 1):
    print(f"{i}. {topic['title']} - 热度: {topic['热度']}")

Get Zhihu Hot Topics

python

def get_zhihu_hot():
    response = requests.get('https://60s.viki.moe/v2/zhihu')
    return response.json()

topics = get_zhihu_hot()
print("💡 知乎热榜：")
for topic in topics['data'][:10]:
    print(f"· {topic['title']}")

Get Multiple Platform Trends

python

def get_all_hot_topics():
    platforms = {
        'weibo': 'https://60s.viki.moe/v2/weibo',
        'zhihu': 'https://60s.viki.moe/v2/zhihu',
        'baidu': 'https://60s.viki.moe/v2/baidu/hot',
        'douyin': 'https://60s.viki.moe/v2/douyin',
        'bili': 'https://60s.viki.moe/v2/bili'
    }
    
    results = {}
    for name, url in platforms.items():
        try:
            response = requests.get(url)
            results[name] = response.json()
        except:
            results[name] = None
    
    return results

# Usage
all_topics = get_all_hot_topics()

Simple bash examples

bash

# Weibo hot search
curl "https://60s.viki.moe/v2/weibo"

# Zhihu trending
curl "https://60s.viki.moe/v2/zhihu"

# Baidu hot search
curl "https://60s.viki.moe/v2/baidu/hot"

# Douyin trending
curl "https://60s.viki.moe/v2/douyin"

# Bilibili trending
curl "https://60s.viki.moe/v2/bili"

Response Format

Responses typically include:

json

{
  "data": [
    {
      "title": "话题标题",
      "url": "https://...",
      "热度": "1234567",
      "rank": 1
    },
    ...
  ],
  "update_time": "2024-01-15 14:00:00"
}

Example Interactions

User: "现在微博上什么最火？"

python

hot = get_weibo_hot()
top_5 = hot['data'][:5]

response = "🔥 微博热搜 TOP 5：\n\n"
for i, topic in enumerate(top_5, 1):
    response += f"{i}. {topic['title']}\n"
    response += f"   热度：{topic.get('热度', 'N/A')}\n\n"

User: "知乎上大家在讨论什么？"

python

zhihu = get_zhihu_hot()
response = "💡 知乎当前热门话题：\n\n"
for topic in zhihu['data'][:8]:
    response += f"· {topic['title']}\n"

User: "对比各平台热点"

python

def compare_platform_trends():
    all_topics = get_all_hot_topics()
    
    summary = "📊 各平台热点概览\n\n"
    
    platforms = {
        'weibo': '微博',
        'zhihu': '知乎',
        'baidu': '百度',
        'douyin': '抖音',
        'bili': 'B站'
    }
    
    for key, name in platforms.items():
        if all_topics.get(key):
            top_topic = all_topics[key]['data'][0]
            summary += f"{name}：{top_topic['title']}\n"
    
    return summary

Best Practices

1. Rate Limiting: Don't call APIs too frequently, data updates every few minutes
2. Error Handling: Always handle network errors and invalid responses
3. Caching: Cache results for 5-10 minutes to reduce API calls
4. Top N: Usually showing top 5-10 items is sufficient
5. Context: Provide platform context when showing trending topics

Common Use Cases

1. Daily Trending Summary

python

def get_daily_trending_summary():
    weibo = get_weibo_hot()
    zhihu = get_zhihu_hot()
    
    summary = "📱 今日热点速览\n\n"
    summary += "【微博热搜】\n"
    summary += "\n".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(weibo['data'][:3], 1)])
    summary += "\n\n【知乎热榜】\n"
    summary += "\n".join([f"{i}. {t['title']}" 
                          for i, t in enumerate(zhihu['data'][:3], 1)])
    
    return summary

2. Find Common Topics Across Platforms

python

def find_common_topics():
    all_topics = get_all_hot_topics()
    
    # Extract titles from all platforms
    all_titles = []
    for platform_data in all_topics.values():
        if platform_data and 'data' in platform_data:
            all_titles.extend([t['title'] for t in platform_data['data']])
    
    # Simple keyword matching (can be improved)
    from collections import Counter
    keywords = []
    for title in all_titles:
        keywords.extend(title.split())
    
    common = Counter(keywords).most_common(10)
    return f"🔍 热门关键词：{', '.join([k for k, _ in common])}"

3. Platform-specific Trending Alert

python

def check_trending_topic(keyword):
    platforms = ['weibo', 'zhihu', 'baidu']
    found_in = []
    
    for platform in platforms:
        url = f'https://60s.viki.moe/v2/{platform}' if platform != 'baidu' else 'https://60s.viki.moe/v2/baidu/hot'
        data = requests.get(url).json()
        
        for topic in data['data']:
            if keyword.lower() in topic['title'].lower():
                found_in.append(platform)
                break
    
    if found_in:
        return f"✅ 话题 '{keyword}' 正在以下平台trending: {', '.join(found_in)}"
    return f"❌ 话题 '{keyword}' 未在主流平台trending"

4. Trending Content Recommendation

python

def recommend_content_by_interest(interest):
    """Recommend trending content based on user interest"""
    all_topics = get_all_hot_topics()
    
    recommendations = []
    for platform, data in all_topics.items():
        if data and 'data' in data:
            for topic in data['data']:
                if interest.lower() in topic['title'].lower():
                    recommendations.append({
                        'platform': platform,
                        'title': topic['title'],
                        'url': topic.get('url', '')
                    })
    
    return recommendations

Platform-Specific Notes

Weibo (微博)

• Updates frequently (every few minutes)
• Includes "热度" (heat score)
• Some topics may have tags like "热" or "新"

Zhihu (知乎)

• Focuses on questions and discussions
• Usually more in-depth topics
• Great for understanding what people are curious about

Baidu (百度)

• Reflects search trends
• Good indicator of mainstream interest
• Includes various categories

Douyin (抖音)

• Video-focused trending
• Entertainment and lifestyle content
• Young audience interests

Bilibili (B站)

• Video platform trends
• ACG (Anime, Comic, Games) culture
• Creative content focus

Troubleshooting

Issue: Empty or null data

• Solution: API might be updating, retry after a few seconds
• Check network connectivity

Issue: Old timestamps

• Solution: Data is cached, this is normal
• Most platforms update every 5-15 minutes

Issue: Missing platform

• Solution: Ensure correct endpoint URL
• Check API documentation for changes

Related Resources

• 60s API Documentation
• GitHub Repository