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

• Weibo - Chinese Twitter equivalent
• Zhihu - Chinese Quora equivalent
• Baidu - China's largest search engine
• Douyin - TikTok China
• Toutiao - ByteDance news aggregator
• Bilibili - Chinese YouTube equivalent

API Endpoints

How to Use

Get Weibo Hot Searches

import requests
def get_weibo_hot():
    response = requests.get('https://60s.viki.moe/v2/weibo')
    return response.json()
hot_topics = get_weibo_hot()
print("Weibo Hot Search:")
for i, topic in enumerate(hot_topics['data'][:10], 1):
    print(f"{i}. {topic['title']} - Heat: {topic.get('hot', 'N/A')}")

Get Zhihu Hot Topics

def get_zhihu_hot():
    response = requests.get('https://60s.viki.moe/v2/zhihu')
    return response.json()
topics = get_zhihu_hot()
print("Zhihu Trending:")
for topic in topics['data'][:10]:
    print(f"- {topic['title']}")

Get Multiple Platform Trends

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

# 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:

{
  "data": [
    {
      "title": "Topic title",
      "url": "https://...",
      "hot": "1234567",
      "rank": 1
    },
    ...
  ],
  "update_time": "2024-01-15 14:00:00"
}

Example Interactions

User: "What's hot on Weibo right now?"

hot = get_weibo_hot()
top_5 = hot['data'][:5]
response = "Weibo Hot Search TOP 5:\n\n"
for i, topic in enumerate(top_5, 1):
    response += f"{i}. {topic['title']}\n"
    response += f"   Heat: {topic.get('hot', 'N/A')}\n\n"

User: "What are people discussing on Zhihu?"

zhihu = get_zhihu_hot()
response = "Zhihu Current Hot Topics:\n\n"
for topic in zhihu['data'][:8]:
    response += f"- {topic['title']}\n"

User: "Compare trends across platforms"

def compare_platform_trends():
    all_topics = get_all_hot_topics()
    summary = "Platform Trends Overview\n\n"
    platforms = {
        'weibo': 'Weibo',
        'zhihu': 'Zhihu',
        'baidu': 'Baidu',
        'douyin': 'Douyin',
        'bili': 'Bilibili'
    }
    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

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

Common Use Cases

1. Daily Trending Summary

def get_daily_trending_summary():
    weibo = get_weibo_hot()
    zhihu = get_zhihu_hot()
    summary = "Today's Hot Topics\n\n"
    summary += "[Weibo Hot Search]\n"
    summary += "\n".join([f"{i}. {t['title']}"
                          for i, t in enumerate(weibo['data'][:3], 1)])
    summary += "\n\n[Zhihu Trending]\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

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"Hot Keywords: {', '.join([k for k, _ in common])}"

3. Platform-specific Trending Alert

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"Topic '{keyword}' is trending on: {', '.join(found_in)}"
    return f"Topic '{keyword}' is not trending on major platforms"

4. Trending Content Recommendation

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

• Updates frequently (every few minutes)
• Includes heat score
• Some topics may have tags like "hot" or "new"

Zhihu

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

Baidu

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

Douyin

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

Bilibili

• 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

Changelog

Related Resources

• 60s API Documentation
• GitHub Repository