Pricing

Rating

Developer

Actor stats

Categories

Share

GitHub Trends Analyzer - Track Trending Repos & Stars

Extract trending GitHub repositories, stars, language statistics, and developer insights. Real-time GitHub trending data with JSON export for monitoring tech trends, tracking popular repositories, and analyzing programming language popularity.

🚀 Revolutionary Features

• 📊 Real-Time Trends: Extract trending repositories from GitHub
• 🔍 Advanced Filtering: Filter by language, stars, forks, and more
• 📈 Trending Analysis: Calculate trending scores and growth rates
• 🌐 No-API Protocol: Zero authentication with mirror fallbacks
• 📊 Language Statistics: Track programming language popularity
• 🏷️ Topic Analysis: Extract repository topics and tags
• ⚡ High Performance: Process multiple repositories efficiently
• 🔄 Mirror Reliability: Automatic fallback when GitHub is blocked

🎯 Use Cases

Developer Insights

• Monitor trending repositories in your technology stack
• Track competitor projects and their growth
• Discover emerging technologies and frameworks
• Analyze programming language trends

Business Intelligence

• Market research for technology adoption
• Competitive analysis of open source projects
• Talent scouting based on popular repositories
• Investment research in tech trends

Research & Analytics

• Study open source ecosystem evolution
• Analyze developer behavior patterns
• Track technology adoption rates
• Monitor repository health metrics

📋 Input Parameters

📊 Output Format Examples

Repository Data

{
"repository_id":"microsoft-vscode",
"name":"vscode",
"full_name":"microsoft/vscode",
"description":"Visual Studio Code",
"language":"TypeScript",
"stars":142000,
"forks":24700,
"watchers":142000,
"open_issues":8234,
"created_at":"2015-04-29T19:46:58Z",
"updated_at":"2024-01-15T10:30:00Z",
"pushed_at":"2024-01-15T09:45:00Z",
"size":35420,
"default_branch":"main",
"license":"MIT",
"topics":["vscode","editor","electron"],
"owner_login":"microsoft",
"owner_type":"Organization",
"is_private":false,
"is_fork":false,
"archived":false,
"trending_score":89450.0,
"growth_rate":2.3,
"extracted_at":"2024-01-15T11:00:00Z"
}

Statistics Summary

• Language Distribution: Programming language popularity
• Owner Types: User vs Organization breakdown
• License Types: Open source license analysis
• Trending Scores: Repository popularity metrics
• Topic Analysis: Common repository tags and topics

🔧 Technical Architecture

No-API Protocol Implementation

• Primary Source: GitHub trending page and search API
• Mirror Fallbacks: Jina AI proxies for reliability
• Zero Authentication: Public endpoints only
• Error Handling: Graceful degradation with fallbacks

Data Extraction Methods

1. HTML Scraping: Extract from GitHub trending page
2. API Integration: GitHub Search API for comprehensive data
3. Hybrid Approach: Combine multiple sources for accuracy
4. Real-Time Processing: Up-to-date repository information

🚀 Getting Started

# Clone the actor
apify pull github-trends-analyzer-track-trending-repos-stars
# Install dependencies
pip install-r requirements.txt
# Test locally
python test_scraper.py
# Deploy to Apify
apify push

📈 Use Case Examples

Basic Trending Analysis

# Get daily trending repositories
results =await Actor.run({
"timePeriod":"daily",
"limit":25,
"includeStats": true
})

Language-Specific Trends

# Get trending Python repositories
results =await Actor.run({
"timePeriod":"weekly",
"language":"Python",
"minStars":1000,
"sortBy":"stars"
})

Comprehensive Analysis

# Full analysis with all features
results =await Actor.run({
"timePeriod":"monthly",
"limit":100,
"includeForks": false,
"includeArchived": false,
"includeTopics": true,
"includeStats": true,
"sortBy":"trending"
})

📊 Performance Metrics

• Processing Speed: 1-3 seconds per 50 repositories
• Data Freshness: Real-time from GitHub
• Success Rate: 95%+ with mirror fallbacks
• Language Support: All GitHub languages
• Repository Coverage: Public repositories only

🌐 Integration Examples

Trending Dashboard

# Power a trending repositories dashboard
trending_data =await Actor.run({
"timePeriod":"daily",
"limit":20,
"includeStats": true,
"includeTopics": true
})
# Display in dashboard
for repo in trending_data:
print(f"{repo['full_name']}: {repo['stars']} ⭐")

Market Research

# Analyze technology trends
tech_analysis =await Actor.run({
"timePeriod":"weekly",
"language":"JavaScript",
"limit":50,
"sortBy":"trending"
})
# Generate insights
languages ={}
for repo in tech_analysis:
 lang = repo['language']
 languages[lang]= languages.get(lang,0)+1

🛡️ Privacy & Compliance

• Public Data Only: No private repository access
• Rate Limiting: Respectful API usage
• Data Processing: In-memory processing only
• No Storage: No persistent data retention

🌐 Actor URL

https://console.apify.com/actors/github-trends-analyzer-track-trending-repos-stars

Built with No-API Protocol for maximum reliability and zero authentication requirements. The ultimate tool for tracking GitHub trends and analyzing repository popularity in real-time.