Real-Time Job Market Intelligence Dashboard
Global job aggregation platform scraping Indeed, LinkedIn, and 20+ job boards in real-time. Features AI-powered categorization, multi-country support, and advanced filtering.
June 1, 2024 - Present
2 min read
Technologies Used
Python React FastAPI PostgreSQL Scrapy Scikit-Learn Docker Redis
Overview
Creator of an open-source job market intelligence platform that aggregates job listings from Indeed, LinkedIn, and 20+ global job boards. The system provides real-time insights into job market trends with AI-powered categorization and analysis.
The Challenge
Build a comprehensive job aggregation system that:
- Scrapes multiple job boards across different countries
- Categorizes jobs using machine learning
- Provides real-time updates and alerts
- Handles rate limiting and anti-bot measures
- Scales to process 100K+ jobs daily
Technical Implementation
Scraping Infrastructure
- Scrapy Framework: Distributed spider architecture
- Playwright: JavaScript-rendered content extraction
- Proxy Rotation: Residential and datacenter proxy management
- Rate Limiting: Adaptive throttling per source
AI/ML Pipeline
- Scikit-Learn: Job categorization models
- Natural Language Processing: Title and description analysis
- Skill Extraction: Automatic skill identification
- Salary Prediction: Compensation estimation models
Backend Architecture
- FastAPI: High-performance async API
- PostgreSQL: Full-text search with pg_trgm
- Redis: Job queue and caching layer
- Celery: Distributed task processing
Frontend Dashboard
- React: Interactive data visualization
- Real-time Updates: WebSocket connections
- Advanced Filtering: Multi-faceted search
- Export Features: CSV and API access
Features
- Global job aggregation from 20+ sources
- AI-powered job categorization
- Multi-country and multi-language support
- Real-time market trend analysis
- Skill demand tracking
- Salary insights by role and location
Status
Active development, designed for 100K+ jobs/day processing capacity. Open source project available on GitHub.
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