HR Automation System: EURES Job Scraper for EU Market | Python + FastAPI
Intelligent EURES job scraping system with automatic filtering and JobPortal integration. Processing 20k+ EU market listings daily, ML-based content analysis, and real-time synchronization. Boost recruitment efficiency by 400%.
Challenges
- Scalable processing of 20k+ EU market listings daily
- ML-based analysis and categorization of multilingual offers
- Real-time HR platform integration
- Multi-source data pipeline optimization
- Cross-border compliance and GDPR
Implemented solutions
- Advanced ML engine for multilingual content processing
- Custom NLP pipeline for contact data extraction
- Distributed processing with high availability
- Real-time sync with JobPortal API
- GDPR-compliant data processing
- Automated validation system
HR Automation System: EURES Job Scraper for EU Market | Python + FastAPI
System Overview
Advanced HR automation system processing 20,000+ job listings daily from the European EURES portal. Uses machine learning for intelligent multilingual content analysis, increasing recruitment efficiency by 400%.
System Architecture
1. EU Job Scraping Engine
-
Intelligent Crawler
- Multi-language support
- Smart rate limiting
- Proxy rotation
- Error resilience
-
Performance Optimization
- Distributed scraping
- Load balancing
- Resource management
- Caching strategy
2. Content Analysis
-
ML Processing Pipeline
- Contact detection
- Language recognition
- Relevance scoring
- Data extraction
-
Validation Engine
- Quality assurance
- GDPR compliance
- Data normalization
- Format validation
3. Integration Layer
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JobPortal Connect
- Real-time updates
- Bi-directional sync
- Error handling
- Data mapping
-
API System
- REST endpoints
- Batch operations
- Rate limiting
- Authentication
4. Management Console
-
Analytics Dashboard
- Performance metrics
- Market insights
- System monitoring
- Trend analysis
-
Admin Interface
- Configuration tools
- User management
- Process control
- Custom filters
Performance Metrics
- 400% recruitment efficiency increase
- 20k+ processed listings daily
- 99.9% data extraction accuracy
- 100% GDPR compliance
Technology Stack
Core Components
- Python engine
- FastAPI backend
- PostgreSQL database
- Celery workers
Processing Tools
- Selenium automation
- BeautifulSoup parser
- Redis cache
- Docker containers
Conclusions and Results
The system demonstrates the effectiveness of automation in European recruitment processes, providing significant acceleration while maintaining regulatory compliance and high data quality.