Automated Online Pharmacy Price Monitoring System | Python Scraper
January 2025
Real-time medication price tracking system for Gemini.pl. Automatic monitoring of 100k+ products, price trend analysis, and change alerting. 25% purchase cost optimization through historical analysis.
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Challenges
- Scalable monitoring of 100k+ pharmaceutical products
- Real-time tracking of medication prices and availability
- Advanced price trend analysis over time
- Scraping performance optimization for large datasets
- Managing rate-limits and session handling
Implemented solutions
- Intelligent scraping system with proxy rotation
- Advanced data processing pipeline
- Machine learning for price change prediction
- Price anomaly detection algorithms
- Multi-threaded data processing
- Critical change notification system
Automated Online Pharmacy Price Monitoring System | Python Scraper
System Overview
Advanced e-pharmacy price monitoring system, designed for Gemini.pl. Tracks over 100,000 products in real-time, enabling 25% purchase cost optimization through historical analysis.
System Architecture
1. Data Collection System
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Intelligent Scraper
- Session management
- Proxy rotation
- Rate limiting
- Error handling
-
Performance Optimization
- Multi-threading
- Connection pooling
- Caching system
- Request optimization
2. Data Processing
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Analytics Pipeline
- Data validation
- Price normalization
- Product categorization
- Anomaly detection
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Historical Analysis
- Price trends
- Seasonal changes
- Price prediction
- Promotion identification
3. Reporting System
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API Interface
- RESTful endpoints
- Data filtering
- Aggregation queries
- Batch processing
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Data Export
- Excel reports
- CSV dumps
- JSON API
- Custom formats
Performance Metrics
- 98% data accuracy
- 25% purchase savings
- 100k+ monitored products
- 5min update frequency
Technology Stack
Core Components
- Python 3.11+
- SQLite3 database
- FastAPI framework
- Crontab scheduler
Analytics Tools
- Pandas DataFrames
- NumPy arrays
- Scikit-learn models
- Custom analytics
Conclusions and Results
The system enables effective cost optimization in the pharmaceutical sector through automated price monitoring and analysis, providing significant savings and market trend insights.
Tags
Python Web Scraping
SQLite Database
FastAPI Backend
Automated Scheduling (Crontab)
Data Analytics Pipeline
Price Monitoring System
RESTful API
Excel Export Engine