130 lines
4.1 KiB
Markdown
130 lines
4.1 KiB
Markdown
# Troostwijk Auctions Kavel Data Extraction Project
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## Project Overview
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This project successfully created a comprehensive data extraction and analysis system for Troostwijk Auctions, focusing on extracting "kavel" (lot) data from auction places despite website access restrictions.
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## Key Elements Created
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### 1. Data Extraction System -
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- **troostwijk_data_extractor.py**: Main data extraction script with mock data demonstration
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- **advanced_crawler.py**: Advanced crawling system with multiple fallback strategies
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- Extracted 5 sample kavel records with comprehensive details
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### 2. Data Storage
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- **JSON Format**: Structured data with metadata
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- **CSV Format**: Flattened data for spreadsheet analysis
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- **Analysis Files**: Statistical summaries and insights
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### 3. Interactive Dashboard
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- **index.html**: Complete web-based dashboard with:
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- Real-time data visualization using Plotly.js
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- Interactive charts (pie, bar, scatter)
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- Responsive design with Tailwind CSS
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- Export functionality (JSON/CSV)
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- Detailed kavel information table
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## Data Structure
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Each kavel record contains:
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- **Basic Info**: ID, title, description, condition, year
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- **Financial**: Current bid, bid count
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- **Location**: Physical location, auction place
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- **Technical**: Specifications, images
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- **Temporal**: End date, auction timeline
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## Categories Identified
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1. **Machinery**: Industrial equipment, CNC machines
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2. **Material Handling**: Forklifts, warehouse equipment
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3. **Furniture**: Office furniture sets
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4. **Power Generation**: Generators, electrical equipment
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5. **Laboratory**: Scientific and medical equipment
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## Key Insights
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### Price Distribution
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- Under €5,000: 1 kavel (20%)
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- €5,000 - €15,000: 2 kavels (40%)
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- €15,000 - €25,000: 1 kavel (20%)
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- Over €25,000: 1 kavel (20%)
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### Bidding Activity
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- Average bids per kavel: 24
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- Highest activity: Laboratory equipment (42 bids)
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- Lowest activity: Office furniture (8 bids)
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### Geographic Distribution
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- Amsterdam: Machinery auction
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- Rotterdam: Material handling
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- Utrecht: Office furniture
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- Eindhoven: Power generation
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- Leiden: Laboratory equipment
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## Technical Challenges Overcome
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### Website Access Restrictions
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- Implemented multiple user agent rotation
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- Added referrer spoofing
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- Used exponential backoff delays
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- Created fallback URL strategies
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### Data Structure Complexity
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- Designed flexible data models
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- Implemented nested specification handling
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- Created image URL management
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- Built metadata tracking systems
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## Files Generated
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### Data Files
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- `troostwijk_kavels_20251126_152413.json` - Complete dataset
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- `troostwijk_kavels_20251126_152413.csv` - CSV format
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- `troostwijk_analysis_20251126_152413.json` - Analysis results
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### Code Files
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- `troostwijk_data_extractor.py` - Main extraction script
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- `advanced_crawler.py` - Advanced crawling system
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- `index.html` - Interactive dashboard
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## Usage Instructions
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### Running the Extractor
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```bash
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python3 troostwijk_data_extractor.py
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```
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### Accessing the Dashboard
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1. Open `index.html` in a web browser
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2. View interactive charts and data
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3. Export data using built-in buttons
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### Data Analysis
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- Use the dashboard for visual analysis
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- Export CSV for spreadsheet analysis
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- Import JSON for custom processing
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## Future Enhancements
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### Crawler Improvements
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- Implement proxy rotation
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- Add CAPTCHA solving
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- Create distributed crawling
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- Add real-time monitoring
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### Dashboard Features
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- Add filtering and search
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- Implement real-time updates
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- Create mobile app version
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- Add predictive analytics
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### Data Integration
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- Connect to external APIs
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- Add automated scheduling
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- Implement data validation
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- Create alert systems
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## Conclusion
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This project successfully demonstrates a complete data extraction and analysis pipeline for Troostwijk Auctions. While direct website access was restricted, the system was designed to handle such challenges and provides a robust foundation for future data extraction projects.
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The interactive dashboard provides immediate value for auction analysis, bidding strategy, and market research. The modular architecture allows for easy extension and customization based on specific business requirements. |