A client in the real estate sector needed to periodically retrieve diverse data from Dutch municipal websites regarding property status.
The objective was to standardize this heterogeneous information into a high-quality dataset, enabling accurate property valuations for market transactions and strategic decision-making.

We developed an integrated solution featuring:

• Scraping Agents: Automated tools to extract data from various Dutch municipal open-data portals, ensuring continuous updates
• Data Normalization: Processing and standardizing collected data into a uniform, analyzable format
• Property Valuation Algorithms: Support in developing advanced models for property price estimation, leveraging normalized data and market-specific variables
• Seamless Process Integration: Direct system integration to export real-time property valuations and enhance strategic decision-making
  
  

• Continuous Updates: Real-time access to official data ensures property valuations remain accurate and up to date
• Precise Valuations: Standardized data and advanced algorithms improve appraisal accuracy, enhancing market competitiveness
• Operational Efficiency: Automation reduces manual workload and minimizes errors in data collection and analysis
• Strategic Decision-Making: Reliable data and predictive analytics support more informed, data-driven real estate transactions

This case study demonstrates how integrating scraping technologies with valuation algorithms can revolutionize real estate decision-making, ensuring precision and continuous updates for optimized strategies.