From data to decision
The French real estate market generates millions of public data points every year. Most investors only leverage a fraction of this information. Property Score automates the cross-analysis of this data to surface opportunities the market hasn't yet spotted.
1
Data
Automatic retrieval from data.gouv.fr: Cadastre, DPE, DVF, SIRENE and OpenStreetMap.
2
Scoring
Weighted multi-criteria algorithm that computes a score from 0 to 100 for each transaction.
3
Opportunities
Identification of undervalued properties with a clear verdict (OPPORTUNITY, ATTENTION, NEUTRAL, PASSED).
4
Decision
Dashboard, interactive map, filters, exports and email alerts to take action.
Five data sources, one analysis
📊
Price undervaluation
Compares each transaction to its municipality's median price to detect properties sold below market.
⚡
Energy potential
Analyzes the DPE to identify properties with strong renovation potential — bonus if the property is better than the neighborhood average.
📍
Geographic proximity
6 OpenStreetMap layers: transport, shops, schools, healthcare, culture and green spaces. Weighted by POI type.
🏪
Local ecosystem
Business density and diversity (SIRENE): a vibrant neighborhood = better resale potential.
🗺️
Interactive dashboard
Opportunity map, property rankings, score radar by component, municipality comparison.
🔌
Documented REST API
FastAPI endpoints with filters (municipality, verdict, min score), automatic Swagger documentation.
How it works
- The pipeline automatically retrieves DVF, DPE, cadastral, SIRENE and OSM data for targeted municipalities.
- The scoring algorithm calculates a score from 0 to 100 per transaction across 5 weighted dimensions.
- You explore the results via the dashboard (interactive map, filters, rankings) — free of charge.
- The full report (detail of each dimension, sourced data, CSV export, email alerts) is €49 incl. VAT.
Open source code (MIT license), data from data.gouv.fr, cadastre.data.gouv.fr and OpenStreetMap.