Live Pipeline Data
2026-Q1
Sources: Statistics Canada · Bank of Canada · Refreshed monthly via GitHub Actions · View full dashboard →
Built with Statistics Canada → GitHub Actions → PySpark → Parquet → Streamlit
Industry Challenges
The data challenges real estate organizations face
Real estate decisions move on imperfect data — fragmented sources, lagging indicators, and market sentiment that is hard to quantify.
Fragmented market data
CMHC, CREA MLS, Statistics Canada, and Airbnb all use different formats, geographies, and update cadences.
Lagging indicators
By the time MLS data is published and analyzed, market conditions have already shifted — investors need leading signals.
Short-term rental market opacity
STR occupancy, pricing, and neighbourhood saturation are critical inputs for investment decisions but hard to collect at scale.
Affordability and macro alignment
Mortgage rate changes, CPI, and income data must be combined with housing data to produce actionable affordability signals.
How We Help
How LanaCloud delivers results
We have already built a production Canadian real estate data pipeline — ingesting CMHC, CREA, Statistics Canada, and Inside Airbnb data into a gold-layer dataset ready for ML and dashboards.
Medallion data pipeline
Bronze → Silver → Gold PySpark pipeline ingesting CMHC, CREA, Statistics Canada, Bank of Canada, and Inside Airbnb data automatically.
Investment scoring models
ML classification model that scores each CMA as Buy / Hold / Avoid based on composite investment signals from the gold layer.
Price forecasting
Regression models predicting median home price for the next quarter per city, trained on 5+ years of macro and housing data.
STR market analysis
Occupancy rate, nightly price, and neighbourhood saturation scoring for Ottawa, Toronto, and Montreal STR markets.
Interactive dashboards
Streamlit and Power BI dashboards showing price trends, affordability index, vacancy rates, and investment signals by CMA.
Natural language market queries
Ask "What is the affordability index for Ottawa this quarter?" and get a live answer — powered by Claude + MCP over the gold layer.
Use Cases
Real-world applications
Built for real estate investors, developers, REITs, and property management companies operating in Canadian markets.
REIT portfolio analytics
Automated dashboards tracking cap rates, NOI trends, and regional exposure across a multi-city portfolio.
BI · PortfolioInvestment opportunity scoring
Buy / Hold / Avoid signals updated quarterly for 15+ Canadian CMAs, based on housing, macro, and STR data.
ML · InvestmentSTR investment viability
Estimate expected occupancy, nightly rates, and monthly revenue for a new STR property in any tracked neighbourhood.
ML · STRMarket sentiment NLP
Sentiment scoring of Airbnb guest reviews and real estate news headlines as leading indicators for neighbourhood trajectory.
NLP · SentimentWant to see the live Canadian real estate pipeline?
We can show you a live demo of the data pipeline, investment scoring model, and interactive dashboard.