Go to example tasks
Florida Housing Market Predictions — ZIP Forecasts
Florida housing market predictions as data: 12-month price forecasts + hotness scores for every Miami ZIP, plus flood-risk overlays. Export CSV/JSON.
Realtor.com Market Data Scraper — Hotness, Forecast, Schoolssian.agency/realtor-market-analytics-scraper
🗂️ Type
Layer
Query
📍 Region
+13 fieldsTextNumberBooleanListObject
Input
📍 Locations(required):Miami, FL
🗂️ Market data layers:HousingForecast+2
🌡️ Climate projection horizon:0
Output fields
🗂️ Type
Layer
Query
📍 Region
ZIP
Hotness
Band
Forecast $
Forecast %
📈 Metric
Value
🏠 Homes
Lat
Lng
School
⭐ Rating
Fetched
Sign up on Apify01
Create your Apify account to access the Realtor.com Market Data Scraper — Hotness, Forecast, Schools.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
