Use cases and worked examples · FAQ
How do I analyse how prices in an area have moved over time?
Resolve the place to a location id with ma_get_location_typeahead, fetch the series with ma_get_time_series_data, then calculate growth and volatility with ma_get_time_series_operations.
ma_get_location_typeahead: pass the place name in English and pick thelocation_idyou want. Check the breadcrumbs when names repeat.ma_get_time_series_data: requesttype_groupapartment,business_typesale,data_pointavg_price_psqmanddate_intervalmonth, with adate_rangeand the location ids. Each point holds one period's value.ma_get_time_series_operations: request the same segment with operations such asmean,delta_pct,cagr,stdandcv.
Casafari's example question: How has the asking price per m² of flats in Valencia moved over the last three years? Over REST, POST /market-analytics-api/time-series returns the series.
See: Area Insights.
Where this is documented
- ma_get_location_typeahead
- ma_get_time_series_data
- ma_get_time_series_operations
- Time Series
- Area Insights
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