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Properties
Market Stat
City
DVF
Bucketed - Obtains statistics by obtaining buckets for the given statistics, it can be used for a pie-chart.
API Key used to be authentified to these APIs. Please contact Fluximmo to get one
Authorizations
API Key used to be authentified to these APIs. Please contact Fluximmo to get one
Body
OFFER_UNKNOWN
, OFFER_BUY
, OFFER_RENT
, OFFER_BUSINESS_TAKE_OVER
, OFFER_LEASE_BACK
, OFFER_LIFE_ANNUITY_SALE
, OFFER_HOLIDAYS
CLASS_UNKNOWN
, CLASS_HOUSE
, CLASS_FLAT
, CLASS_PROGRAM
, CLASS_SHOP
, CLASS_PREMISES
, CLASS_OFFICE
, CLASS_LAND
, CLASS_BUILDING
, CLASS_PARKING
PROCESS_UNKNOWN
, PROCESS_AVAILABLE_ON_MARKET
, PROCESS_UNDER_COMPROMISE
, PROCESS_RENTED_SOLD
, PROCESS_REMOVED
, PROCESS_RESERVED
, PROCESS_ARCHIVED
PRICING_ONE_OFF
, PRICING_MENSUAL
CURRENCY_EUR
, CURRENCY_USD
PROPERTY_TYPE_UNKNOWN
, PROPERTY_TYPE_STUDIO
, PROPERTY_TYPE_T1
, PROPERTY_TYPE_T1_T2
, PROPERTY_TYPE_T2
, PROPERTY_TYPE_T2_T3
, PROPERTY_TYPE_T3
, PROPERTY_TYPE_T3_4
, PROPERTY_TYPE_T4
, PROPERTY_TYPE_T4_5
, PROPERTY_TYPE_T5_MORE
, PROPERTY_TYPE_LOFT
, PROPERTY_TYPE_DUPLEX
, PROPERTY_TYPE_INDIVIDUAL
, PROPERTY_TYPE_TRADITIONAL
, PROPERTY_TYPE_CONTEMPORARY
, PROPERTY_TYPE_BOURGEOIS
, PROPERTY_TYPE_VILLA
, PROPERTY_TYPE_MANOR
, PROPERTY_TYPE_CASTLE
, PROPERTY_TYPE_FARM
, PROPERTY_TYPE_MAS
, PROPERTY_TYPE_BASTIDE
, PROPERTY_TYPE_CHALET
, PROPERTY_TYPE_ANCIENT
, PROPERTY_TYPE_HERITAGE_LISTED
, PROPERTY_TYPE_BUNGALOW
, PROPERTY_TYPE_STUDETTE
ROOM_TYPE_UNKNOWN
, ROOM_TYPE_MASTER_BEDROOM
, ROOM_TYPE_BEDROOM
, ROOM_TYPE_KITCHEN
, ROOM_TYPE_LIVING_ROOM
, ROOM_TYPE_OFFICE
HEAT_TYPE_UNKNOWN
, HEAT_TYPE_INDIVIDUAL
, HEAT_TYPE_SHARED
, HEAT_TYPE_MIXED
, HEAT_TYPE_CITY
, HEAT_TYPE_CISTERN
HEAT_DETAIL_UNKNOWN
, HEAT_DETAIL_FLOOR
, HEAT_DETAIL_CEILING
, HEAT_DETAIL_FIREPLACE
, HEAT_DETAIL_INSERT
, HEAT_DETAIL_AIR_CON
, HEAT_DETAIL_RADIANTS_TUBES
, HEAT_DETAIL_RADIATOR
, HEAT_DETAIL_SHEATHS
, HEAT_DETAIL_CONVECTOR
HEATING_UNKNOWN
, HEATING_FUEL_OIL
, HEATING_ELECTRICAL
, HEATING_GAS
, HEATING_BIOMASS
, HEATING_SOLAR
, HEATING_GEOTHERMAL
, HEATING_WOOD
, HEATING_HEAT_PUMP
, HEATING_PELLET
, HEATING_CANADIAN_WELL
, HEATING_COAL
KITCHEN_UNKNOWN_EQUIPPED
, KITCHEN_NON_EQUIPPED
, KITCHEN_PARTIALLY_EQUIPPED
, KITCHEN_FULLY_EQUIPPED
, KITCHEN_FURNISHED
, KITCHEN_NAKED
, KITCHEN_EQUIPPED_FURNISHED
VIEW_TYPE_UNKNOWN
, VIEW_TYPE_GLIMPSE
, VIEW_TYPE_PANORAMIC
, VIEW_TYPE_CLEAR
, VIEW_TYPE_EXCEPTIONAL
, VIEW_TYPE_DOMINANT
EXPOSURE_UNKNOWN
, EXPOSURE_NORTH
, EXPOSURE_NORTH_EAST
, EXPOSURE_EAST
, EXPOSURE_SOUTH_EAST
, EXPOSURE_SOUTH
, EXPOSURE_SOUTH_WEST
, EXPOSURE_WEST
, EXPOSURE_NORTH_WEST
UNKNOWN_FURNITURE
, UNFURNISHED
, PARTIALLY_FURNISHED
, FULLY_FURNISHED
MATERIAL_UNKNOWN
, MATERIAL_WOODEN
, MATERIAL_STEEL
, MATERIAL_STONE
, MATERIAL_PVC
, MATERIAL_CONCRETE
, MATERIAL_ALUMINIUM
, MATERIAL_HALF_TIMBERED
, MATERIAL_MARBLE
, MATERIAL_BRICK
, MATERIAL_CINDER_BLOCK
, MATERIAL_PREFABRICATED
, MATERIAL_ADOBE
, MATERIAL_COATING
VIEW_ON_UNKNOWN
, VIEW_ON_SEA
, VIEW_ON_HILLS
, VIEW_ON_RIVERS
, VIEW_ON_CITY
, VIEW_ON_PARK
, VIEW_ON_VERDURE
, VIEW_ON_STREET
, VIEW_ON_COURTYARD
, VIEW_ON_COUNTRYSIDE
, VIEW_ON_MOUNTAIN
, VIEW_ON_GARDEN_TERRACE
, VIEW_ON_LAKE
, VIEW_ON_SKI_SLOPES
, VIEW_ON_PORT
, VIEW_ON_POI
, VIEW_ON_SKY
, VIEW_ON_WATER
, VIEW_ON_VINEYARD
, VIEW_ON_ROOF
GLAZING_TYPE_UNKNOWN
, GLAZING_TYPE_SIMPLE
, GLAZING_TYPE_DOUBLE
, GLAZING_TYPE_TRIPLE
ENERGY_CLASSIFICATION_UNKNOWN
, ENERGY_CLASSIFICATION_G
, ENERGY_CLASSIFICATION_F
, ENERGY_CLASSIFICATION_E
, ENERGY_CLASSIFICATION_D
, ENERGY_CLASSIFICATION_C
, ENERGY_CLASSIFICATION_B
, ENERGY_CLASSIFICATION_A
, ENERGY_CLASSIFICATION_NC
GREENHOUSE_CLASSIFICATION_UNKNOWN
, GREENHOUSE_CLASSIFICATION_G
, GREENHOUSE_CLASSIFICATION_F
, GREENHOUSE_CLASSIFICATION_E
, GREENHOUSE_CLASSIFICATION_D
, GREENHOUSE_CLASSIFICATION_C
, GREENHOUSE_CLASSIFICATION_B
, GREENHOUSE_CLASSIFICATION_A
, GREENHOUSE_CLASSIFICATION_NC
INTERIOR_CONDITION_UNKNOWN
, INTERIOR_CONDITION_EXCELLENT
, INTERIOR_CONDITION_TO_REFRESH
, INTERIOR_CONDITION_SMALL_WORKS_TO_BE_PLANNED
, INTERIOR_CONDITION_MAJOR_WORKS_TO_BE_PALLNED
, INTERIOR_CONDITION_BRAND_NEW
, INTERIOR_CONDITION_GOOD_CONDITION
, INTERIOR_CONDITION_TO_BE_RENOVATED
GENERAL_CONDITION_UNKNOWN
, GENERAL_CONDITION_TO_BE_RENOVATED
, GENERAL_CONDITION_BRAND_NEW
, GENERAL_CONDITION_RENOVATED
, GENERAL_CONDITION_TO_BE_REFRESHED
, GENERAL_CONDITION_GOOD
, GENERAL_CONDITION_EXCELLENT
, GENERAL_CONDITION_DECREPIT
, GENERAL_CONDITION_TO_BE_BUILT
PARKING_UNKNOWN
, PARKING_GARAGE
, PARKING_PARKING
LAND_UNKNOWN
, LAND_BUILDING_PLOT
, LAND_AGRICULTURAL
, LAND_VINEYARD
, LAND_INDUSTRIAL
, LAND_POND
, LAND_FOREST
Shape which has already been stored inside fluximmo services. This is particularly useful for when you have a pre-defined list of shapes and you want to reference the list using a logical name (for example Ile-de-France) rather than having to provide coordinates each time.
UNKNOWN_GEO_INDEX
, DEPARTMENT_GEO_INDEX
, CITY_GEO_INDEX
, REGION_GEO_INDEX
Matches geopoint values within a given distance of a geopoint (pin).
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Use a geo_bounding_box filter to match geo_point values that intersect a bounding box. To define the box, provide geopoint values for two opposite corners.
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Filter documents indexed using. The behaviour of the GeoShape query depends on the type and relation defined. This have the same specs as the GeoJson RFC 7946 (read more here: https://geojson.org/)
UNKNOWN_SPATIAL_RELATION
, WITHIN
, CONTAINS
, DISJOINT
, INTERSECTS
UNKNOWN_GEO_SHAPE_TYPE
, POINT
, LINE_STRING
, POLYGON
, MULTI_POINT
, MULTI_LINE_STRING
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Hierarchical Geobased data-representation. This create a grid of the world with a certain level of details depending on the actual picked index. Please see more here: https://h3geo.org/docs/core-library/restable
Shape which has already been stored inside fluximmo services. This is particularly useful for when you have a pre-defined list of shapes and you want to reference the list using a logical name (for example Ile-de-France) rather than having to provide coordinates each time.
UNKNOWN_GEO_INDEX
, DEPARTMENT_GEO_INDEX
, CITY_GEO_INDEX
, REGION_GEO_INDEX
Matches geopoint values within a given distance of a geopoint (pin).
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Use a geo_bounding_box filter to match geo_point values that intersect a bounding box. To define the box, provide geopoint values for two opposite corners.
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Filter documents indexed using. The behaviour of the GeoShape query depends on the type and relation defined. This have the same specs as the GeoJson RFC 7946 (read more here: https://geojson.org/)
UNKNOWN_SPATIAL_RELATION
, WITHIN
, CONTAINS
, DISJOINT
, INTERSECTS
UNKNOWN_GEO_SHAPE_TYPE
, POINT
, LINE_STRING
, POLYGON
, MULTI_POINT
, MULTI_LINE_STRING
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Hierarchical Geobased data-representation. This create a grid of the world with a certain level of details depending on the actual picked index. Please see more here: https://h3geo.org/docs/core-library/restable
SELLER_TYPE_UNKNOWN
, SELLER_TYPE_AGENCY
, SELLER_TYPE_NETWORK
PRICING_ONE_OFF
, PRICING_MENSUAL
CURRENCY_EUR
, CURRENCY_USD
Shape which has already been stored inside fluximmo services. This is particularly useful for when you have a pre-defined list of shapes and you want to reference the list using a logical name (for example Ile-de-France) rather than having to provide coordinates each time.
UNKNOWN_GEO_INDEX
, DEPARTMENT_GEO_INDEX
, CITY_GEO_INDEX
, REGION_GEO_INDEX
Matches geopoint values within a given distance of a geopoint (pin).
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Use a geo_bounding_box filter to match geo_point values that intersect a bounding box. To define the box, provide geopoint values for two opposite corners.
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
Filter documents indexed using. The behaviour of the GeoShape query depends on the type and relation defined. This have the same specs as the GeoJson RFC 7946 (read more here: https://geojson.org/)
UNKNOWN_SPATIAL_RELATION
, WITHIN
, CONTAINS
, DISJOINT
, INTERSECTS
UNKNOWN_GEO_SHAPE_TYPE
, POINT
, LINE_STRING
, POLYGON
, MULTI_POINT
, MULTI_LINE_STRING
The latitude in degrees. It must be in the range [-90.0, +90.0].
The longitude in degrees. It must be in the range [-180.0, +180.0].
UNKNOWN_ANOMALY
, NO_EXACT_LOCATION_ANOMALY
, NO_PARKING_COUNT_ANOMALY
, NO_DESCRIPTION_ANOMALY
, NO_MEDIAS_ANOMALY
, NO_PICTURE_ANOMALY
, TOO_SHORT_DESCRIPTION_ANOMALY
, TOO_SHORT_TITLE_ANOMALY
, LOW_PRICE_ANOMALY
, HIGH_PRICE_ANOMALY
, INCOHERENT_LOCATION_ANOMALY
, INCOHERENT_LAND_VALUES_ANOMALY
, INCOHERENT_HABITATION_VALUES_ANOMALY
, TOO_SMALL_ROOM_ANOMALY
, SURFACE_IS_NONE
, ROOM_COUNT_IS_NONE
, BEDROOM_COUNT_IS_NONE
, PRICE_INCOHERENT
, TITLE_TOO_SHORT
, DESCRIPTION_TOO_SHORT
, PRICE_IS_NONE
, POSTAL_CODE_IS_NONE
, INSEE_CODE_IS_NONE
, CITY_IS_NONE
, OFFER_TYPE_IS_NONE
, TYPE_IS_NONE
UNKNOWN_ANOMALY
, NO_EXACT_LOCATION_ANOMALY
, NO_PARKING_COUNT_ANOMALY
, NO_DESCRIPTION_ANOMALY
, NO_MEDIAS_ANOMALY
, NO_PICTURE_ANOMALY
, TOO_SHORT_DESCRIPTION_ANOMALY
, TOO_SHORT_TITLE_ANOMALY
, LOW_PRICE_ANOMALY
, HIGH_PRICE_ANOMALY
, INCOHERENT_LOCATION_ANOMALY
, INCOHERENT_LAND_VALUES_ANOMALY
, INCOHERENT_HABITATION_VALUES_ANOMALY
, TOO_SMALL_ROOM_ANOMALY
, SURFACE_IS_NONE
, ROOM_COUNT_IS_NONE
, BEDROOM_COUNT_IS_NONE
, PRICE_INCOHERENT
, TITLE_TOO_SHORT
, DESCRIPTION_TOO_SHORT
, PRICE_IS_NONE
, POSTAL_CODE_IS_NONE
, INSEE_CODE_IS_NONE
, CITY_IS_NONE
, OFFER_TYPE_IS_NONE
, TYPE_IS_NONE
UNKNOWN_GROUPING_TYPE
, HABITATION_GROUPING_TYPE
, OFFER_GROUPING_TYPE
, PROPERTY_CONDITION_GROUPING_TYPE
, CLIMATE_GROUPING_TYPE
, ENERGY_GROUPING_TYPE
, WEBSITE_SOURCE_GROUPING_TYPE
Response
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