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ads reference
maja-valueguard edited this page Oct 25, 2024
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33 revisions
The code below gives an example of how to use the client to get ads references.
import valueguard
vgClient = valueguard.Client()
vgClient.authenticate("<username>", "<password>")
print(vgClient.ads_reference(search_criteria={
"home_type":["apartment"],
"living_area_reference":"78",
"wgs84lat":"59.864908174031974",
"wgs84lon":"17.648463519218435"
}))
Field name | Description | Example |
---|---|---|
id | Ad id | 4b966449-5a34-11ef-b390-0242ac110006 |
residential_registry_id | Residential registry id | unique id (serial number) for all residences source: Valueguard |
street | Street name in address | 1:a villagatan |
number | Street number in address | 1 |
letter | Letter after street number in address, if any | A |
rooms | Number of rooms | 5 |
living_area | Area of residence in sqm | 137 |
construction_year | Year it was built | 1920 |
ancillary_area | Ancillary area in sqm, not part of the primary building area | 23 |
home_type | Type of residence: apartment, house, plot, terraced_house, townhouse, unknown | apartment |
price | Last price on the ad | 1900000 |
monthly_fee | Monthly fee | 3654 |
error_code | 1 = suspected error in data 0 = no suspected error in data |
0 |
firm | Firm | notar |
active | 1 = the ad is currently active 0 = the ad is currently inactive |
1 |
has_pdf | If the ad has a pdf snapshot | True |
registered_date | When the ad was registered | 2012-03-23 |
url | Url of ad | https://webpage.se/ad/2 |
rt90x | X-coordinate (longitude) from RT90. a Swedish positioning system by LMV used before 2007 |
6586700 |
rt90y | Y-coordinate (latitude) from RT90. a Swedish positioning system by LMV used before 2007 |
1367905 |
wgs84lon | longitude from wgs84 | 17.651505 |
wgs84lat | latitude from wgs84 | 59.868478 |
Field name | Description | Example |
---|---|---|
id | Id of the summary | 324234 |
average_rooms | Average amount of rooms for all objects | 3 |
average_living_area | Average living area in sqm for all objects | 72 |
average_ancillary_area | Average ancillary area in sqm (not part of the primary building area) for all objects | 15 |
average_construction_year | Average construction year for all objects | 1985 |
average_price | Average price for all objects | 2100000 |
average_recounted_price | Average price today for all objects | 2300000 |
average_monthly_fee | Average monthly fee for all objects | 2300 |
average_registered_date | Average registered date for all objects | "2024-02-02" |
average_advertising_days | Average amount of advertising days for all objects | 35 |
average_monthly_fee_sqm | Average monthly fee per sqm for all objects | 45 |
average_price_sqm | Average price per square for all objects | 17000 |
average_distance | Average distance between all objects in meters | 28 |
average_plot_area | Average plot area in sqm for all objects | 28 |
Field name | Description | Example |
---|---|---|
registered_date_reference | When the ad was registered | 2012-03-23 |
price_reference | Last price on the ad | 1900000 |
living_area_reference | Area of residence in sqm | 78 |
wgs84lat | Y-coordinate (latitude) from WGS84. a global positioning system |
59.864908174031974 |
wgs84lon | X-coordinate (longitude) from WGS84. a global positioning system |
17.648463519218435 |
floor_reference | The floor of this particular residence | 3 |
floors_reference | The highest floor on the address | 4 |
rooms_reference | Number of rooms | 4 |
ancillary_area_reference | Ancillary area in sqm, not part of the primary building area | 23 |
construction_year_reference | Year it was built | 1976 |
monthly_fee_reference | Monthly fee | 6000 |
Field name | Description | Example |
---|---|---|
home_type | List of type of residence | [apartment, house, plot, terraced_house, townhouse, unknown] |
ownership_type | List of type of ownership of residence | [co_operative_apartment, property_rights, site_leasehold, unknown] |
registered_date_min | Earliest date when the ad can be registered | 2022-03-23 |
registered_date_max | Latest date when the ad can be registered | 2023-03-23 |
price_min | Lowest allowed price on the ad | 1900000 |
price_max | Highest allowed price on the ad | 2900000 |
living_area_min | Lowest allowed area of residence in sqm | 78 |
living_area_max | Highest allowed area of residence in sqm | 88 |
rooms_min | Lowest allowed nubmer of rooms | 3 |
rooms_max | Highest allowed nubmer of rooms | 4 |
construction_year_min | Earliest allowed year when the building was built | 1956 |
construction_year_max | Latest allowed year when the building was built | 1986 |
advertising_days_min | Lowest amount of days the ad is allowed to have been active | 10 |
advertising_days_max | Highest amount of days the ad is allowed to have been active | 30 |
error_code | 1 = suspected error in data 0 = no suspected error in data |
0 |
is_close_to_population_centre | If the property needs to be in proximity to population centers. | 0 |
is_new_construction | Show obejcts that are likely new constructions. | 0 |
excluded_ids | List of ads that have been filtered out | ["550e8400-e29b-41d4-a716-446655440000", "550e8400-e29b-41d4-a716-446655440001"] |
selected_ids | List of ad UUIDs to include in the reply | ["550e8400-e29b-41d4-a716-446655440002", "550e8400-e29b-41d4-a716-446655440003"] |
limit | Maximum number of responses | 20 |
active | 1 = the ad should be currently active 0 = the ad should be currently inactive |
1 |
Reflecting importance in the reference ads search, between 0 to 1000
Field Name | Description | Default | Example |
---|---|---|---|
registered_date_weight | Weight assigned to the contract date. | 500 | 900 |
living_area_weight | Weight given to the living area. | 500 | 500 |
construction_year_weight | Weight allocated to the year of construction. | 500 | 350 |
monthly_fee_weight | Weight for the monthly fee. | 500 | 600 |
floor_weight | Weight of the property's floor level. | 500 | 500 |
floors_weight | Weight for the total number of floors in the building. | 500 | 400 |
rooms_weight | Weight assigned to the number of rooms. | 500 | 700 |
ancillary_area_weight | Weight assigned to the ancillary_area. | 500 | 700 |
population_center_weight | Weight for the property's proximity to population centers. | 500 | 500 |
distance_weight | Weight for the distance to the reference ad. | 500 | 800 |
curl --location 'https://api.valueguard.se/v1/ads/reference?access_token=<ACCESS_TOKEN>' \
--data '{"living_area_reference":78,"rooms_reference":1,"advertising_days_min":0,"advertising_days_max":500,"home_type":["apartment","house"],
"ownership_type":["property_rights"],"living_area_min":0,"living_area_max":500,"price_min":0,"price_max":12000000,"rooms_min":0,"rooms_max":10,"error_code":0,"excluded_ids":[],"limit":15,"selected_ids":null,"excluded_ids":null,"wgs84lat":"59.85856380000001","wgs84lon":"17.6389267"}'
- General description
- Residential Registry
- Residential Registry Markups
- Residential Registry Valuations
- General description
- Index normalized
- Index definitions*
- Publishing calendar
- Best index
- Index recount
- Index statistics
- Index volume
- General description
- Area
- Area polygon
- Area category
- Area information
- Area information field
- Area information tag
- Area information dates
- Area map
*= only for internal use