Using a custom property view on the fly
Introduction
Many Datafiniti customers are interested in using our property data with only specific fields in the record results of a query. In this guide, we will show you a couple of ways to set up a custom view.
Setting a view in your Property Search API
Whenever you set up your property search API body you can create a view by declaring the fields in the JSON of the body. Let's use the following query as a base for a property search:
{
"query":"country:US AND province:TX AND city:\"el paso\" AND address:* AND transactions:*",
"num_records":20
}
Now let's add the view to the body that allows only the following fields:
- address
- city
- province
- postalCode
- transaction
- buyerFirstName
- buyerLastName
{
"query": "country:US AND province:TX AND city:\"el paso\" AND address:* AND transactions:*",
"view": [
{"name": "address"},
{"name": "city"},
{"name": "province"},
{"name": "postalCode"},
{"name": "transactions","flatten": true, "sub_fields": [
{"name": "saleDate"},
{"name": "buyerFirstName"},
{"name": "buyerLastName"}
]
}
],
"num_records":20
}
Here is an example of the download of this view:
Creating a custom view via create view API endpoint
This method will create a permanent view that you can declare by name in the view of your search body. Using the https://api.datafiniti.co/v4/views API endpoint you can create a view. We will use the previous fields as our view body. We will name this view custom_transaction_view
.
{
"name": "custom_transaction_view",
"data_type": "property",
"fields": [
{"name": "address"},
{"name": "city"},
{"name": "province"},
{"name": "postalCode"},
{"name": "transactions","flatten": true, "sub_fields": [
{"name": "saleDate"},
{"name": "buyerFirstName"},
{"name": "buyerLastName"}
]
}
]
}
Name
Please note you can name the view any string value not currently used. To check your current view you can use: https://api.datafiniti.co/v4/views?page=1&limit=10
dataType
Be sure that you declare the correct dataType to the dataType you wish to search. As we need to match the API to the dataType's schema. Learn more about Property Data Schema.
Updated over 1 year ago