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RentCast BigQuery

Connect RentCast to BigQuery

Send RentCast property records, sale listings, rental listings and 3 more data types to BigQuery on a schedule. Narrow it down by property type or status. Refresh as often as every 15 minutes.

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BigQuery dataset rentcast
  • property_records
  • sale_listings
  • rental_listings
  • statistics
  • value_estimates
  • 1 more data type
Each RentCast data type lands in its own table. You pick the dataset and table names.
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How to connect RentCast and BigQuery

5 steps. You can preview the RentCast data in Coupler.io before anything reaches BigQuery.

Step 1 of 5

Connect RentCast

Enter your RentCast API key. You only do this once per account.

API key••••••••••••

Step 2 of 5

Choose what to export

Pick the RentCast data you want in BigQuery.

Step 3 of 5

Fine-tune the export

Optional settings for this RentCast export.

AddressNot setSpecify the full address of the property in the format: Street, City, State, Zip. Used to retrieve data for a specific property or search area.
CityNot setSpecify the city name to search for listings. This parameter is case-sensitive.
StateNot setSpecify the 2-character state abbreviation to search for listings. This parameter is case-sensitive.
Zip codeNot setSpecify the 5-digit zip code to search for listings in a specific area.
Show 9 more fields Show fewer fields
LatitudeNot setSpecify the latitude coordinates of the search area. Use with longitude and radius to search for listings in a specific area.
LongitudeNot setSpecify the longitude coordinates of the search area. Use with latitude and radius to search for listings in a specific area.
RadiusNot setSpecify the search radius in miles (maximum 100). Use with latitude/longitude or address parameters to define the search area.
Property typeNot setSpecify the type of property to filter listings: Single Family, Condo, Townhouse, Manufactured, Multi-Family, Apartment, Land.
BedroomsNot setSpecify the number of bedrooms to filter listings. Use 0 to indicate a studio layout.
BathroomsNot setSpecify the number of bathrooms to filter listings. Supports fractions to indicate partial bathrooms.
StatusNot setSpecify the listing status to filter results: Active or Inactive.
Days oldNot setSpecify the maximum number of days since a property was listed or sold (minimum 1). Filters properties within the specified date range.
History rangeNot setSpecify the time range for historical records in months. Defaults to 12 months if not provided.

Step 4 of 5

Connect BigQuery

Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the RentCast data.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset namerentcastExactly as it appears in BigQuery
Table nameproperty_recordsExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

Step 5 of 5

Choose a write mode and schedule

Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.

Write mode

Each run overwrites property_records with fresh RentCast data.

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Get the most of RentCast to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
Understand data icon

Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
RentCast to BigQuery questions

6 data types, including Property records, Sale listings, Rental listings, Statistics and Value estimates.

With your RentCast API key, entered once when you add the connection.

Yes. Available filters include property type and status.

Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with RentCast data.

Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example QuickBooks or Xero, and join or append them before the data reaches BigQuery.

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