Greenhouse to Looker

Automatically Export & Sync Greenhouse Data to Looker

Greenhouse
a black arrow pointing to the right
Looker
Conjuntos de datos completos
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
No se necesitan instrucciones

Conjuntos de datos

Applications-Alltime
Filterable
Applications-Last X days
Date Rangable
Filterable
Applications+Offers-Alltime
Pre-blended combo set OFFERS
Applications+Offers-Last X days
Date Rangable
Pre-blended combo set OFFERS
Candidates-Alltime
Filterable
Candidates-Last X days
Date Rangable
Filterable
Candidates+Activities-Last X days
Date Rangable
Filterable
Pre-blended combo set ACTIVITIES
Jobs+Openings-Alltime
Pre-blended combo set OPENINGS
Jobs+Openings-Last X days
Date Rangable
Pre-blended combo set OPENINGS
Offers-Alltime
Offers-Last X days
Date Rangable

Información adicional

This service is designed to help anyone continuously export (i.e. "sync") data from Greenhouse.

If you only need to export your data one time, check the website of Greenhouse to see if their service offers a one-time export feature natively. Sometimes a Data Source's native export feature may provide not as much data as its API does, in which case Flatly is the solution.

Additional Information

Flatly uses official API channels to provide an integration with Greenhouse.
Greenhouse is an American technology company headquartered in New York City that provides a recruiting software as a service.
Scopes

Flatly's access to Plaid and Plaid's downstream connected financial institutions is read-only access to text. It is limited to account data (words, numbers, dates). It does not include any money-movement, transfer capabilities or account holder profiles/identities.

Plaid alone interfaces directly with financial institutions, caches data from those institutions on Plaid infrastructure, and then makes the appropriate scoped subset of that data available to partners like Flatly using secure connections called client libraries.

Looker reads tables from Google BigQuery.

Formatos de archivo

NDJSON

Integration Flow

Setup

Step 1

Select Greenhouse from the Data Source dropdown and Looker from the Data Destination dropdown.

Step 2

Authorize Greenhouse with your credentials using the flow.

Step 3

Authorize Looker with your credentials using the flow.

Step 4

Select your Data Set from the 11 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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