Workable to Looker

Automatically Export & Sync Workable Data to Looker

Workable
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

Activities by Job
Filterable
Candidates by Job
Filterable
Events-Alltime
Events X days Window
Jobs
Jobs+Candidates
Pre-blended combo set CANDIDATES
Jobs-Last X days+Candidates
Date Rangable
Pre-blended combo set CANDIDATES

Información adicional

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

If you only need to export your data one time, check the website of Workable 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 Workable.
Workable is flexible, global, easy-to-use hiring software.
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

Flatly
Dashboard

Setup

Step 1

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

Step 2

Authorize Workable with your credentials using the flow.

Step 3

Authorize Looker with your credentials using the flow.

Step 4

Select your Data Set from the 7 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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