Lever to Google BigQuery

Automatically Export & Sync Lever Data to Google BigQuery

Lever
a black arrow pointing to the right
Google BigQuery
Conjuntos de datos completos
No se necesitan instrucciones
Sin código
Sin diagramas de flujo complicados
Sin desencadenantes
Se configura en menos de 3 minutos
Flat pricing starting at $19 /month

Conjuntos de datos

Applications
Filterable
Applications-Last X days
Date Rangable
Filterable
Archive Reasons
Contacts
Enriched by ARCHIVE-REASONS
Filterable
Contacts-Last X days
Enriched by ARCHIVE-REASONS
Date Rangable
Filterable
Contacts+Interviews
Enriched by ARCHIVE-REASONS
Filterable
Pre-blended combo set INTERVIEWS
Contacts+Interviews-Last X days
Enriched by ARCHIVE-REASONS
Date Rangable
Filterable
Pre-blended combo set INTERVIEWS
Postings
Postings+Contacts-Last X days
Date Rangable
Pre-blended combo set CONTACTS
Requisitions-Alltime
Requisitions-Last X days
Date Rangable

Información adicional

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

If you only need to export your data one time, check the website of Lever 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 Lever.
Lever is a cloud-based solution that offers ATS and CRM functionality to manage the hiring process.
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 Lever from the Data Source dropdown and Google BigQuery from the Data Destination dropdown.

Step 2

Authorize Lever with your credentials using the flow.

Step 3

Authorize Google BigQuery 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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