Lever to Looker Studio

Automatically Export & Sync Lever Data to Looker Studio

Lever
a black arrow pointing to the right
Looker Studio
Full data sets
No code
No complicated flow charts
No triggers
Set up in under 3 minutes
No instructions needed

Data sets

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

Built for Synchronization

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

Connection

Opening a CSV file from Google Cloud Storage in Looker Studio is straightforward and takes only a few clicks. Importantly, a CSV file can be larger than 10 million cells, whereas a Google Sheet is limited to 10 million cells.

Looker Studio reads flat files directly from Google Cloud Storage.

File Formats

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow

Setup

Step 1

Select Lever from the Data Source dropdown and Looker Studio from the Data Destination dropdown.

Step 2

Authorize Lever with your credentials using the OAuth flow.

Step 3

Authorize Looker Studio with your credentials using the Service Account flow.

Step 4

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

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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