Recruiterflow to Google Data Studio

Automatically Export & Sync Recruiterflow Data to Google Data Studio

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

Data sets

Candidates
Clients
Contacts
Jobs

Built for Synchronization

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

If you only need to export your data one time, check the website of Recruiterflow 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 Recruiterflow.
Recruiterflow is an all-in-one ATS + CRM + Automation built for executive search firms and recruiting agencies.
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.

Google Data Studio reads flat files directly from Google Sheets or Google Cloud Storage.

File Formats

Integration Flow

Setup

Step 1

Select Recruiterflow from the Data Source dropdown and Google Data Studio from the Data Destination dropdown.

Step 2

Authorize Recruiterflow with your credentials using the Basic Authentication flow.

Step 3

Authorize Google Data Studio with your credentials using the Service Account flow.

Step 4

Select your Data Set from the 4 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Walkthrough Video

Extended Data Sources

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