BambooHR to FTP

Automatically Export & Sync BambooHR Data to FTP

BambooHR
a black arrow pointing to the right
FTP
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

AllFields
Employees-Directory
Employees+Details
Pre-blended combo set EMPLOYEE-DETAILS
TimeOff Requests AllTime
TimeOff Requests Last X days
Date Rangable

Información adicional

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

If you only need to export your data one time, check the website of BambooHR 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 BambooHR.
BambooHR is an American technology company that provides human resources 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.

FTP(S) is an extension to the commonly used File Transfer Protocol (FTP) that adds support for the Transport Layer Security (TLS).

Formatos de archivo

XLSX (Parsed)
XLSX (Raw)
CSV File

Integration Flow

Flatly
Dashboard

Setup

Step 1

Select BambooHR from the Data Source dropdown and FTP from the Data Destination dropdown.

Step 2

Authorize BambooHR with your credentials using the flow.

Step 3

Authorize FTP with your credentials using the flow.

Step 4

Select your Data Set from the 5 Data Sets available using the dropdown.

Step 5

Click Flatten to sync your data.

Vídeo tutorial

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