BambooHR connector for Amazon AppFlow - Amazon AppFlow
Amazon AppFlow support for BambooHRBefore you beginConnecting to BambooHRTransferring data from BambooHRSupported destinationsSupported objects

BambooHR connector for Amazon AppFlow

BambooHR is a human resources software as a service (SaaS) solution. If you’re a BambooHR user, your account contains data on employees and applicants, such as employee information, benefits, vacation time, openings, reports, files, and more. You can use Amazon AppFlow to transfer data from BambooHR to certain AWS services or other supported applications.

Amazon AppFlow support for BambooHR

Amazon AppFlow supports BambooHR as follows.

Supported as a data source?

Yes. You can use Amazon AppFlow to transfer data from BambooHR.

Supported as a data destination?

No. You can't use Amazon AppFlow to transfer data to BambooHR.

Before you begin

To use Amazon AppFlow to transfer data from BambooHR to supported destinations, you must meet these requirements:

  • You have an account with BambooHR that contains the data that you want to transfer. For more information about the BambooHR data objects that Amazon AppFlow supports, see Supported objects.

  • In the API keys settings for your account, you've created an API key for Amazon AppFlow. Amazon AppFlow uses the API key to make authenticated calls to your account and securely access your data. For more information, see Authentication in the BambooHR documentation.

Note the value of your API key. When you connect to your BambooHR account, you provide this value to Amazon AppFlow.

Connecting Amazon AppFlow to your BambooHR account

To connect Amazon AppFlow to your BambooHR account, provide details from your BambooHR project so that Amazon AppFlow can access your data. If you haven't yet configured your BambooHR project for Amazon AppFlow integration, see Before you begin.

To connect to BambooHR

  1. Sign in to the AWS Management Console and open the Amazon AppFlow console at https://console.aws.amazon.com/appflow/.

  2. In the navigation pane on the left, choose Connections.

  3. On the Manage connections page, for Connectors, choose BambooHR.

  4. Choose Create connection.

  5. In the Connect to BambooHR window, enter the following information:

    • API key – Enter your API key.

    • Instance URL – The URL of the instance where you want to run the operation, for example, https://api.bamboohr.com/api/gateway.php/amazonawstest.

    • Zone (Optional) – The time zone that you access Amazon AppFlow from.

  6. Optionally, under Data encryption, choose Customize encryption settings (advanced) if you want to encrypt your data with a customer managed key in the AWS Key Management Service (AWS KMS).

    By default, Amazon AppFlow encrypts your data with a KMS key that AWS creates, uses, and manages for you. Choose this option if you want to encrypt your data with your own KMS key instead.

    Amazon AppFlow always encrypts your data during transit and at rest. For more information, see Data protection in Amazon AppFlow.

    If you want to use a KMS key from the current AWS account, select this key under Choose an AWS KMS key. If you want to use a KMS key from a different AWS account, enter the Amazon Resource Name (ARN) for that key.

  7. For Connection name, enter a name for your connection.

  8. Choose Connect.

  9. In the window that appears, sign in to your BambooHR account, and grant access to Amazon AppFlow.

On the Manage connections page, your new connection appears in the Connections table. When you create a flow that uses BambooHR as the data source, you can select this connection.

Transferring data from BambooHR with a flow

To transfer data from BambooHR, create an Amazon AppFlow flow, and choose BambooHR as the data source. For the steps to create a flow, see Creating flows in Amazon AppFlow.

When you configure the flow, choose the data object that you want to transfer. For the objects that Amazon AppFlow supports for BambooHR, see Supported objects.

Also, choose the destination where you want to transfer the data object that you selected. For more information about how to configure your destination, see Supported destinations.

Supported destinations

When you create a flow that uses BambooHR as the data source, you can set the destination to any of the following connectors:

Supported objects

When you create a flow that uses BambooHR as the data source, you can transfer any of the following data objects to supported destinations:

Object

Field

Data type

Supported filters

Company Files

Company Name

String

Id

Integer

can Upload Files

String

files

List

Deduction types

Additional Description

String

Allowable Benefit Types

List

Can BeCollected By Trax

Boolean

Deduction Note

String

Deduction Note Link

String

Deduction Note Link Text

String

Deduction Type Name

String

Default Deduction Code

String

Hide Annual Max

Boolean

Id

String

Managed Deduction Type

String

Non Benefit Deduction Type

Boolean

Sub Type Text

String

Sub Types

List

Employee Dependents

Address Line 1

String

Address Line 2

String

City

String

Country

String

Date Of Birth

Date

Employee Id

String

First Name

String

Gender

String

Home Phone

String

Id

String

Is Student

String

Is Us Citizen

String

Last Name

String

Masked SIN

String

Masked SSN

String

Middle Name

String

Relationship

String

State

String

Zip Code

String

Employees

Can Upload Photo

Boolean

Department

List

Display Name

String

Division

List

Employee photo url

String

First Name

String

ID

String

EQUAL_TO

Instagram

String

Job Title

List

Last Changed

DateTime

GREATER_THAN_OR_EQUAL_TO

Last Name

String

LinkedIn

String

Location

List

Manager

String

Mobile Phone

String

Photo Uploaded

Boolean

Preferred Name

String

Pronouns

List

Work Email

String

Work Phone

String

Work Phone Extension

String

Training Type

Category

Struct

Description

String

Due From Hire Date

List

Frequency

String

Id

String

Link Url

String

Renewable

Boolean

Required

Boolean

Training Type

String

Users

Email

String

Employee Id

Integer

First Name

String

Id

Integer

Last Login

DateTime

Last Name

String

Status

String