Delighted connector for Amazon AppFlow

Delighted is a cloud-based survey tool that helps its users distribute surveys and then collect and analyze the feedback. If you're a Delighted user, then your account contains data about your survey responses. You can use Amazon AppFlow to transfer data from Delighted to certain AWS services or other supported applications.

Amazon AppFlow support for Delighted

Amazon AppFlow supports Delighted as follows.

Supported as a data source?

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

Supported as a data destination?

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

Before you begin

To use Amazon AppFlow to transfer data from Delighted to supported destinations, you must have an account with Delighted that contains the data that you want to transfer. For more information about the Delighted data objects that Amazon AppFlow supports, see Supported objects.

From your account settings, note the API key. You provide this value to Amazon AppFlow when you create a connection to your Delighted account. For more information about Delighted API keys, see Authentication in the Delighted API documentation.

Connecting Amazon AppFlow to your Delighted account

To connect Amazon AppFlow to your Delighted account, provide the API key from your Delighted account settings so that Amazon AppFlow can access your data.

To connect to Delighted

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 Delighted.

4. Choose Create connection.

5. In the Connect to Delighted window, for API Key, enter a test or live API key from your Delighted account.

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.

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

Transferring data from Delighted with a flow

To transfer data from Delighted, create an Amazon AppFlow flow, and choose Delighted 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 Delighted, 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 Delighted as the data source, you can set the destination to any of the following connectors:

• Amazon Lookout for Metrics

• Amazon Redshift

• Amazon RDS for PostgreSQL

• Amazon S3

• HubSpot

• Marketo

• Salesforce

• SAP OData

• Snowflake

• Upsolver

• Zendesk

• Zoho CRM

Supported objects

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

Object	Field	Data type	Supported filters
Bounce	bounced_at	DateTime
	email	String
	name	String
	person_id	String
	since	DateTime	EQUAL_TO
	until	DateTime	EQUAL_TO
Metric	detractor_count	Integer
	detractor_percent	Double
	nps	Integer
	passive_count	Integer
	passive_percent	Double
	promoter_count	Integer
	promoter_percent	Double
	response_count	Integer
	since	DateTime	EQUAL_TO
	trend	String	EQUAL_TO
	until	DateTime	EQUAL_TO
People	created_at	DateTime
	email	String	EQUAL_TO
	id	String
	last_responded_at	DateTime
	last_sent_at	DateTime
	name	String
	next_survey_scheduled_at	DateTime
	phone_number	String	EQUAL_TO
	since	DateTime	EQUAL_TO
	until	DateTime	EQUAL_TO
Survey Response	additional_answers	List
	comment	String
	created_at	DateTime
	id	String
	notes	List
	order	String	EQUAL_TO
	permalink	String
	person	String
	person_email	String	EQUAL_TO
	person_id	String	EQUAL_TO
	person_properties	Struct
	score	Integer
	since	DateTime	EQUAL_TO
	survey_type	String
	tags	List
	trend	String	EQUAL_TO
	until	DateTime	EQUAL_TO
	updated_at	DateTime
	updated_since	DateTime	EQUAL_TO
	updated_until	DateTime	EQUAL_TO
Unsubscribe	email	String
	name	String
	person_id	String
	since	DateTime	EQUAL_TO
	unsubscribed_at	DateTime
	until	DateTime	EQUAL_TO