LinkedIn Pages connector for Amazon AppFlow

LinkedIn Pages is a solution for organizations to post industry updates, job opportunities, and information. If you're a LinkedIn Pages user, your account contains data about your pages, followers, and engagement. You can use Amazon AppFlow to transfer data from LinkedIn Pages to certain AWS services or other supported applications.

Amazon AppFlow support for LinkedIn Pages

Amazon AppFlow supports LinkedIn Pages as follows.

Supported as a data source?

Yes. You can use Amazon AppFlow to transfer data from LinkedIn Pages.

Supported as a data destination?

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

Supported API version

Amazon AppFlow retrieves your LinkedIn Pages data by sending requests to version 202212 of the LinkedIn API.

Before you begin

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

• You have a LinkedIn account and a LinkedIn Page. For the steps to create a page, see Create a LinkedIn Page on LinkedIn Help.

• In LinkedIn Developers, you've created an app, and you've configured it as follows:

  • The app is associated with your LinkedIn Page.

  • The app includes the Marketing Developer Platform product.

  • The app Auth settings include one or more redirect URLs for Amazon AppFlow.

    Redirect URLs have the following format:

    https://region.console.aws.amazon.com/appflow/oauth

    In this URL, region is the code for the AWS Region where you use Amazon AppFlow to transfer data from LinkedIn Pages. For example, the code for the US East (N. Virginia) Region is us-east-1. For that Region, the URL is the following:

    https://us-east-1.console.aws.amazon.com/appflow/oauth

    For the AWS Regions that Amazon AppFlow supports, and their codes, see Amazon AppFlow endpoints and quotas in the AWS General Reference.

From the Auth settings for your app, note the client ID and client secret. You provide these values to Amazon AppFlow when you connect to LinkedIn Pages.

Connecting Amazon AppFlow LinkedIn Pages

To connect Amazon AppFlow to LinkedIn Pages, provide the client credentials from your LinkedIn Developers app so that Amazon AppFlow can access your data. If you haven't yet configured your LinkedIn account for Amazon AppFlow integration, see Before you begin.

To connect to LinkedIn Pages

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 LinkedIn Pages.

4. Choose Create connection.

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

   • Client ID – The client ID from the Auth settings of your LinkedIn Developers app.

   • Client secret – The client secret from the Auth settings of your LinkedIn Developers app.

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 LinkedIn 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 LinkedIn Pages as the data source, you can select this connection.

Transferring data from LinkedIn Pages with a flow

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

• Amazon Honeycode

• 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 LinkedIn Pages as the data source, you can transfer any of the following data objects to supported destinations:

Object	Field	Data type	Supported filters
Follower Statistics	Follower Counts By Association Type	List
	Follower Counts By Country	List
	Follower Counts By Function	List
	Follower Counts By Industry	List
	Follower Counts By Region	List
	Follower Counts By Seniority	List
	Follower Counts By Staff Count Range	List
	Follower Gain	Struct
	Organizational Entity	String
	Start	DateTime	EQUAL_TO, BETWEEN
	Time Granularity Type	String	EQUAL_TO
	Time Range	Struct
Page Statistics	Organization	String
	Page Statistics By Country	List
	Page Statistics By Function	List
	Page Statistics By Industry	List
	Page Statistics By Region	List
	Page Statistics By Seniority	List
	Page Statistics By Staff Count Range	List
	Start	DateTime	EQUAL_TO, BETWEEN
	Time Granularity Type	String	EQUAL_TO
	Time Range	Struct
	Total Page Statistics	Struct
Share Statistics	Organizational Entity	String
	Start	DateTime	EQUAL_TO, BETWEEN
	Time Granularity Type	String	EQUAL_TO
	Time Range	Struct
	Total Share Statistics	Struct