Query ConstantContact Data as a SQL Server Database in Node.js

You can use CData Connect AI to query ConstantContact data through a SQL Server interface. Follow the procedure below to create a virtual database for ConstantContact in Connect AI and start querying using Node.js.

CData Connect AI provides a pure MySQL, cloud-to-cloud interface for ConstantContact, allowing you to easily query live ConstantContact data in Node.js — without replicating the data to a natively supported database. As you query data in Node.js, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to ConstantContact, leveraging server-side processing to quickly return ConstantContact data.

Configure ConstantContact Connectivity for NodeJS

Connectivity to ConstantContact from NodeJS is made possible through CData Connect AI. To work with ConstantContact data from NodeJS, we start by creating and configuring a ConstantContact connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "ConstantContact" from the Add Connection panel

3. Enter the necessary authentication properties to connect to ConstantContact.

   Start by setting the Profile connection property to the location of the ConstantContact Profile on disk (e.g. C:\profiles\ConstantContact.apip). Next, set the ProfileSettings connection property to the connection string for Profile (see below).

   ConstantContact API Profile Settings

   ConstantContact uses OAuth-based authentication.

   First, register an OAuth application with ConstantContact. You can do so from the ConstantContact API Guide (https://v3.developer.constantcontact.com/api_guide/index.html), under "MyApplications" > "New Application". Your Oauth application will be assigned a client id (API Key) and you can generate a client secret (Secret).

   After setting the following connection properties, you are ready to connect:

   • AuthScheme: Set this to OAuth.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
   • OAuthClientId: Set this to the client_id that is specified in you app settings.
   • OAuthClientSecret: Set this to the client_secret that is specified in you app settings.
   • CallbackURL: Set this to the Redirect URI you specified in your app settings.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add ConstantContact Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to ConstantContact data from Node.js.

Query ConstantContact from Node.js

The following example shows how to define a connection and execute queries to ConstantContact with the SQL Server module. You will need the following information:

• server: tds.cdata.com
• port: 14333
• user: a Connect AI user (e.g. [email protected])
• password: the PAT for the above user
• database: The connection you configured for ConstantContact (API1)

Connect to ConstantContact data and start executing queries with the code below:

var sql = require('mssql')
var config = {
	server: 'tds.cdata.com',
	port: 14333, 
	user: '[email protected]', //update me
	password: 'CONNECT_USER_PAT', //update me	
	options: {
		encrypt: true,
		database: 'API1'
	}
}

sql.connect(config, err => { 
    if(err){
        throw err ;
    }
    new sql.Request().query('SELECT * FROM Contacts', (err, result) => {
        console.dir(result)
    })
        
});

sql.on('error', err => {
    console.log("SQL Error: " ,err);
})