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You can use CData Connect AI to query Salesforce Pardot data through a SQL Server interface. Follow the procedure below to create a virtual database for Salesforce Pardot in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Salesforce Pardot, allowing you to easily query live Salesforce Pardot data in Node.js โ 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 Salesforce Pardot, leveraging server-side processing to quickly return Salesforce Pardot data.
Connectivity to Salesforce Pardot from NodeJS is made possible through CData Connect AI. To work with Salesforce Pardot data from NodeJS, we start by creating and configuring a Salesforce Pardot connection.
Salesforce Pardot supports connecting through API Version, Username, Password and User Key.
The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.
๐ Configuring a connection (Salesforce is shown)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.
With the connection configured and a PAT generated, you are ready to connect to Salesforce Pardot data from Node.js.
The following example shows how to define a connection and execute queries to Salesforce Pardot with the SQL Server module. You will need the following information:
Connect to Salesforce Pardot 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: 'SalesforcePardot1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Prospects', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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