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You can use CData Connect AI to query LinkedIn Ads data through a SQL Server interface. Follow the procedure below to create a virtual database for LinkedIn Ads in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for LinkedIn Ads, allowing you to easily query live LinkedIn Ads 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 LinkedIn Ads, leveraging server-side processing to quickly return LinkedIn Ads data.
Connectivity to LinkedIn Ads from NodeJS is made possible through CData Connect AI. To work with LinkedIn Ads data from NodeJS, we start by creating and configuring a LinkedIn Ads connection.
LinkedIn Ads uses the OAuth authentication standard. OAuth requires the authenticating user to interact with LinkedIn using the browser. See the OAuth section in the Help documentation for a guide.
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 LinkedIn Ads data from Node.js.
The following example shows how to define a connection and execute queries to LinkedIn Ads with the SQL Server module. You will need the following information:
Connect to LinkedIn Ads 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: 'LinkedInAds1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Analytics', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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