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You can use CData Connect AI to query Amazon Marketplace data through a SQL Server interface. Follow the procedure below to create a virtual database for Amazon Marketplace in Connect AI and start querying using Node.js.
CData Connect AI provides a pure MySQL, cloud-to-cloud interface for Amazon Marketplace, allowing you to easily query live Amazon Marketplace 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 Amazon Marketplace, leveraging server-side processing to quickly return Amazon Marketplace data.
Connectivity to Amazon Marketplace from NodeJS is made possible through CData Connect AI. To work with Amazon Marketplace data from NodeJS, we start by creating and configuring a Amazon Marketplace connection.
To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.
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 Amazon Marketplace data from Node.js.
The following example shows how to define a connection and execute queries to Amazon Marketplace with the SQL Server module. You will need the following information:
Connect to Amazon Marketplace 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: 'AmazonMarketplace1'
}
}
sql.connect(config, err => {
if(err){
throw err ;
}
new sql.Request().query('SELECT * FROM Orders', (err, result) => {
console.dir(result)
})
});
sql.on('error', err => {
console.log("SQL Error: " ,err);
})
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