Ready to get started?

Learn more or sign up for a free trial:

CData Connect Server

Query Pinterest Data as a SQL Server in Node.js



Execute SQL Server queries against Pinterest data from Node.js.

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

CData Connect Server provides a pure SQL Server interface for Pinterest, allowing you to easily build reports from live Pinterest data in Node.js — without replicating the data to a natively supported database. As you build visualizations, Node.js generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Pinterest, leveraging server-side processing to quickly return the requested Pinterest data.

Create a Virtual SQL Server Database for Pinterest Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "Pinterest" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Pinterest.

    Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

    Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

    See the Help documentation for other OAuth authentication flows.

  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Pinterest data from Node.js.

Query Pinterest from Node.js

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

  • Host name, or address, and port: The address of your Connect Server instance and the port (1433)
  • Username and password: The username and password of a user you authorized on Connect Server
  • Database name: The database you configured for Pinterest (Pinterest1)

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

const sql = require('mssql');

const config = {
    user: 'your_connect_username', 
    password: 'your_connect_password', 
    server: 'connect_server_url', 
    port: 1433, // optional, defaults to 1433
    database: 'Pinterest1',
    authentication: {
        type: 'default'
    },
    options: {
        encrypt: true
    }
}

console.log("Starting...");
connectAndQuery();

async function connectAndQuery() {
    try {
        var poolConnection = await sql.connect(config);

        console.log("Reading rows from the table...");
        var resultSet = await poolConnection.request().query(`SELECT * FROM table_name`);

        console.log(`${resultSet.recordset.length} rows returned.`);

        // output column headers
        var columns = "";
        for (var column in resultSet.recordset.columns) {
            columns += column + ", ";
        }
        console.log("%s	", columns.substring(0, columns.length - 2));

        // ouput row contents from default record set
        resultSet.recordset.forEach(row => {
            console.log("%s	%s", row.CategoryName, row.ProductName);
        });

        // close connection only when we're certain application is finished
        poolConnection.close();
    } catch (err) {
        console.error(err.message);
    }
}

SQL Server Access to Pinterest Data from Node.js

You have retrieved live Pinterest Data using Node.js. Now, you can easily access data sources and more — all without replicating Pinterest data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.