Query Calendly Data as a SQL Server in Node.js

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

CData Connect Server provides a pure SQL Server interface for Calendly, allowing you to easily build reports from live Calendly 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 Calendly, leveraging server-side processing to quickly return the requested Calendly data.

Create a Virtual SQL Server Database for Calendly 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 "Calendly" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Calendly.

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

   Calendly API Profile Settings

   To authenticate to Calendly, you will need to provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.

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 Calendly data from Node.js.

Query Calendly from Node.js

The following example shows how to define a connection and execute queries to Calendly 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 Calendly (API1)

Connect to Calendly 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: 'API1',
    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 Calendly Data from Node.js

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

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