PowerShell Scripting to Replicate Monday.com Data to MySQL

The CData Cmdlets for Monday.com offer live access to Monday.com data from within PowerShell. Using PowerShell scripts, you can easily automate regular tasks like data replication. This article will walk through using the CData Cmdlets for Monday.com and the CData Cmdlets for MySQL in PowerShell to replicate Monday.com data to a MySQL database.

After obtaining the needed connection properties, accessing Monday.com data in PowerShell and preparing for replication consists of four basic steps.

You can connect to Monday.com using either API Token authentication or OAuth authentication.

Connecting with an API Token

Connect to Monday.com by specifying the APIToken. Set the AuthScheme to Token and obtain the APIToken as follows:

• API tokens for admin users
  1. Log in to your Monday.com account and click on your avatar in the bottom left corner.
  2. Select Admin.
  3. Select "API" on the left side of the Admin page.
  4. Click the "Copy" button to copy the user's API token.
• API tokens for non-admin users
  1. Click on your profile picture in the bottom left of your screen.
  2. Select "Developers"
  3. Click "Developer" and then "My Access Tokens" at the top.
  4. Select "Show" next to the API token, where you'll be able to copy it.

Connecting with OAuth Authentication

Alternatively, you can establish a connection using OAuth (refer to the OAuth section of the Help documentation).

Collecting Monday.com Data

1. Install the module:

   Install-Module MondayCmdlets

2. Connect to Monday.com:

   $monday = Connect-Monday -APIToken $APIToken

3. Retrieve the data from a specific resource:

   $data = Select-Monday -Connection $monday -Table "Invoices"

   You can also use the Invoke-Monday cmdlet to execute pure SQL-92 statements:

   $data = Invoke-Monday -Connection $monday -Query 'SELECT * FROM Invoices WHERE Status = @Status' -Params @{'@Status'='SENT'}

4. Save a list of the column names from the returned data.

   $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name

Inserting Monday.com Data into the MySQL Database

With the data and column names collected, you are ready to replicate the data into a MySQL database.

1. Install the module:

   Install-Module MySQLCmdlets

2. Connect to MySQL, using the server address and port of the MySQL server, valid user credentials, and a specific database with the table in which the data will be replicated:

   $mysql = Connect-MySQL -User $User -Password $Password -Database $Database -Server $Server -Port $Port

3. Loop through the Monday.com data, store the values, and use the Add-MySQL cmdlet to insert the data into the MySQL database, one row at a time. In this example, the table will need to have the same name as the Monday.com resource (Invoices) and to exist in the database.

   $data | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Invoices" -Columns $columns -Values $values }

You have now replicated your Monday.com data to a MySQL database. This gives you freedom to work with Monday.com data in the same way that you work with other MySQL tables, whether that is performing analytics, building reports, or other business functions.

Notes

• Once you have connected to Monday.com and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

  Select-Monday -Connection $monday -Table "Invoices" | % { $row = $_ $values = @() $columns | % { $col = $_ $values += $row.$($col) } Add-MySQL -Connection $mysql -Table "Invoices" -Columns $columns -Values $values }

• If you wish to replicate the Monday.com data to another database using another PowerShell module, you will want to exclude the Columns, Connection, and Table columns from the data returned by the Select-Monday cmdlet since those columns are used to help pipe data from one CData cmdlet to another:

  $columns = ($data | Get-Member -MemberType NoteProperty | Select-Object -Property Name).Name | ? {$_ -NotIn @('Columns','Connection','Table')}