PowerShell Scripting to Replicate Salesforce Pardot Data to MySQL

The CData Cmdlets for Salesforce Pardot offer live access to Salesforce Pardot 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 Salesforce Pardot and the CData Cmdlets for MySQL in PowerShell to replicate Salesforce Pardot data to a MySQL database.

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

Salesforce Pardot supports connecting through API Version, Username, Password and User Key.

• ApiVersion: The Salesforce Pardot API version which the provided account can access. Defaults to 4.
• User: The Username of the Salesforce Pardot account.
• Password: The Password of the Salesforce Pardot account.
• UserKey: The unique User Key for the Salesforce Pardot account. This key does not expire.
• IsDemoAccount (optional): Set to TRUE to connect to a demo account.

Accessing the Pardot User Key

The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.

Collecting Salesforce Pardot Data

1. Install the module:

   Install-Module SalesforcePardotCmdlets

2. Connect to Salesforce Pardot:

   $salesforcepardot = Connect-SalesforcePardot -ApiVersion $ApiVersion -User $User -Password $Password -UserKey $UserKey

3. Retrieve the data from a specific resource:

   $data = Select-SalesforcePardot -Connection $salesforcepardot -Table "Prospects"

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

   $data = Invoke-SalesforcePardot -Connection $salesforcepardot -Query 'SELECT * FROM Prospects WHERE ProspectAccountId = @ProspectAccountId' -Params @{'@ProspectAccountId'='703'}

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

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

Inserting Salesforce Pardot 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 Salesforce Pardot 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 Salesforce Pardot resource (Prospects) and to exist in the database.

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

You have now replicated your Salesforce Pardot data to a MySQL database. This gives you freedom to work with Salesforce Pardot 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 Salesforce Pardot and MySQL in PowerShell, you can pipe command results to perform the replication in a single line:

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

• If you wish to replicate the Salesforce Pardot 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-SalesforcePardot 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')}