FastSpring Connector for SSIS Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding. In this article you will learn how to quickly and efficiently integrate FastSpring data in SSIS without coding. We will use high-performance FastSpring Connector to easily connect to FastSpring and then access the data inside SSIS. Let's follow the steps below to see how we can accomplish that! Download Documentation FastSpring Connector for SSIS is based on ZappySys API Connector Framework which is a part of SSIS PowerPack. It is a collection of high-performance SSIS connectors that enable you to integrate data with virtually any data provider supported by SSIS, including SQL Server. SSIS PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few (if you are new to SSIS and SSIS PowerPack, find out more on how to use them).

Connect to FastSpring in other apps Connect to FastSpring in SQL Server Connect to FastSpring in Power BI Connect to FastSpring in SSRS Connect to FastSpring in Informatica Connect to FastSpring in MS Access Connect to FastSpring in MS Excel Connect to FastSpring in SSAS Connect to FastSpring in C# Connect to FastSpring in Python Connect to FastSpring in JAVA Connect to FastSpring in Tableau Connect to FastSpring in SAP Crystal Reports Connect to FastSpring in Azure Data Factory (Pipeline) Connect to FastSpring in Azure Data Factory (SSIS) Connect to FastSpring in Talend Studio Connect to FastSpring in UiPath Connect to FastSpring in PowerShell Connect to FastSpring in ODBC

Video Tutorial - Integrate FastSpring data in SSIS

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for FastSpring integration in SSIS
• How to configure the connection for FastSpring
• Features of the ZappySys API Source (Authentication / Query Language / Examples / Driver UI)
• How to use the FastSpring in SSIS

Prerequisites

Before we begin, make sure the following prerequisites are met:

1. SSIS designer installed. Sometimes it is referred as BIDS or SSDT (download it from Microsoft).
2. Basic knowledge of SSIS package development using Microsoft SQL Server Integration Services.
3. SSIS PowerPack is installed (if you are new to SSIS PowerPack, then get started!).

Read data from FastSpring in SSIS (Export data)

1. Begin with opening Visual Studio and Create a New Project.

2. Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.

3. In the new SSIS project screen you will find the following:

   1. SSIS ToolBox on left side bar
   2. Solution Explorer and Property Window on right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window in the bottom
   
   Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link.

4. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.

   

5. From the SSIS toolbox drag and API Source (Predefined Templates) on the data flow designer surface, and double click on it to edit it:
   

6. Select New Connection to create a new connection:
   

7. Use a preinstalled FastSpring Connector from Popular Connector List or press Search Online radio button to download FastSpring Connector. Once downloaded simply use it in the configuration:
   

   FastSpring

   

8. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    API Credentials [Http]

   Steps how to get and use FastSpring credentials : API Credentials [Http]
   

   Here is how to obtain FastSpring API credentials:

   1. In the FastSpring portal, navigate to Developer Tools > APIs > API Credentials.
   2. Click Create, FastSpring will automatically generate your Username and Password. Copy them, we will need them in the next step:
      WARNING: Securely store the credentials for future reference.
   3. Now go to SSIS package or ODBC data source and use this token in API Credentials authentication configuration:
      • In the UserName field paste the Username value you copied in the previous step.
      • In the Password field paste the Password value you copied in the previous step.
   4. Click Test Connection to confirm the connection is working.
   5. Done! Now you are ready to use FastSpring Connector!

   
   Configuring authentication parameters
   

   FastSpring

   API Credentials [Http]

   https://api.fastspring.com

   Required Parameters
   UserName	Fill-in the parameter...
   Password	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   Your Webstore URL	https://YOUR-STORE.onfastspring.com

   

9. Select the desired endpoint, change/pass the properties values, and click on Preview Data button to make the API call.

   API Source - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   

10. That's it! We are done! Just in a few clicks we configured the call to FastSpring using FastSpring Connector.

    You can load the source data into your desired destination using the Upsert Destination, which supports SQL Server, PostgreSQL, and Amazon Redshift. We also offer other destinations such as CSV, Excel, Azure Table, Salesforce, and more. You can check out our SSIS PowerPack Tasks and components for more options. (*loaded in Trash Destination)

    

Write data to FastSpring using SSIS (Import data)

Step-by-step instructions

In upper section we learned how to read data, now in this section we will learn how to configure FastSpring in the API Source to POST data to the FastSpring.

1. Read the data from the source, being any desired source component. In example we will use ZappySys Dummy Data Source component.

2. From the SSIS Toolbox drag and drop API Destination (Predefined Templates) on the Data Flow Designer surface and connect source component with it, and double click to edit it.
   

3. Select New Connection to create a new connection:
   

   API Destination - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   

4. Use a preinstalled FastSpring Connector from Popular Connector List or press Search Online radio button to download FastSpring Connector. Once downloaded simply use it in the configuration:
   

   FastSpring

   

5. Proceed with selecting the desired Authentication Type. Then select API Base URL (in most cases default one is the right one). Finally, fill in all the required parameters and set optional parameters if needed. You may press a link Steps to Configure which will help set certain parameters. More info is available in Authentication section.

    API Credentials [Http]

   Steps how to get and use FastSpring credentials : API Credentials [Http]
   

   Here is how to obtain FastSpring API credentials:

   1. In the FastSpring portal, navigate to Developer Tools > APIs > API Credentials.
   2. Click Create, FastSpring will automatically generate your Username and Password. Copy them, we will need them in the next step:
      WARNING: Securely store the credentials for future reference.
   3. Now go to SSIS package or ODBC data source and use this token in API Credentials authentication configuration:
      • In the UserName field paste the Username value you copied in the previous step.
      • In the Password field paste the Password value you copied in the previous step.
   4. Click Test Connection to confirm the connection is working.
   5. Done! Now you are ready to use FastSpring Connector!

   
   Configuring authentication parameters
   

   FastSpring

   API Credentials [Http]

   https://api.fastspring.com

   Required Parameters
   UserName	Fill-in the parameter...
   Password	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   Your Webstore URL	https://YOUR-STORE.onfastspring.com

   

6. Select the desired endpoint, change/pass the properties values, and go to the Mappings tab to map the columns.

   API Destination - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   

7. Finally, map the desired columns:

   API Destination - FastSpring

   Read / write FastSpring data related to Orders, Subscriptions, Quotes, Products, Accounts and more without coding.

   

8. That's it; we successfully configured the POST API Call. In a few clicks we configured the FastSpring API call using ZappySys FastSpring Connector

   

Load FastSpring data into SQL Server using Upsert Destination (Insert or Update)

Once you configured the data source, you can load FastSpring data into SQL Server using Upsert Destination.

Upsert Destination can merge or synchronize source data with the target table. It supports Microsoft SQL Server, PostgreSQL, and Redshift databases as targets. Upsert Destination also supports very fast bulk upsert operation along with bulk delete.

1. From the SSIS Toolbox drag-and-drop Upsert Destination component onto the Data Flow designer background.

2. Connect your SSIS source component to Upsert Destination.

3. Double-click on Upsert Destination component to open configuration window.

4. Start by selecting the Action from the list.

5. Next, select the desired target connection or create one by clicking <New [provider] Connection> menu item from the Target Connection dropdown.

6. Then select a table from the Target Table list or click New button to create a new table based on the source columns.

7. Continue by checking Insert and Update options according to your scenario (e.g. if Update option is unchecked, no updates will be made).

8. Finally, click Map All button to map all columns and then select the Key columns to match the columns on:

   

9. Click OK to save the configuration.

10. Run the package and FastSpring data will be merged with the target table in SQL Server, PostgreSQL, or Redshift:

    

11. Done!

Deploy and schedule SSIS package

After you are done creating SSIS package, most likely, you want to deploy it to SQL Server Catalog and run it periodically. Just follow the instructions in this article:

• How to design, debug, deploy, schedule SSIS Package (In SQL Agent and Catalog)

Running SSIS package in Azure Data Factory (ADF)

To use SSIS PowerPack in ADF, you must first prepare Azure-SSIS Integration Runtime. Follow this link for detailed instructions:

• Preparing ADF instance to use SSIS PowerPack

Actions supported by FastSpring Connector

FastSpring Connector supports following actions for REST API integration:

Conclusion

In this article we showed you how to connect to FastSpring in SSIS and integrate data without any coding, saving you time and effort.

We encourage you to download FastSpring Connector for SSIS and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download FastSpring Connector for SSIS Documentation

More integrations

Other connectors for SSIS

Amazon Ads

Amazon Athena

Amazon Selling Partner (SP-API)

Apache Derby

Apache Hive

Apache Spark

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

Google Ads

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Infor Data Lake

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

MariaDB

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Starburst

Stripe

Trino

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Google Analytics

HTML Table

Build your own Custom API Connector

Other application integration scenarios for FastSpring

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC