Google Ads Connector for Azure Data Factory (SSIS)

Read / write Google Ads data inside your app (e.g. Campaigns, Ad Groups, Keywords, Spending, Performance); perform many Google Ads operations without coding, just using easy to use high performance API Connector for Google Ads

In this article you will learn how to quickly and efficiently integrate Google Ads data in Azure Data Factory (SSIS) without coding. We will use high-performance Google Ads Connector to easily connect to Google Ads and then access the data inside Azure Data Factory (SSIS).

Let's follow the steps below to see how we can accomplish that!

Download Documentation

Google Ads Connector for Azure Data Factory (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 Google Ads in other apps

Connect to Google Ads in SSIS

Connect to Google Ads in SQL Server

Connect to Google Ads in Power BI

Connect to Google Ads in SSRS

Connect to Google Ads in Informatica

Connect to Google Ads in MS Access

Connect to Google Ads in MS Excel

Connect to Google Ads in SSAS

Connect to Google Ads in C#

Connect to Google Ads in Python

Connect to Google Ads in JAVA

Connect to Google Ads in Tableau

Connect to Google Ads in SAP Crystal Reports

Connect to Google Ads in Azure Data Factory (Pipeline)

Connect to Google Ads in Talend Studio

Connect to Google Ads in UiPath

Connect to Google Ads in PowerShell

Connect to Google Ads in ODBC

Create SSIS package

First of all, create an SSIS package, which will connect to Google Ads in SSIS. Once you do that, you are one step closer to deploying and running it in Azure-SSIS integration runtime in Azure Data Factory (ADF). Then simply proceed to the next step - creating and configuring Azure Blob Storage Container.

Prepare custom setup files for Azure-SSIS runtime

Now it's time to start preparing custom setup files for Azure-SSIS runtime. During Azure-SSIS runtime creation you can instruct ADF to perform a custom setup on a VM (Azure-SSIS node); i.e. to run the custom installer, copy files, execute PowerShell scripts, etc. In that case, your custom setup files are downloaded and run in the Azure-SSIS node (a VM) when you start the runtime. In this section we will prepare custom setup files so that you can run SSIS packages with SSIS PowerPack connectors inside in Azure-SSIS runtime.

Read more on Azure-SSIS runtime custom setup in Microsoft Azure Data Factory reference.

Trial Users

Use the step below if you are a Trial User, when you did not purchase a license key. Proceed with these steps:

Download SSIS PowerPack trial installer.
Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit_Trial.msi.
Create a text file and name it main.cmd (make it all lowercase, very important).

Copy and paste this script into it and save it:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"

echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit_Trial.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_trial_install_log.txt"

echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"

echo DONE : %TIME% >> "%DIR%\steps_log.txt"

echo complete

This is the entry-point script that is executed when Azure-SSIS runtime is started.

At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit_Trial.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Paid Customers

Use the steps below if you are a Paid Customer, when you purchased a license. Proceed with these steps:

Download SSIS PowerPack paid installer.
Make sure you don't rename the installer and keep it named as SSISPowerPackSetup_64bit.msi.
Have your SSIS PowerPack license key handy, we will need it in the below script.
Create a text file and name it main.cmd (make it all lowercase, very important).
Copy and paste the below script into it.
Paste your license key by replacing parameter's --register argument with your real license key.

Finally, save main.cmd:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"

echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"

echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"

::Activate PowerPack license (Optional)
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --register "lgGAAO0-----REPLACE-WITH-YOUR-LICENSE-KEY-----czM=" --logfile "%DIR%\powerpack_register_log.txt"

::Show System Info
echo Calling Step 4 : %TIME% >> "%DIR%\steps_log.txt"
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"

echo Calling Step 5 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"

echo DONE : %TIME% >> "%DIR%\steps_log.txt"

echo complete

This is the entry-point script that is executed when Azure-SSIS runtime is started.

At last! You are ready to upload these two files — main.cmd & SSISPowerPackSetup_64bit.msi — into your Azure Blob Storage container's folder, which we will do in the Upload custom setup files to Azure Blob Storage container step.

Upload custom setup files to Azure Blob Storage container

Within Azure Blob Storage container we will store custom setup files we prepared in the previous step so that Azure-SSIS can use them in custom setup process. Just perform these very simple, but very important steps:

Create Azure Blob Storage container, if you haven't done it already
Make sure you create and use Azure Blob Storage container instead of Azure Data Lake Storage folder. Azure Data Lake Storage won't allow creating an SAS URI for the container, which is a crucial step in the process.
Find Blob Containers node, right-click on it and hit Create Blob Container option:
Upload the two custom setup files — main.cmd & the MSI installer — into your Azure Blob Storage container's folder:
It was easy, wasn't it? It's time we create an SAS URI in the next step.

Create SAS URI for Azure Blob Container

Once you have custom setup files prepared, it's time we generate an SAS URI. This SAS URI will be used by a new Azure-SSIS runtime to install SSIS PowerPack inside the runtime's node, a VM. Let's proceed together by performing the steps below:

Install and launch Azure Storage Explorer.
Right-click on the Storage Accounts node and then hit Connect to Azure storage... menu item:
Proceed by right-clicking on that container node and select Get Shared Access Signature... option.
Next, set the Expiry time field to a date far in the future.
If you restart Azure-SSIS runtime and your SAS URI is expired by that time, it will not start.
Select Read, Create, Write, and List permissions:
We also recommend to add Delete permission too to support future functionality.
Copy SAS URL to the clipboard and save it for the next step: You can also generate and copy SAS URL from within Azure Portal itself:

Create Azure-SSIS integration runtime

Once you have the SAS URL we obtained in the previous step, we are ready to move on to create an Azure-SSIS runtime in Azure Data Factory:

Firstly, perform the steps described in Create an Azure-SSIS integration runtime article in Azure Data Factory reference.
In Advanced settings page section, configure Custom setup container SAS URI you obtained in the previous step:
And you are done! That was quick! You can see your Azure-SSIS runtime up and running:

The custom setup script is executed only once — at the time an Azure-SSIS runtime is started.

It is also executed if you stop and start Azure-SSIS runtime again.

Deploy SSIS package in Visual Studio

We are ready to deploy the SSIS package to Azure-SSIS runtime. Once you do that, proceed to the next step for the grand finale!

Execute SSIS package in SQL Server Management Studio (SSMS)

After all hard work, we are ready to execute SSIS package in SQL Server Management Studio (SSMS):

Connect to the SQL Server which is linked to your Azure-SSIS runtime and contains SSISDB database.
Navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and hit Execute...:
To view the status of the past execution, navigate to Integration Services Catalog » Your Folder » Your Project » Your Package, right-click on it, and select Reports » Standard Reports » All Executions menu item:

Scenarios

Moving SSIS PowerPack license to another Azure-SSIS runtime

If you are a Paid Customer, there will be a time when you no longer use Azure-SSIS runtime or you need to use your license on a different ADF instance. To transfer a license from one Azure-SSIS runtime to another, perform these steps:

Copy & paste this script into main.cmd we used in the previous step:

set DIR=%CUSTOM_SETUP_SCRIPT_LOG_DIR%

echo Calling Step 1 : %TIME% >> "%DIR%\steps_log.txt"
dir /s /b > "%DIR%\file_list.txt"
 
echo Calling Step 2 : %TIME% >> "%DIR%\steps_log.txt"

::Install SSIS PowerPack
msiexec /i  "SSISPowerPackSetup_64bit.msi" ADDLOCAL=ALL /q  /L*V "%DIR%\powerpack_install_log.txt"
 
echo Calling Step 3 : %TIME% >> "%DIR%\steps_log.txt"
 
::De-Activate same license
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -p SSISPowerPack --unregister --logfile "%DIR%\powerpack_un_register_log.txt"
 
::Show System Info
echo Calling Step 4 : %TIME% >> "%DIR%\steps_log.txt"
"C:\Program Files (x86)\ZappySys\SSIS PowerPack (64 bit)\LicenseManager.exe" -i -l "%DIR%\sysinfo_log.txt"
 
echo Calling Step 5 : %TIME% >> "%DIR%\steps_log.txt"
dir "C:\Program Files\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
dir "C:\Program Files (x86)\Microsoft SQL Server\*Zappy*.*"  /s /b >> "%DIR%\installed_files.txt"
 
echo DONE : %TIME% >> "%DIR%\steps_log.txt"
 
echo complete

Start Azure-SSIS runtime.
This will unregister your license on the original Azure-SSIS runtime.
Stop Azure-SSIS runtime to deallocate resources in Azure.
Now you are free to activate it on another Azure-SSIS runtime.

Advanced topics

Actions supported by Google Ads Connector

Google Ads Connector support following actions for REST API integration. If some actions are not listed below then you can easily edit Connector file and enhance out of the box functionality.

Get Report: Campaign Performance (By Date)

Get campaign performance data by date. If you like to customize this report then use get_query_result endpoint. [ Read more... ]

Get Report: Campaign Performance (By Year and Month)

Get campaign performance data by year and month. If you like to customize this report then use get_query_result endpoint. [ Read more... ]

Query Google Ads data (Using GAQL - Google Ads Query Language)

Get Google Ads report data using GAQL (Google Ads Query Language) SQL query. Use Query builder from this link to select fields, segments, and metrics https://developers.google.com/google-ads/api/fields/v18/overview_query_builder (Click on Resource type you like to query) for SELECT, FROM and ORDER BY [ Read more... ]

Parameter

Description

Filter

Option	Value
$.results[*]	$.results[*]
$.results[*].campaign	$.results[*].campaign
$.results[*].customer	$.results[*].customer
$.results[*].anything_here	$.results[*].anything_here

Enter Query (i.e. GAQL sql)

Get Resources (For GAQL)

Get resources you can query for GAQL [ Read more... ]

Get Resource Segments (For GAQL)

Get segments (Group By Fields) for all or selected resource using GAQL [ Read more... ]

Parameter	Description
Resource

Get Resource Metrics (For GAQL)

Get metrics you can query (for all or selected resource) using GAQL, Numeric fields which can be aggregated (e.g. clicks, impressions) [ Read more... ]

Parameter	Description
Resource

Get Resource Attributes (For GAQL)

Get attributes you can query (for all or selected resource) using GAQL [ Read more... ]

Parameter	Description
Resource

Get Resource Data (Query Attributes, Segments, Metrics)

Get Google Ads resource data without supplying GAQL, easy to use Query Builder to fetch data from any object by its Resource name. [ Read more... ]

Parameter

Description

Filter

Option	Value
$.results[*]	$.results[*]
$.results[*].campaign	$.results[*].campaign
$.results[*].customer	$.results[*].customer
$.results[*].anything_here	$.results[*].anything_here

Resource

Attributes (Leave blank to select all)

Segments (Group By)

Metrics (Aggregate Fields)

Where Clause

Option	Value
Example1	segments.date DURING LAST_30_DAYS
Example2	segments.date > '<>' AND segments.date < '<>'
Example3	metrics.impressions > 10 AND segments.date > '<>' AND segments.date < '<>'
Example4	campaign.status='ENABLED' AND metrics.impressions > 10 AND segments.date > '<>' AND segments.date < '<>'

OrderBy Clause

Option	Value
Example1	segments.date
Example2	segments.date DESC
Example3	segments.year DESC,segments.month ASC

Limit Clause (i.e. Max Rows) - Blank means all rows

Option	Value
Example1 (All Rows - Keep Blank)
Example2	1000

Get Linked Customers (For Manager Account)

Get Linked Customers (Must be using Manager Account) [ Read more... ]

Get Customers

Get Google Ads customer data [ Read more... ]

Get Campaigns

Get Google Ads campaign data [ Read more... ]

Get Campaign Keywords

Get Campaign Keywords (For all AdGroup) [ Read more... ]

Generic Request

This is generic endpoint. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL. [ Read more... ]

Parameter

Description

Url

API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains

Body

Request Body content goes here

IsMultiPart

Set this option if you want to upload file(s) using either raw file data (i.e., POST raw file data) or send data using the multi-part encoding method (i.e. Content-Type: multipart/form-data). A multi-part request allows you to mix key/value pairs and upload files in the same request. On the other hand, raw upload allows only a single file to be uploaded (without any key/value data). ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload a single file in raw mode, check this option and specify the full file path starting with the @ sign in the Body (e.g. @c:\data\myfile.zip) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your request data as multi-part fields, you must specify key/value pairs separated by new lines in the RequestData field (i.e., Body). Each key/value pair should be entered on a new line, and key/value are separated using an equal sign (=). Leading and trailing spaces are ignored, and blank lines are also ignored. If a field value contains any special character(s), use escape sequences (e.g., for NewLine: \r\n, for Tab: \t, for at (@): @). When the value of any field starts with the at sign (@), it is automatically treated as a file you want to upload. By default, the file content type is determined based on the file extension; however, you can supply a content type manually for any field using this format: [YourFileFieldName.Content-Type=some-content-type]. By default, file upload fields always include Content-Type in the request (non-file fields do not have Content-Type by default unless you supply it manually). If, for some reason, you don't want to use the Content-Type header in your request, then supply a blank Content-Type to exclude this header altogether (e.g., SomeFieldName.Content-Type=). In the example below, we have supplied Content-Type for file2 and SomeField1. All other fields are using the default content type. See the example below of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data, then manually set Request Header => Content-Type: multipart/mixed (it must start with multipart/ or it will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle

Filter

Enter filter to extract array from response. Example: $.rows[*] --OR-- $.customers[*].orders[*]. Check your response document and find out hierarchy you like to extract

Option	Value
No filter
Example1	$.store.books[*]
Example2 (Sections Under Books)	$.store.books[].sections[]
Example3 (Equals)	$.store.books[?(@author=='sam')]
Example4 (Equals - Any Section)	$..[?(@author=='sam')]
Example5 (Not Equals - Any Section)	$..[?(@author!='sam')]
Example6 (Number less than)	$.store.books[?(@.price<10)] Example7 (Regular Expression - Contains Pattern)=$.store.books[?(@author=~ /sam\|bob/ )]
Example8 (Regular Expression - Does Not Contain Pattern)	$.store.books[?(@author=~ /^((?!sam\|bob).)*$/ )]
Example9 (Regular Expression - Exact Pattern Match)	$.store.books[?(@author=~ /^sam\|bob$/ )]
Example10 (Regular Expression - Starts With)	$.store.books[?(@author=~ /^sam/ )]
Example11 (Regular Expression - Ends With)	$.store.books[?(@author=~ /sam$/ )]
Example12 (Between)	$.store.employees[?( @.hiredate>'2015-01-01' && @.hiredate<'2015-01-04' )]

Headers

Headers for Request. To enter multiple headers use double pipe or new line after each {header-name}:{value} pair

Generic Request (Bulk Write)

This is a generic endpoint for bulk write purpose. Use this endpoint when some actions are not implemented by connector. Just enter partial URL (Required), Body, Method, Header etc. Most parameters are optional except URL. [ Read more... ]

Parameter	Description
Url	API URL goes here. You can enter full URL or Partial URL relative to Base URL. If it is full URL then domain name must be part of ServiceURL or part of TrustedDomains
IsMultiPart	Set this option if you want to upload file(s) using either raw file data (i.e., POST raw file data) or send data using the multi-part encoding method (i.e. Content-Type: multipart/form-data). A multi-part request allows you to mix key/value pairs and upload files in the same request. On the other hand, raw upload allows only a single file to be uploaded (without any key/value data). ==== Raw Upload (Content-Type: application/octet-stream) ===== To upload a single file in raw mode, check this option and specify the full file path starting with the @ sign in the Body (e.g. @c:\data\myfile.zip) ==== Form-Data / Multipart Upload (Content-Type: multipart/form-data) ===== To treat your request data as multi-part fields, you must specify key/value pairs separated by new lines in the RequestData field (i.e., Body). Each key/value pair should be entered on a new line, and key/value are separated using an equal sign (=). Leading and trailing spaces are ignored, and blank lines are also ignored. If a field value contains any special character(s), use escape sequences (e.g., for NewLine: \r\n, for Tab: \t, for at (@): @). When the value of any field starts with the at sign (@), it is automatically treated as a file you want to upload. By default, the file content type is determined based on the file extension; however, you can supply a content type manually for any field using this format: [YourFileFieldName.Content-Type=some-content-type]. By default, file upload fields always include Content-Type in the request (non-file fields do not have Content-Type by default unless you supply it manually). If, for some reason, you don't want to use the Content-Type header in your request, then supply a blank Content-Type to exclude this header altogether (e.g., SomeFieldName.Content-Type=). In the example below, we have supplied Content-Type for file2 and SomeField1. All other fields are using the default content type. See the example below of uploading multiple files along with additional fields. If some API requires you to pass Content-Type: multipart/form-data rather than multipart/form-data, then manually set Request Header => Content-Type: multipart/mixed (it must start with multipart/ or it will be ignored). file1=@c:\data\Myfile1.txt file2=@c:\data\Myfile2.json file2.Content-Type=application/json SomeField1=aaaaaaa SomeField1.Content-Type=text/plain SomeField2=12345 SomeFieldWithNewLineAndTab=This is line1\r\nThis is line2\r\nThis is \ttab \ttab \ttab SomeFieldStartingWithAtSign=\@MyTwitterHandle
Filter	Enter filter to extract array from response. Example: $.rows[] --OR-- $.customers[].orders[*]. Check your response document and find out hierarchy you like to extract
Headers	Headers for Request. To enter multiple headers use double pipe (\|\|) or new line after each {header-name}:{value} pair

Conclusion

In this article we showed you how to connect to Google Ads in Azure Data Factory (SSIS) and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Google Ads, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Google Ads Connector for Azure Data Factory (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 Google Ads Connector for Azure Data Factory (SSIS) Documentation

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Download Google Ads Connector for Azure Data Factory (SSIS) Documentation

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