YouTube Connector for Power BI Read / write YouTube data inside your app, perform many Youtube operations without coding using easy to use high performance API Connector for YouTube In this article you will learn how to quickly and efficiently integrate YouTube data in Power BI without coding. We will use high-performance YouTube Connector to easily connect to YouTube and then access the data inside Power BI. Let's follow the steps below to see how we can accomplish that! Download Documentation YouTube Connector for Power BI is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

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

Video Tutorial - Integrate YouTube data in Power BI

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 YouTube integration in Power BI
• How to configure the connection for YouTube
• Features of the ZappySys API Driver (Authentication / Query Language / Examples / Driver UI)
• How to use the YouTube in Power BI

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from YouTube using Power BI we first need to create a DSN (Data Source) which will access data from YouTube. We will later be able to read data using Power BI. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
   Power BI uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "YouTube" from the list of Popular Connectors. If "YouTube" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   YoutubeDSN

   YouTube

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    API Key [Http]

   Steps how to get and use YouTube credentials
   This walkthrough will help you create an API Key which you will be able to use in all requests and authenticate accordingly.

   1. Go to Google API Console
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. On Project Popup click CREATE PROJECT
   4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
   5. Click ENABLE APIs AND SERVICES
   6. Now we need to Enable three APIs one by one (YouTube Data API, YouTube Analytics API, YouTube Reporting API).
   7. Search YouTube Data API. Select and click ENABLE
   8. Search YouTube Analytics API. Select and click ENABLE
   9. Search YouTube Reporting API. Select and click ENABLE
   10. Go to back to main screen of Google API Console
   11. Click OAuth Consent Screen Tab. Enter necessary details and Save.
   12. Click Credentials Tab
   13. Click CREATE CREDENTIALS (some where in topbar) and select API key option.
   14. In the popup, copy API Key from the field "Your API key", close this window, and use it in the UI configuration, "key" field

   Fill in all required parameters and set optional parameters if needed:

   YoutubeDSN

   YouTube

   API Key [Http]

   https://youtube.googleapis.com/youtube/v3

   Required Parameters
   key	Fill-in the parameter...
   Optional Parameters
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

    User Account [OAuth]

   Steps how to get and use YouTube credentials
   To register a custom app, perform the following steps (detailed steps found in the help link at the end)

   1. Go to Google API Console
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. On Project Popup click CREATE PROJECT
   4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
   5. Click ENABLE APIs AND SERVICES
   6. Now we need to Enable three APIs one by one (YouTube Data API, YouTube Analytics API, YouTube Reporting API).
   7. Search YouTube Data API. Select and click ENABLE
   8. Search YouTube Analytics API. Select and click ENABLE
   9. Search YouTube Reporting API. Select and click ENABLE
   10. Go to back to main screen of Google API Console
   11. Click OAuth Consent Screen Tab. Enter necessary details and Save.
   12. Click Credentials Tab
   13. Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
   14. When prompted Select Application Type as Desktop App and click Create to receive your ClientID and Secret. Later on you can use this information now to configure Connection.
   15. Go to OAuth Consent Screen tab. Under Publishing Status click PUBLISH APP to ensure your refresh token doesnt expire often. If you planning to use App for Private use then do not have to worry about Verification Status after Publish.

   Fill in all required parameters and set optional parameters if needed:

   YoutubeDSN

   YouTube

   User Account [OAuth]

   https://youtube.googleapis.com/youtube/v3

   Optional Parameters
   ClientId
   ClientSecret
   Scope	https://www.googleapis.com/auth/youtube https://www.googleapis.com/auth/youtube.readonly https://www.googleapis.com/auth/youtubepartner https://www.googleapis.com/auth/youtube.force-ssl https://www.googleapis.com/auth/youtube.upload https://www.googleapis.com/auth/youtubepartner-channel-audit https://www.googleapis.com/auth/yt-analytics-monetary.readonly https://www.googleapis.com/auth/yt-analytics.readonly
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   RetryMultiplyWaitTime	True
   Redirect URL (Only for Web App)

   

    Service Account (Using Private Key File) [OAuth]

   Steps how to get and use YouTube credentials
   Use these steps to authenticate as service account rather than Google / GSuite User. Learn more about service account here

   Basically to call Google API as Service account we need to perform following steps listed in 3 sections (Detailed steps found in the help link at the end)

   Create Project

   First thing is create a Project so we can call Google API. Skip this section if you already have Project (Go to next section)

   1. Go to Google API Console
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. On Project Popup click CREATE PROJECT
   4. Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
   5. Click ENABLE APIs AND SERVICES
   6. Now we need to Enable three APIs one by one (YouTube Data API, YouTube Analytics API, YouTube Reporting API)
   7. Search YouTube Data API. Select and click ENABLE
   8. Search YouTube Analytics API. Select and click ENABLE
   9. Search YouTube Reporting API. Select and click ENABLE

   Create Service Account

   Once Project is created and APIs are enabled we can now create a service account under that project. Service account has its ID which looks like some email ID (not to confuse with Google /Gmail email ID)

   1. Go to Create Service Account
   2. From the Project Dropdown (usually found at the top bar) click Select Project
   3. Enter Service account name and Service account description
   4. For Role, do not select anything for now and Click Continue and then click Done. Next we will create Key.

   Create Key

   Once service account is created we need to create key file (i.e. credentials).

   1. In the Cloud Console, click the email address for the service account that you created.
   2. Click Keys.
   3. Click Add key, then click Create new key.
   4. Click Create and select P12 format. A P12 key file is downloaded to your computer. We will use this file in our API connection.
   5. Click Close.
   6. Now you may use downloaded *.p12 key file as secret file and Service Account Email as Client ID (e.g. some-service-account-name@your-project-id.iam.gserviceaccount.com ).

   Add Permission

   Now last thing is give read/write permission to Service Account. Basically you can create or open Google Sheet and add the Service Account as an editor to it as below.

   1. Copy the email address of your service account we created in previous step (its usually like this some-service-account-name@your-project-id.iam.gserviceaccount.com).
   2. Create or select an existing Google Sheet.
   3. Navigate to Sheet for which you like to give read/write access to Service Account.
   4. Click on the Share button in the top right, and add the email address of the service account as an editor. Here is how to share file(s) with specific people. Juse share with Service Account (use Service Account Email found on previous section)

   Fill in all required parameters and set optional parameters if needed:

   YoutubeDSN

   YouTube

   Service Account (Using Private Key File) [OAuth]

   https://youtube.googleapis.com/youtube/v3

   Required Parameters
   Service Account Email	Fill-in the parameter...
   Service Account Private Key Path (i.e. *.p12)	Fill-in the parameter...
   Optional Parameters
   Scope	https://www.googleapis.com/auth/youtube https://www.googleapis.com/auth/youtube.readonly https://www.googleapis.com/auth/youtubepartner https://www.googleapis.com/auth/youtube.force-ssl https://www.googleapis.com/auth/youtube.upload https://www.googleapis.com/auth/youtubepartner-channel-audit https://www.googleapis.com/auth/yt-analytics-monetary.readonly https://www.googleapis.com/auth/yt-analytics.readonly
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	403|429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - YouTube

   Read / write YouTube data inside your app, perform many Youtube operations without coding using easy to use high performance API Connector for YouTube

   YoutubeDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Power BI to retrieve data from YouTube. Hit OK button to use this query in the next step.

   SELECT * FROM MyVideos

   
   Some parameters configured in this window will be passed to the YouTube API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Power BI:

   

   ZappySys API Driver - YouTube

   Read / write YouTube data inside your app, perform many Youtube operations without coding using easy to use high performance API Connector for YouTube

   YoutubeDSN

   SELECT * FROM MyVideos

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the YouTube API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in YouTube servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read YouTube data in Power BI using ODBC

Importing YouTube data into Power BI from table or view

1. Once you open Power BI Desktop click Get Data to get data from ODBC:
   

2. A window opens, and then search for "odbc" to get data from ODBC data source:
   

3. Another window opens and asks to select a Data Source we already created. Choose YoutubeDSN and continue:

   YoutubeDSN

   

4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

   YoutubeDSN

   

5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!
   

6. Finally, finally, use extracted data from YouTube in a Power BI report:
   

Importing YouTube data into Power BI using SQL query

If you wish to import YouTube data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

YoutubeDSN

SELECT * FROM MyVideos

Using a full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Configuration [Version: 2.0.1.10418]

   ZappySys API Driver - YouTube

   Read / write YouTube data inside your app, perform many Youtube operations without coding using easy to use high performance API Connector for YouTube

   YoutubeDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:
3. Then just paste the connection string into your script:
   YoutubeDSN

   DRIVER={ZappySys API Driver};ServiceUrl=https://youtube.googleapis.com/youtube/v3;

   
4. You are good to go! The script will execute the same way as using a DSN.

Limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

1. Open your ODBC data source.
2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
4. Continue by pasting the copied connection string into a newly created file and save it.
5. Finally, the last step! Just construct a shorter ODBC connection string using this format:

   DRIVER={ZappySys API Driver};SettingsFile=C:\temp\odbc-connection-string.txt

6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.

Editing query for table in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Using parameters in Power BI (dynamic query)

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

1. Firstly, you need to Edit query of your table (see previous section)

2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

   						
                               = Odbc.Query("dsn=YoutubeDSN",
                                            "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                             FROM Products
                                             WHERE UnitPrice > " & Text.From(MyParameter) & "
                                             ORDER BY UnitPrice")
                           
                   

   
   Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery Option rather than Import

So far we have seen how to Import YouTube data into Power BI, but what if you have too much data and you don't want to import but link it. Power BI Offers very useful feature for this scenario. It's called DirectQuery Option. In this section we will explore how to use DirectQuery along with ZappySys Drivers.

Out of the box ZappySys Drivers won't work in ODBC Connection Mode, so you have to use SQL Server Connection rather than ODBC if you wish to use Live data using DirectQuery option. See below step-by-step instructions to enable DirectQuery mode in Power BI for YouTube data.

Basically we will use ZappySys Data Gateway its part of ODBC PowerPack. We will then use Linked Server in SQL Server to Link API Service, then issue OPENROWSET queries from Power BI to SQL Server, and it will then call YouTube via ZappySys Data Gateway.

1. First, create a data source in ZappySys Data Gateway and create a Linked Server based on it.
2. Once SQL Server Linked Server is configured we are ready to issue a SQL query in Power BI.
3. Click Get Data in Power BI, select SQL Server Database
4. Enter your server name and any database name
5. Select Mode as DirectQuery
6. Click on Advanced and enter query like below (we are assuming you have created YouTube Data Source in Data Gateway and defined linked server - change the name below).

   SELECT * FROM OPENQUERY([LS_TO_YOUTUBE_IN_GATEWAY], 'SELECT * FROM MyVideos')

   SELECT * FROM OPENQUERY([LS_TO_YOUTUBE_IN_GATEWAY], 'SELECT * FROM MyVideos')

   

   
   DirectQuery option for Power BI (Read YouTube Data Example using SQL Server Linked Server and ZappySys Data Gateway)

7. Click OK and Load data... That's it. Now your YouTube API data is linked rather than imported.

Publishing Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

   

2. Then select the Workspace you want to publish report to and hit Select button:

   

3. Finally, if everything went right, you will see a window indicating success:

   

   If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refreshing Power BI semantic model (dataset) using On-premises data gateway - and learn how to do that.

Refreshing Power BI semantic model (dataset) using On-premises data gateway

Power BI allows to refresh semantic models which are based on data sources that reside on-premises. This can be achieved using Microsoft On-premises data gateway. There are two types of On-premises gateways:

• Standard Mode
• Personal Mode

Standard Mode supports Power BI and other Microsoft Data Fabric services. It fits perfectly for Enterprise solutions as it installs as a Windows Service and also supports Direct Query feature.

Personal Mode, on the other hand, can be configured faster, but is designed more for home users (you cannot install it as a Windows Service and it does not support DirectQuery). You will find a detailed comparison in the link above.

We recommend to go with Personal Mode for a quick POC solution, but use Standard Mode in production environment.

Below you will find instructions on how to refresh semantic model using both types of gateways.

Refresh using On-premises data gateway (standard mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (standard mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (standard mode):

   

3. Install On-premises data gateway (standard mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Register a new gateway (or migrate an existing one):

   

5. If you are creating a new gateway, name your gateway, enter a Recovery key, and click Configure button:

   

6. Now, let's get back to your semantic model settings in Power BI portal. Refresh the page and you should see your newly created gateway. Click arrow icon and then click on Add to gateway link:

   ODBC{"connectionstring":"dsn=YoutubeDSN"}

   

7. Once you do that, you will create a new gateway connection. Give it a name, set Authentication method, Privacy level, and click Create button:

   dsn=YoutubeDSN

   
   In this example, we used the least restrictive Privacy level.

   If your connection uses a full connection string you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish it.

   On-premises data gateway (personal mode) does not have this limitation.

8. Proceed by choosing the newly created connection:

   ODBC{"connectionstring":"dsn=YoutubeDSN"}

   

9. Finally, you are at the final step where you can refresh the semantic model:

   

Refresh using On-premises data gateway (personal mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (personal mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (personal mode):

   

3. Install On-premises data gateway (personal mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Again, go to your semantic model Settings, expand Data source credentials, click Edit credentials, select Authentication method together with Privacy level, and then click Sign in button:

   dsn=YoutubeDSN

   

5. Finally, you are ready to refresh your semantic model:

   

Actions supported by YouTube Connector

Learn how to perform common YouTube actions directly in Power BI with these how-to guides:

• Get channels
• Get comments
• Get playlist items
• Get playlists
• Get report
• Get video details
• Get videos
• Get videos rating
• Search
• Generic Request
• Generic Request (Bulk Write)

Conclusion

In this article we showed you how to connect to YouTube in Power BI 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 YouTube, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download YouTube Connector for Power BI 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 YouTube Connector for Power BI Documentation

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