YouTube Connector for PowerShell

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 PowerShell without coding. We will use high-performance YouTube Connector to easily connect to YouTube and then access the data inside PowerShell.

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

Download Documentation

YouTube Connector for PowerShell 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

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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 ODBC

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

Step-by-step instructions

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

Download and install ODBC PowerPack.
Open ODBC Data Sources (x64):
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.
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

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.

Go to Google API Console
From the Project Dropdown (usually found at the top bar) click Select Project
On Project Popup click CREATE PROJECT
Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
Click ENABLE APIs AND SERVICES
Now we need to Enable three APIs one by one (YouTube Data API, YouTube Analytics API, YouTube Reporting API).
Search YouTube Data API. Select and click ENABLE
Search YouTube Analytics API. Select and click ENABLE
Search YouTube Reporting API. Select and click ENABLE
Go to back to main screen of Google API Console
Click OAuth Consent Screen Tab. Enter necessary details and Save.
Click Credentials Tab
Click CREATE CREDENTIALS (some where in topbar) and select API key option.
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)

Go to Google API Console
From the Project Dropdown (usually found at the top bar) click Select Project
On Project Popup click CREATE PROJECT
Once project is created you can click Select Project to switch the context (You can click on Notification link or Choose from Top Dropdown)
Click ENABLE APIs AND SERVICES
Now we need to Enable three APIs one by one (YouTube Data API, YouTube Analytics API, YouTube Reporting API).
Search YouTube Data API. Select and click ENABLE
Search YouTube Analytics API. Select and click ENABLE
Search YouTube Reporting API. Select and click ENABLE
Go to back to main screen of Google API Console
Click OAuth Consent Screen Tab. Enter necessary details and Save.
Click Credentials Tab
Click CREATE CREDENTIALS (some where in topbar) and select OAuth Client ID option.
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.
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)

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

Go to Create Service Account
From the Project Dropdown (usually found at the top bar) click Select Project
Enter Service account name and Service account description
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).

In the Cloud Console, click the email address for the service account that you created.
Click Keys.
Click Add key, then click Create new key.
Click Create and select P12 format. A P12 key file is downloaded to your computer. We will use this file in our API connection.
Click Close.
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.

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).
Create or select an existing Google Sheet.
Navigate to Sheet for which you like to give read/write access to Service Account.
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

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
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 PowerShell 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.
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 PowerShell:
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).
Click OK to finish creating the data source.

Video Tutorial

Watch this video on YouTube

Read YouTube data in PowerShell

Sometimes, you need to quickly access and work with your YouTube data in PowerShell. Whether you need a quick data overview or the complete dataset, this article will guide you through the process. Here are some common scenarios:

Viewing data in a terminal

Quickly peek at YouTube data
Monitor data constantly in your console

Saving data to a file

Export data to a CSV file so that it can be sliced and diced in Excel
Export data to a JSON file so that it can ingested by other processes
Export data to an HTML file for user-friendly view and easy sharing
Create a schedule to make it an automatic process

Saving data to a database

Store data internally for analysis or for further ETL processes
Create a schedule to make it an automatic process

Sending data to another API

Integrate data with other systems via external APIs

In this article, we will delve deeper into how to quickly view the data in PowerShell terminal and how to save it to a file. But let's stop talking and get started!

Reading individual fields

Open your favorite PowerShell IDE (we are using Visual Studio Code).

Then simply follow these instructions:

"DSN=YoutubeDSN"

Read API data with PowerShell using ODBC DSN in Visual Code

For your convenience, here is the whole PowerShell script:

# Configure connection string and query
$connectionString = "DSN=YoutubeDSN"
$query = "SELECT * FROM Customers"

# Instantiate OdbcDataAdapter and DataTable
$adapter = New-Object System.Data.Odbc.OdbcDataAdapter($query, $connectionString)
$table = New-Object System.Data.DataTable

# Fill the table with data
$adapter.Fill($table)

# Since we know we will be reading just 4 columns, let's define format for those 4 columns, each separated by a tab
$format = "{0}`t{1}`t{2}`t{3}"

# Display data in the console
foreach ($row in $table.Rows)
{
    # Construct line based on the format and individual YouTube fields
    $line = $format -f ($row["CustomerId"], $row["CompanyName"], $row["Country"], $row["Phone"])
    Write-Host $line
}

Access specific YouTube table field using this code snippet:

$field = $row["ColumnName"]

You will find more info on how to manipulate DataTable.Rows property in Microsoft .NET reference.

For demonstration purposes we are using sample tables which may not be available in YouTube.

To read values in a console, save the script to a file and then execute this command inside PowerShell terminal:
You can also use even a simpler command inside the terminal, e.g.:
```
. 'C:\Users\john\Documents\dsn.ps1'
```

Retrieving all fields

However, there might be case, when you want to retrieve all columns of a query. Here is how you do it:

"DSN=YoutubeDSN"

Read all API columns from ODBC data source in PowerShell

Again, for your convenience, here is the whole PowerShell script:

# Configure connection string and query
$connectionString = "DSN=YoutubeDSN"
$query = "SELECT CustomerId, CompanyName, Country, Phone FROM Customers"

# Instantiate OdbcDataAdapter and DataTable
$adapter = New-Object System.Data.Odbc.OdbcDataAdapter($query, $connectionString)
$table = New-Object System.Data.DataTable

# Fill the table with data
$adapter.Fill($table)

# Display data in the console
foreach ($row in $table.Rows) {
    $line = ""
    foreach ($column in $table.Columns) {
        $value = $row[$column.ColumnName]

        # Let's handle NULL values
        if ($value -is [DBNull])
        {
            $value = "(NULL)"
        }
        $line += $value + "`t"
    }
    Write-Host $line
}

You can limit the numbers of lines to retrieve by using a LIMIT keyword in the query, e.g.:

SELECT * FROM Customers LIMIT 10

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:

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
The window opens, telling us the connection string was successfully copied to the clipboard:
Then just paste the connection string into your script:
You are good to go! The script will execute the same way as using a DSN.

Have in mind that a full connection string has length limitations.

Proceed to the next step to find out the details.

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:

Open your ODBC data source.
Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
Continue by pasting the copied connection string into a newly created file and save it.
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
```
Our troubles are over! Now you should be able to use this connection string in PowerShell with no problems.

This feature requires ODBC PowerPack v1.9.0 or later.

Write YouTube data to a file in PowerShell

Save data to a CSV file

Export data to a CSV file so that it can be sliced and diced in Excel:

# Configure connection string and query
$connectionString = "DSN=YoutubeDSN"
$query = "SELECT * FROM Customers"

# Instantiate OdbcDataAdapter and DataTable
$adapter = New-Object System.Data.Odbc.OdbcDataAdapter($query, $connectionString)
$table = New-Object System.Data.DataTable

# Fill the table with data
$adapter.Fill($table)

# Export table data to a file
$table | ConvertTo-Csv -NoTypeInformation -Delimiter "`t" | Out-File "C:\Users\john\saved-data.csv" -Force

Save data to a JSON file

Export data to a JSON file so that it can ingested by other processes (use the above script, but change this part):

# Export table data to a file
$table | ConvertTo-Json | Out-File "C:\Users\john\saved-data.json" -Force

Save data to an HTML file

Export data to an HTML file for user-friendly view and easy sharing (use the above script, but change this part):

# Export table data to a file
$table | ConvertTo-Html | Out-File "C:\Users\john\saved-data.html" -Force

Check useful PowerShell cmdlets other than ConvertTo-Csv, ConvertTo-Json, and ConvertTo-Html for other data manipulation scenarios.

Actions supported by YouTube Connector

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

Conclusion

In this article we showed you how to connect to YouTube in PowerShell 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 PowerShell 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 PowerShell Documentation

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Download YouTube Connector for PowerShell Documentation

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YouTube Connector for PowerShell

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

Step-by-step instructions

API Key [Http]

User Account [OAuth]

Service Account (Using Private Key File) [OAuth]

Create Project

Create Service Account

Create Key

Add Permission

Video Tutorial

Read YouTube data in PowerShell

Reading individual fields

Retrieving all fields

Using a full ODBC connection string

Limitations of using a full connection string

Write YouTube data to a file in PowerShell

Save data to a CSV file

Save data to a JSON file

Save data to an HTML file

Actions supported by YouTube Connector

Conclusion

More integrations

Other connectors for PowerShell

Other application integration scenarios for YouTube

How to connect YouTube in PowerShell?

How to get YouTube data in PowerShell?

How to read YouTube data in PowerShell?

How to load YouTube data in PowerShell?

How to import YouTube data in PowerShell?

How to pull YouTube data in PowerShell?

How to push data to YouTube in PowerShell?

How to write data to YouTube in PowerShell?

How to POST data to YouTube in PowerShell?

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