YouTube Connector for Alteryx : Make generic REST API request (bulk write) via SQL

Integrate Alteryx and YouTube
Integrate Alteryx and YouTube

Learn how to make generic REST API request (bulk write) using the YouTube Connector for Alteryx. This connector enables you to read and write YouTube data effortlessly. Integrate, manage, and automate videos, playlists, channels, and analytics — almost no coding required. We'll walk you through the exact setup.

Let's dive in!

Create data source using YouTube ODBC Driver

  1. Download and install ODBC PowerPack (if you haven't already).

  2. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source

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

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
    • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this

  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
    ODBC DSN Template Selection

  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

    YouTube authentication
    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
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to API Key [Http]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    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
    ODBC DSN HTTP Connection Configuration

    User Account

    YouTube authentication
    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.
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to User Account [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Press Generate Token button to generate the tokens.
    5. Finally, hit OK button:
    YoutubeDSN
    YouTube
    User Account [OAuth]
    https://youtube.googleapis.com/youtube/v3
    Required Parameters
    UseCustomApp Fill-in the parameter...
    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)
    ODBC DSN OAuth Connection Configuration

    Service Account (Using *.json OR *.p12 key file)

    YouTube authentication
    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)
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to Service Account (Using *.json OR *.p12 key file) [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    YoutubeDSN
    YouTube
    Service Account (Using *.json OR *.p12 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
    ODBC DSN OAuth Connection Configuration

  6. Then go to Preview tab to start building a SQL query.

  7. Once you do that, proceed by opening Query Builder:

    ZappySys API Driver - YouTube
    Read and write YouTube data effortlessly. Integrate, manage, and automate videos, playlists, channels, and analytics — almost no coding required.
    YoutubeDSN
    Open Query Builder in API ODBC Driver to read and write data to REST API

  8. Then simply select the Make Generic REST API Request (Bulk Write) endpoint (action).

  9. Continue by configuring the Required parameters. You can also set optional parameters too.

  10. Move on by hitting Preview Data button to preview the results.

  11. If you see the results you need, simply copy the generated query:

    Make Generic REST API Request (Bulk Write)
    Optional Parameters
    Url /something/123
    IsMultiPart
    Filter
    Headers Accept: */* || Cache-Control: no-cache
    Advanced Properties
    Request Method POST
    Request Format (Content-Type) Default
    Body {$rows$}
    JsonOutputFormat Multicontent
    DoNotOutputNullProperty
    Batch Size (Default=1) 1
    Meta Detection Order StaticDynamicVirtual
    Input Columns - For Mapping (e.g. MyCol1:string(10); MyCol2:int32 ...) - Use bool, int32, int64, datetime, decimal, double
    Output Columns (e.g. MyCol1:string(10); MyCol2:int32 ...) - Use bool, int32, int64, datetime, decimal, double
    Request Format
    Response Format Default
    Csv - Column Delimiter ,
    Csv - Row Delimiter {NEWLINE}
    Csv - Quote Around Value True
    Csv - Always Quote regardless type
    Encoding
    CharacterSet
    Writer DateTime Format
    Csv - Has Header Row True
    Xml - ElementsToTreatAsArray
    Layout Map <?xml version="1.0" encoding="utf-8"?> <!-- Example#1: Output all columns --> <settings> <dataset id="root" main="True" readfrominput="True" /> <map src="*" /> </settings> <!-- Example#2: Records under array <?xml version="1.0" encoding="utf-8"?> <settings singledataset="True"> <dataset id="root" main="True" readfrominput="True" /> <map name="MyArray" dataset="root" maptype="DocArray"> <map src="OrderID" name="OrderID" /> <map src="OrderDate" name="OrderDate" /> </map> </settings> --> <!-- Example#3: Records under nested section <?xml version="1.0" encoding="utf-8"?> <settings> <dataset id="dsRoot" main="True" readfrominput="True" /> <map name="NestedSection"> <map src="OrderID" name="OrderID_MyLabel" /> <map src="OrderDate" name="OrderDate_MyLabel" /> </map> </settings> --> 
    SELECT * FROM __DynamicRequest__
WITH
(
    "Url" = '/something/123',
    "RequestMethod" = 'POST'
)
    Query Builder

  12. Click OK to use built SQL query and close the Query Builder.

  13. 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 Alteryx:

    ZappySys API Driver - YouTube
    Read and write YouTube data effortlessly. Integrate, manage, and automate videos, playlists, channels, and analytics — almost no coding required.
    YoutubeDSN
    SELECT * FROM __DynamicRequest__
WITH
(
    "Url" = '/something/123',
    "RequestMethod" = 'POST'
)
    API ODBC Driver-based data source data preview
    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).

Let's not stop here and explore SQL query examples, including how to use them in Stored Procedures and Views (virtual tables) in the next steps.

YouTube SQL query examples

Use these SQL queries in your Alteryx data source:

Make generic rest api request 

SELECT * FROM __DynamicRequest__
WITH
(
    "Url" = '/something/123',
    "RequestMethod" = 'POST'
)

generic_request_bulk_write endpoint belongs to __DynamicRequest__ table(s), and can therefore be used via those table(s).

Create SQL view in ODBC data source

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

  1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
    ZappySys Driver - Add Table

  2. Enter the desired Table name and click on OK:
    ZappySys Driver - Add Table Name

  3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

  4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
    Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here 

    SELECT
  "ShipCountry",
  "OrderID",
  "CustomerID",
  "EmployeeID",
  "OrderDate",
  "RequiredDate",
  "ShippedDate",
  "ShipVia",
  "Freight",
  "ShipName",
  "ShipAddress",
  "ShipCity",
  "ShipRegion",
  "ShipPostalCode"
FROM "Orders"
Where "ShipCountry"='USA'

    ZappySys Driver - Create Custom Table

  5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only: 

    SELECT * FROM "vt__usa_orders_only"
    ZappySys Driver - Execute Custom Virtual Table Query

Make generic REST API request in Alteryx via SQL view

  1. Open Alteryx Designer.

  2. First, verify your DCM Settings to ensure you can access ODBC drivers. Go to Options > User Settings > Edit User Settings.

    If DCM Mode is set to DCM Only, change it to DCM Optional if you would like to access the legacy Generic ODBC Connection.

    Alteryx DCM User Settings for ODBC access
    After changing this setting, you may need to click Save and restart the connection window for the "Generic ODBC" icon to appear.

  3. Drag an Input Data tool onto your Alteryx canvas.

    Drag Input Data tool onto Alteryx canvas

  4. In the Configuration pane, click Set Up a Connection.

    Set Up a Connection in Alteryx Input Data configuration

  5. Note for DCM Users: If your environment has DCM (Data Connection Manager) enabled, the classic "Generic ODBC" icon may be hidden. To find it, select Data sources on the left and type "ODBC" in the search bar.

  6. Once the ODBC window opens, click Connect Asset and select your YoutubeDSN DSN from the list.

    Connect Asset and select ODBC DSN in Alteryx
    Ensure you have configured a 64-bit System DSN in the Windows ODBC Data Source Administrator before this step.

  7. After selecting your DSN, configure your SQL Query in the Input Data tool configuration:

    Configure SQL Query in Alteryx Input Data tool

  8. To save your data, drag an Output Data tool and connect it to the Input Data tool.

  9. Configure the Output Data tool to write to a CSV file:

    Configure Output Data to CSV in Alteryx

  10. Press Run (Ctrl+R) to execute the workflow. Verify the results in the Results Window at the bottom.

    Run Alteryx workflow and view results

Advanced topics

Creating SQL stored procedures

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

  1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
    ZappySys Driver - Add Stored Procedure

  2. Enter the desired Procedure name and click on OK:
    ZappySys Driver - Add Stored Procedure Name

  3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver. Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here 

    CREATE PROCEDURE [usp_get_orders]
    @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
 AS
    SELECT * FROM Orders where OrderDate >= '<@fromdate>';
    ZappySys Driver - Create Custom Stored Procedure

  4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01: 

    Exec usp_get_orders '1996-01-01';
    ZappySys Driver - Execute Custom Stored Procedure

Conclusion

And there you have it — a complete guide on how to make generic REST API request (bulk write) in Alteryx without writing complex code. All of this was powered by YouTube ODBC Driver, which handled the REST API pagination and authentication for us automatically.

Download the trial now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

Download Chat

More actions supported by YouTube Connector

Got another use case in mind? We've documented the exact setups for a variety of essential YouTube operations directly in Alteryx, so you can skip the trial and error. Find your next step-by-step guide below:

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