Python YouTube Connector In this article you will learn how to integrate YouTube data to Python (live / bi-directional connection to YouTube). Read / write Youtube data inside your app, perform many Youtube operations without coding using easy to use high performance API Connector for Youtube. Using YouTube Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that. Download  Help File  Buy  Driver mentioned in this article is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

See also Connect YouTube in SSIS Connect YouTube in SQL Server Connect YouTube in Power BI Connect YouTube in SSRS Connect YouTube in Informatica Connect YouTube in MS Access Connect YouTube in MS Excel Connect YouTube in SSAS Connect YouTube in C# Connect YouTube in JAVA Connect YouTube in Tableau Connect YouTube in SAP Crystal Reports Connect YouTube in Azure Data Factory (ADF) Connect YouTube in ODBC

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

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

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a User Data Source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

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 to get 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	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

    User Account [OAuth]

   Steps to get 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. You can use this information now to configure Connection.

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

   YouTubeDSN

   YouTube

   User Account [OAuth]

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

   Required Parameters
   Optional Parameters
   ClientId	Fill in the parameter...
   ClientSecret	Fill in the parameter...
   Scope	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

    Service Account (Using Private Key File) [OAuth]

   Steps to get 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	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
   

7. Click OK to finish creating the data source.

Read data in Python from the DSN

1. Python code to get the data:
   

   YouTubeDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
   import pyodbc
   
   conn = pyodbc.connect('DSN=YouTubeDSN')
   
   cursor = conn.cursor() 
   
   #execute query to fetch data from API service
   cursor.execute("SELECT * FROM value") 
   row = cursor.fetchone() 
   while row: 
   print (row[1]) 
   row = cursor.fetchone()
   

4. If you want to avoid to be dependent on a DSN name and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String . Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://services.odata.org/V3/Northwind/Northwind.svc;Provider=OData;AuthName=Http;')
   

Create Custom Store Procedure in ZappySys Driver

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 Store 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:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Store Procedure and write the your desired store procedure and Save it and it will create the custom store 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>';
   

   
   

4. That's it now go to Preview Tab and Execute your Store 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';

   
   

Create Custom Virtual Table in ZappySys Driver

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.

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:
   

2. Enter the desired Table name and click on OK:
   

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'

   
   

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"

   
   

Conclusion

Download YouTube Connector for Python Documentation 

Actions supported by YouTube Connector

Other App Integration scenarios for YouTube

SSIS

SQL Server

Power BI

SSRS

Informatica

MS Access

MS Excel

SSAS

C#

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (ADF)

ODBC

Other Connectors for Python

Zendesk

ManagedEngine ServiceDesk Plus (Zoho)

Zoho CRM

Hubspot

Google Sheets

Stripe

YouTube

Google BigQuery

OneDrive

OData

Amazon Ads

Jira

Zoom

Nativo

Google Drive

SharePoint Online

Amazon MWS

ElasticSearch

Google Calendar

DropBox

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Download YouTube Connector for Python Documentation 

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