Access YouTube Analytics Data from MySQL in PHP



Connect to YouTube Analytics through the standard MySQL libraries in PHP.

You can use the CData SQL Gateway and ODBC Driver for YouTube Analytics to access YouTube Analytics data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to connect to YouTube Analytics data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.

Connect to YouTube Analytics Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to YouTube Analytics data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Connect in PHP

The following examples show how to use object-oriented interfaces to connect and execute queries. Initialize the connection object with the following parameters to connect to the virtual MySQL database:

  • Host: Specify the remote host location where the service is running. In this case "localhost" is used for the remote host setting since the service is running on the local machine.
  • Username: Specify the username for a user you authorized on the SQL Gateway's Users tab.
  • Password: Specify the password for the authorized user account.
  • Database Name: Specify the system DSN as the database name.
  • Port: Specify the port the service is running on; port 3306 in this example.

mysqli

<?php
$mysqli = new mysqli("localhost", "user", "password", "CData YouTubeAnalytics Sys","3306");
?>

PDO

<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData YouTubeAnalytics Sys;port=3306', 'user', 'password');
?>

Query in PHP

With the connection established, you can then access tables. The following steps walk through the example:

  1. Query the table; for example, Groups. The results will be stored as an associative array in the $result object.
  2. Iterate over each row and column, printing the values to display in the PHP page.
  3. Close the connection.

mysqli

$result = $mysqli->query("SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups");
while($row = $result->fetch_assoc()) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$mysqli->close();

PDO

$result = $pdo->query("SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$result = null;
$pdo = null;

Ready to get started?

Download a free trial of the YouTube Analytics ODBC Driver to get started:

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Learn more:

YouTube Analytics Icon YouTube Analytics ODBC Driver

The YouTube Analytics ODBC Driver is a powerful tool that allows you to connect with live data from YouTube Analytics, directly from any applications that support ODBC connectivity.

Access YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc. through a standard ODBC Driver interface.