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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.
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.
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)
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:
<?php
$mysqli = new mysqli("localhost", "user", "password", "CData YouTubeAnalytics Sys","3306");
?>
<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData YouTubeAnalytics Sys;port=3306', 'user', 'password');
?>
With the connection established, you can then access tables. The following steps walk through the example:
$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();
$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;
Download a free trial of the YouTube Analytics ODBC Driver to get started:
Download NowLearn more:
👁 YouTube Analytics IconThe 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.