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Natively Connect to YouTube Analytics Data in PHP


The CData ODBC driver for YouTube Analytics enables you to create PHP applications with connectivity to YouTube Analytics data. Leverage the native support for ODBC in PHP.

Drop the CData ODBC Driver for YouTube Analytics into your LAMP or WAMP stack to build YouTube Analytics-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to YouTube Analytics data, execute queries, and output the results.

Configure a DSN

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

Establish a Connection

Open the connection to YouTube Analytics by calling the odbc_connect or odbc_pconnect methods. To close connections, use odbc_close or odbc_close_all.

$conn = odbc_connect("CData ODBC YouTubeAnalytics Source","user","password");

Connections opened with odbc_connect are closed when the script ends. Connections opened with the odbc_pconnect method are still open after the script ends. This enables other scripts to share that connection when they connect with the same credentials. By sharing connections among your scripts, you can save system resources, and queries execute faster.

$conn = odbc_pconnect("CData ODBC YouTubeAnalytics Source","user","password"); ... odbc_close($conn); //persistent connection must be closed explicitly

Create Prepared Statements

Create prepared statements and parameterized queries with the odbc_prepare function.

$query = odbc_prepare($conn, "SELECT * FROM Groups WHERE Mine = ?");

Execute Queries

Execute prepared statements with odbc_execute.

$conn = odbc_connect("CData ODBC YouTubeAnalytics Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Groups WHERE Mine = ?"); $success = odbc_execute($query, array('True'));

Execute nonparameterized queries with odbc_exec.

$conn = odbc_connect("CData ODBC YouTubeAnalytics Source","user","password"); $query = odbc_exec($conn, "SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups");

Process Results

Access a row in the result set as an array with the odbc_fetch_array function.

$conn = odbc_connect("CData ODBC YouTube Analytics data Source","user","password"); $query = odbc_exec($conn, "SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups"); while($row = odbc_fetch_array($query)){ echo $row["Snippet_Title"] . "\n"; }

Display the result set in an HTML table with the odbc_result_all function.

$conn = odbc_connect("CData ODBC YouTube Analytics data Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Groups WHERE Mine = ?"); $success = odbc_execute($query, array('True')); if($success) odbc_result_all($query);

More Example Queries

You will find complete information on the driver's supported SQL in the help documentation. The code examples above are YouTube Analytics-specific adaptations of the PHP community documentation for all ODBC functions.

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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.

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