Building a YouTube API Stats Processing Model with PHP

Build a YouTube stats processor with PHP & the API - Get and display video data with YouTubeModel.❤💚❤

Building a YouTube API Stats Processing Model with PHP
Building a YouTube API Stats Processing Model with PHP

Table of Contents:

  • Introduction
  • Prerequisites
  • Setting Up the Project
  • Creating the YouTubeModel Class
  • Retrieving Video Statistics
  • Displaying the Results
  • Conclusion

Introduction:

This article will guide you through the process of building a PHP project that uses the YouTube Data API to fetch statistics data and process it. You'll create a model handler that will handle the API requests and data processing, and then you'll create an example index.php file that uses this model to fetch and display statistics data.

Prerequisites:

Before you get started, you'll need to have a few things in place:

  • A Google account and a YouTube channel
  • A YouTube Data API key
  • PHP installed on your computer

Setting Up the Project:

The first step is to set up the project by creating a config.php file with your API key.

Creating the YouTubeModel Class:

Next, you'll create a model.php file that contains the YouTubeModel class. This class has a constructor that sets the API key, and a getVideoStatistics method that takes a YouTube video ID as input and returns an array of statistics data for that video.

Retrieving Video Statistics:

With the YouTubeModel class in place, you can use it to fetch statistics data for a given video by calling the getVideoStatistics method.

Displaying the Results:

Finally, you'll create an example index.php file that uses the YouTubeModel class to fetch and display statistics data for a specific video.

Conclusion:

By following the steps in this article, you should now have a PHP project that can retrieve and process statistics data from the YouTube Data API. You can use this project as a starting point for building more advanced applications that make use of the YouTube API.

A ready-made php code example for displaying YouTube statistics.

First, we'll need to set up our project by creating a config.php file with the following content:

<?php

// Set your API key here
define('API_KEY', 'YOUR_API_KEY_HERE');

Replace YOUR_API_KEY_HERE with your actual YouTube Data API key.

Next, let's create a model.php file that handles the API requests and data processing:

<?php

require_once 'config.php';

class YouTubeModel {
  private $api_key;

  public function __construct() {
    $this->api_key = API_KEY;
  }

  public function getVideoStatistics($video_id) {
    $url = "https://www.googleapis.com/youtube/v3/videos?part=statistics&id=$video_id&key=$this->api_key";
    $response = file_get_contents($url);
    $json = json_decode($response, true);
    return $json['items'][0]['statistics'];
  }
}

This model class has a constructor that sets the API key, and a getVideoStatistics method that takes a YouTube video ID as input and returns an array of statistics data for that video. It uses the file_get_contents function to make an HTTP request to the YouTube Data API and then parses the JSON response.

Now let's create an example index.php file that uses this model to fetch and display statistics data:

<?php

require_once 'model.php';

$model = new YouTubeModel();
$video_id = 'YOUR_VIDEO_ID_HERE';
$statistics = $model->getVideoStatistics($video_id);

echo "<h1>Statistics for Video ID $video_id</h1>";
echo "<ul>";
echo "<li>View Count: " . $statistics['viewCount'] . "</li>";
echo "<li>Like Count: " . $statistics['likeCount'] . "</li>";
echo "<li>Dislike Count: " . $statistics['dislikeCount'] . "</li>";
echo "<li>Comment Count: " . $statistics['commentCount'] . "</li>";
echo "</ul>";

Replace YOUR_VIDEO_ID_HERE with an actual YouTube video ID that you want to fetch statistics data for.

When you run index.php in a web browser, it should display a heading and a list of statistics data for the specified video.

Note that this is just a simple example to get you started. You can modify and expand upon this code to suit your specific needs. You might want to add error handling, caching, or more advanced data processing, for example.

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