Home Backend Development PHP Tutorial Using the Google Analytics API with PHP: Logging In

Using the Google Analytics API with PHP: Logging In

Feb 19, 2025 pm 12:19 PM

This series demonstrates using the Google Analytics API with PHP to access Google Analytics data. While Laravel and Homestead Improved are used in the example, the concepts apply to other frameworks and environments.

Key Concepts:

  • The Google Analytics API requires a Google Developers Console project with the Google Analytics API enabled. API credentials (client ID, client secret, developer key) are essential.
  • The API comprises several components: Management API (account, property, view configuration), Metadata API (dimension, metric lists), Core Reporting API (dashboard data), Real Time Reporting API (real-time data – beta), Embed API (dashboard embedding), and MCF Reporting API (multi-channel funnels). This tutorial focuses on the Management, Metadata, and Core Reporting APIs.
  • The Google_Client class handles authentication and token retrieval. It requires configuration with client ID, client secret, developer key, redirect URI, and scopes.
  • API usage is subject to quotas (requests per day/second). Monitor usage via the Google Cloud Console.

Prerequisites:

  • A Google Analytics account.
  • Familiarity with the Google Analytics dashboard.

Application Overview:

This tutorial builds a simplified Google Analytics Explorer clone, focusing on core functionality and extensibility.

Google Analytics API Details:

The Google Analytics API's key components are:

  • Management API: Accesses Google Analytics configuration data (accounts, properties, views, goals).
  • Metadata API: Retrieves lists of dimensions and metrics, avoiding hardcoding.
  • Core Reporting API: Accesses dashboard data; the primary API for most tasks.
  • Real Time Reporting API (Beta): Accesses real-time data (currently in beta).
  • Embed API: Allows embedding dashboards in websites using JavaScript.
  • MCF Reporting API: Provides Multi-Channel Funnels data.

This tutorial uses the Management, Metadata, and Core Reporting APIs.

Basic API Usage:

  1. Create a project in the Google Developers Console.
  2. Enable the Google Analytics API.
  3. Obtain API credentials (client ID, client secret, developer key). Create a new client ID (Web Application type), specifying your website URL (e.g., localhost:8000 for development) and redirect URI. Generate a browser key (optional: specify HTTP referrers or leave blank for any origin).

Using the Google Analytics API with PHP: Logging In

Using the Google Analytics API with PHP: Logging In

Using the Google Analytics API with PHP: Logging In

Using the Google Analytics API with PHP: Logging In

API Limits and Quotas:

Be aware of API request limits (per day, per second). Refer to the official documentation for details.

Project Setup (Laravel Example):

  1. Add "google/api-client": "dev-master" to composer.json and run composer update.
  2. Create app/config/analytics.php with API credentials:

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return [

    'app_name'          => 'Your app name',

    'client_id'         => 'Your Client ID',

    'client_secret'     => 'Your Client Secret',

    'api_key'           => 'Your API Key'

];

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  1. Create app/src/GA_Service.php for API interaction logic:

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<?php

 

namespace App\Src;

 

use Config;

use Google_Client;

use Session;

use Input;

use View;

 

class GA_Service {

    private $client;

 

    public function __construct(Google_Client $client) {

        $this->client = $client;

        $this->init();

    }

 

    private function init() {

        $this->client->setClientId(Config::get('analytics.client_id'));

        $this->client->setClientSecret(Config::get('analytics.client_secret'));

        $this->client->setDeveloperKey(Config::get('analytics.api_key'));

        $this->client->setRedirectUri('http://localhost:8000/login'); // Adjust as needed

        $this->client->setScopes(['https://www.googleapis.com/auth/analytics']);

    }

 

    public function isLoggedIn() {

        if (isset($_SESSION['token'])) {

            $this->client->setAccessToken($_SESSION['token']);

            return true;

        }

        return false;

    }

 

    public function login($code) {

        $this->client->authenticate($code);

        $token = $this->client->getAccessToken();

        $_SESSION['token'] = $token;

        return $token;

    }

 

    public function getLoginUrl() {

        return $this->client->createAuthUrl();

    }

 

    // Add methods for data retrieval, etc. here...

}

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  1. Add app/src to the autoload -> classmap in composer.json and run composer dump-autoload.

  2. Modify app/controllers/HomeController.php (or your equivalent controller):

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<?php

 

use App\Src\GA_Service;

 

class HomeController extends BaseController {

    private $ga;

 

    public function __construct(GA_Service $ga) {

        $this->ga = $ga;

    }

 

    public function index() {

        if ($this->ga->isLoggedIn()) {

            // Show home page with data

            return "You are logged in!"; // Replace with actual data display

        } else {

            $url = $this->ga->getLoginUrl();

            return View::make('login', ['url' => $url]);

        }

    }

 

    public function login() {

        if (Input::has('code')) {

            $code = Input::get('code');

            $token = $this->ga->login($code);

            return "Login successful! Token: " . $token; // Replace with redirection

        } else {

            return "Invalid request parameters";

        }

    }

}

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  1. Update your routes in app/routes.php:

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Route::get('/', 'HomeController@index');

Route::get('/login', 'HomeController@login');

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  1. Create a login.blade.php view:

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<a href="https://www.php.cn/link/846437e17a8d1d5f37fe3bb0e1762499">Login with Google</a>

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This completes the basic setup. The next steps would involve adding functions to GA_Service.php to actually retrieve data using the Google Analytics API. Remember to handle potential errors appropriately. The provided code is a foundation upon which to build a more complete application. Consult the Google Analytics API documentation for details on making specific data requests.

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