Get website statistics using PHP and Google Analytics API
When operating a website on the Internet, statistical data is a very important task. Through the analysis of website access data, website administrators can understand users' access to the website, user behavior habits and the optimization direction of the website. Google Analytics is a popular website analytics tool used by many webmasters. In addition to accessing the Google Analytics website through the website to view analysis reports, we can also obtain website statistics by using the Google Analytics API and PHP, and embed them into the website's management backend, making it easier for us to analyze website data. .
This article will introduce how to use PHP and Google Analytics API to obtain website statistics.
1. Create Google Analytics API Credentials
First, we need to create a Google Analytics API credential, which will be used to authorize us to use the Google Analytics API to obtain website statistics.
Create a project in the Google API console and add the Google Analytics API to the project. Then create a Service Account Key in the Credentials tab, select New Service Account, and assign a role to the account. Download the key file in JSON format to your local computer.
2. Install the Google API client library
The Google API client library can simplify our interaction with the Google API. We can use composer to install it. Navigate to our project directory on the command line and use the following command to install the Google API client library.
composer require google/apiclient:^2.0
3. Get data from the website using Google Analytics API
In our PHP code, we need to use the Google API client library to authenticate and get from the Google Analytics API data. Let’s write a simple script to get traffic data for a website using the Google Analytics API.
<?php require_once __DIR__ . '/vendor/autoload.php'; $client = new Google_Client(); $serviceCredentials = __DIR__ . '/beagle-experience-service-account.json'; $client->setAuthConfig($serviceCredentials); $client->addScope(Google_Service_Analytics::ANALYTICS_READONLY); $analytics = new Google_Service_Analytics($client); $profileId = 'ga:XXXXXXXX'; //将此更改为您网站的View ID $startDate = "30daysAgo"; //设置开始日期 $endDate = "today"; //设置结束日期 //调用API以检索网站分析数据 $metrics = "ga:users"; //要检索的指标 $results = $analytics->data_ga->get($profileId, $startDate, $endDate, $metrics); $rows = $results->getRows(); if (count($rows) > 0) { $users = $rows[0][0]; echo "The number of users for the last 30 days is: " . $users; } else { echo 'No data found'; }
In the above code, we first use the Google API client library for authentication. What we need to do is specify in the code the path to the API credentials file we have saved on our local machine.
Then, we create an instance of the Google Analytics API using the Google_Service_Analytics class. Next, we need to specify the view ID of the website, set the time range of the data, and the indicator. Here we choose "number of users" as the indicator.
Finally, by calling the $data_ga->get() method, we can retrieve the user count data from the Google Analytics API and store it in the $results object.
4. Display website data in the management background
For website administrators, it is very convenient to embed website statistical data into the website's management background. We can use the code we wrote in the example above. Use ajax technology to display website data in the specified location in the management backend.
The above is a brief introduction to using PHP and Google Analytics API to obtain website statistics. By reading this article, you can learn how to get Google Analytics API credentials and get website statistics by using Google API and PHP. Our sample code makes it easy to display your website data in your website's admin.
The Google Analytics API contains a large amount of data and provides complete data mining tools, so you are free to display and analyze the data however you want. This will help you better understand your visitors, adjust your website for optimization and gain more insights from user behavior.
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