Bu hızlı başlangıç kılavuzunda Data API veya Admin API'yi kullanabilirsiniz.
Kullanıcı hesabı veya hizmet hesabı ile kimlik doğrulaması yapabilirsiniz:
Hesap türü seçin:
Bu hızlı başlangıç kılavuzunda bir runReport isteğinde bulunup göndereceksiniz.
Adımların özetini aşağıda bulabilirsiniz:
- Araçları ve erişimi ayarlayın.
- API'yi etkinleştirin.
- Bir SDK yükleyin.
- API çağrısı yapma.
Başlamadan önce
gcloud CLI'yi yükleyin ve başlatın.
Hizmet hesabınıza gerekli kapsamları vermek ve hesabınızı sanal makine örneğinize bağlamak için aşağıdakileri çalıştırın:
gcloud compute instances stop VM-INSTANCE-NAME gcloud compute instances set-service-account VM-INSTANCE-NAME \ --service-account SERVICE-ACCOUNT-EMAIL \ --scopes="https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/analytics.readonly"Google Analytics kullanıcı arayüzünde, hizmet hesabına bir Google Analytics mülküne erişim izni verin.
Data API'yi etkinleştirme
Google Cloud projesi seçmek veya oluşturmak ve API'yi etkinleştirmek için Google Analytics Data API v1'i etkinleştir'i tıklayın.
Google Analytics Data API v1'i etkinleştirmeBir SDK yükleyin
Programlama diliniz için SDK'yı yükleyin.
Java
PHP
Python
Node.js
.NET
Ruby
Go
go get google.golang.org/genproto/googleapis/analytics/data/v1beta
REST
Aşağıdakileri girerek ortam değişkenlerinizi yapılandırın.
PROJECT_ID değerini Google Cloud projenizin kimliğiyle, PROPERTY_ID değerini ise Google Analytics mülkünüzünün kimliğiyle değiştirin.
export PROJECT_ID=PROJECT_IDexport PROPERTY_ID=PROPERTY_ID
API çağrısı yapma
Kurulumunuzu doğrulamak ve API çağrısı yapmak için aşağıdaki örneği çalıştırın.
Bu örnekte runReport yöntemi çağrılır. Yanıt, mülkünüzdeki etkin kullanıcıları listeler.
Tüm Analytics API kod örneklerini yüklemek için GitHub sayfamıza bakın.
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.Row; import com.google.analytics.data.v1beta.RunReportRequest; import com.google.analytics.data.v1beta.RunReportResponse; /** * Google Analytics Data API sample quickstart application. * * <p>This application demonstrates the usage of the Analytics Data API using service account * credentials. * * <p>Before you start the application, please review the comments starting with "TODO(developer)" * and update the code to use correct values. * * <p>To run this sample using Maven: * * <pre>{@code * cd google-analytics-data * mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.QuickstartSample" * }</pre> */ public class QuickstartSample { public static void main(String... args) throws Exception { /** * TODO(developer): Replace this variable with your Google Analytics 4 property ID before * running the sample. */ String propertyId = "YOUR-GA4-PROPERTY-ID"; sampleRunReport(propertyId); } // This is an example snippet that calls the Google Analytics Data API and runs a simple report // on the provided GA4 property id. static void sampleRunReport(String propertyId) throws Exception { // Using a default constructor instructs the client to use the credentials // specified in GOOGLE_APPLICATION_CREDENTIALS environment variable. try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) { RunReportRequest request = RunReportRequest.newBuilder() .setProperty("properties/" + propertyId) .addDimensions(Dimension.newBuilder().setName("city")) .addMetrics(Metric.newBuilder().setName("activeUsers")) .addDateRanges(DateRange.newBuilder().setStartDate("2020-03-31").setEndDate("today")) .build(); // Make the request. RunReportResponse response = analyticsData.runReport(request); System.out.println("Report result:"); // Iterate through every row of the API response. for (Row row : response.getRowsList()) { System.out.printf( "%s, %s%n", row.getDimensionValues(0).getValue(), row.getMetricValues(0).getValue()); } } } }
PHP
require 'vendor/autoload.php'; use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\RunReportRequest; /** * TODO(developer): Replace this variable with your Google Analytics 4 * property ID before running the sample. */ $property_id = 'YOUR-GA4-PROPERTY-ID'; // Using a default constructor instructs the client to use the credentials // specified in GOOGLE_APPLICATION_CREDENTIALS environment variable. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $property_id) ->setDateRanges([ new DateRange([ 'start_date' => '2020-03-31', 'end_date' => 'today', ]), ]) ->setDimensions([new Dimension([ 'name' => 'city', ]), ]) ->setMetrics([new Metric([ 'name' => 'activeUsers', ]) ]); $response = $client->runReport($request); // Print results of an API call. print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { print $row->getDimensionValues()[0]->getValue() . ' ' . $row->getMetricValues()[0]->getValue() . PHP_EOL; }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( DateRange, Dimension, Metric, RunReportRequest, ) def sample_run_report(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a simple report on a Google Analytics 4 property.""" # TODO(developer): Uncomment this variable and replace with your # Google Analytics 4 property ID before running the sample. # property_id = "YOUR-GA4-PROPERTY-ID" # Using a default constructor instructs the client to use the credentials # specified in GOOGLE_APPLICATION_CREDENTIALS environment variable. client = BetaAnalyticsDataClient() request = RunReportRequest( property=f"properties/{property_id}", dimensions=[Dimension(name="city")], metrics=[Metric(name="activeUsers")], date_ranges=[DateRange(start_date="2020-03-31", end_date="today")], ) response = client.run_report(request) print("Report result:") for row in response.rows: print(row.dimension_values[0].value, row.metric_values[0].value)
Node.js
/** * TODO(developer): Uncomment this variable and replace with your * Google Analytics 4 property ID before running the sample. */ // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Using a default constructor instructs the client to use the credentials // specified in GOOGLE_APPLICATION_CREDENTIALS environment variable. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a simple report. async function runReport() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dateRanges: [ { startDate: '2020-03-31', endDate: 'today', }, ], dimensions: [ { name: 'city', }, ], metrics: [ { name: 'activeUsers', }, ], }); console.log('Report result:'); response.rows.forEach((row) => { console.log(row.dimensionValues[0], row.metricValues[0]); }); } runReport();
.NET
using Google.Analytics.Data.V1Beta; using System; namespace AnalyticsSamples { class QuickStart { static void SampleRunReport(string propertyId="YOUR-GA4-PROPERTY-ID") { /** * TODO(developer): Uncomment this variable and replace with your * Google Analytics 4 property ID before running the sample. */ // propertyId = "YOUR-GA4-PROPERTY-ID"; // Using a default constructor instructs the client to use the credentials // specified in GOOGLE_APPLICATION_CREDENTIALS environment variable. BetaAnalyticsDataClient client = BetaAnalyticsDataClient.Create(); // Initialize request argument(s) RunReportRequest request = new RunReportRequest { Property = "properties/" + propertyId, Dimensions = { new Dimension{ Name="city"}, }, Metrics = { new Metric{ Name="activeUsers"}, }, DateRanges = { new DateRange{ StartDate="2020-03-31", EndDate="today"}, }, }; // Make the request RunReportResponse response = client.RunReport(request); Console.WriteLine("Report result:"); foreach(Row row in response.Rows) { Console.WriteLine("{0}, {1}", row.DimensionValues[0].Value, row.MetricValues[0].Value); } } static int Main(string[] args) { if (args.Length > 0) { SampleRunReport(args[0]); } else { SampleRunReport(); } return 0; } } }
REST
Bu isteği göndermek için komut satırından curl komutunu çalıştırın veya REST çağrısını uygulamanıza ekleyin.
curl -X POST \ -H "Authorization: Bearer $(gcloud auth application-default print-access-token)" \ -H "x-goog-user-project: ${PROJECT_ID}" \ -H "Content-Type: application/json" \ -d ' { "dateRanges": [ { "startDate": "2025-01-01", "endDate": "2025-02-01" } ], "dimensions": [ { "name": "country" } ], "metrics": [ { "name": "activeUsers" } ] }' https://analyticsdata.googleapis.com/v1beta/properties/${PROPERTY_ID}:runReport
JSON biçiminde bir örnek yanıtı aşağıda bulabilirsiniz:
{
"dimensionHeaders": [
{
"name": "country"
}
],
"metricHeaders": [
{
"name": "activeUsers",
"type": "TYPE_INTEGER"
}
],
"rows": [
{
"dimensionValues": [
{
"value": "United States"
}
],
"metricValues": [
{
"value": "3242"
}
]
},
{
"dimensionValues": [
{
"value": "(not set)"
}
],
"metricValues": [
{
"value": "3015"
}
]
},
{
"dimensionValues": [
{
"value": "India"
}
],
"metricValues": [
{
"value": "805"
}
]
}
],
"rowCount": 3,
"metadata": {
"currencyCode": "USD",
"timeZone": "America/Los_Angeles"
},
"kind": "analyticsData#runReport"
}