W tym krótkim wprowadzeniu możesz użyć interfejsu Data API lub interfejsu Admin API.
Uwierzytelnianie może odbywać się za pomocą konta użytkownika lub konta usługi:
W tym krótkim wprowadzeniu utworzysz i wyślesz żądanie runReport.
Oto podsumowanie kroków:
- Skonfiguruj narzędzia i dostęp.
- Włącz interfejs API.
- Zainstaluj pakiet SDK.
- Wywołaj interfejs API.
Zanim zaczniesz
Zainstaluj i zainicjuj gcloud CLI.
Aby przyznać kontu usługi niezbędne zakresy i połączyć je z instancją maszyny wirtualnej, uruchom to polecenie:
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"W interfejsie Google Analytics przyznaj kontu usługi dostęp do usługi w Google Analytics.
Włączanie interfejsu Data API
Aby wybrać lub utworzyć projekt Google Cloud i włączyć interfejs API, kliknij Włącz interfejs Google Analytics Data API w wersji 1.
Włączanie interfejsu Google Analytics Data API w wersji 1Zainstaluj pakiet SDK
Zainstaluj pakiet SDK dla swojego języka programowania.
Java
PHP
Python
Node.js
.NET
Ruby
Go
go get google.golang.org/genproto/googleapis/analytics/data/v1beta
REST
Skonfiguruj zmienne środowiskowe, wpisując te wartości.
Zastąp PROJECT_ID identyfikatorem projektu Google Cloud, a PROPERTY_ID – identyfikatorem usługi w Google Analytics.
export PROJECT_ID=PROJECT_IDexport PROPERTY_ID=PROPERTY_ID
Wywoływanie interfejsu API
Aby sprawdzić konfigurację i wykonać wywołanie interfejsu API, uruchom ten przykład.
Ten przykład wywołuje metodę runReport. Odpowiedź zawiera listę aktywnych użytkowników Twojej usługi.
Aby zainstalować wszystkie przykłady kodu interfejsu Analytics API, zajrzyj na GitHub.
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
Aby wysłać to żądanie, uruchom polecenie curl w wierszu poleceń lub uwzględnij wywołanie REST w swojej aplikacji.
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
Oto przykładowa odpowiedź w formacie JSON:
{
"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"
}