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Tworzenie raportu Czas rzeczywisty

Oto przegląd funkcji metody interfejsu API do raportowania w czasie rzeczywistym w Google Analytics Data API w wersji 1. Szczegółowe informacje o tym interfejsie API znajdziesz w dokumentacji interfejsu API.

Zdarzenia pojawiają się w raportach w czasie rzeczywistym w kilka sekund po wysłaniu ich do Google Analytics. Raporty Czas rzeczywisty zawierają zdarzenia i dane o użytkowaniu z okresu od bieżącej chwili do 30 minut wstecz (w przypadku usług w Google Analytics 360 – do 60 minut). Można ich używać w takich zastosowaniach jak liczniki odwiedzających witrynę w czasie rzeczywistym.

Raporty w czasie rzeczywistym obsługują ograniczony podzbiór wymiarów i danych w porównaniu z funkcją podstawowego raportowania w interfejsie Data API w wersji 1.

Funkcje wspólne z raportami podstawowymi

Żądania raportów w czasie rzeczywistym mają tę samą semantykę co żądania raportów podstawowych w przypadku wielu wspólnych funkcji. Na przykład podział na strony, filtry wymiarów i właściwości użytkownika działają w raportach Czas rzeczywisty tak samo jak w raportach podstawowych. Zapoznaj się z omówieniem funkcji podstawowych raportowania w wersji 1 interfejsu Data API, ponieważ pozostała część tego dokumentu będzie dotyczyć funkcji związanych z żądaniami raportów w czasie rzeczywistym.

Zgłoszenie prośby

Aby poprosić o raporty w czasie rzeczywistym, możesz utworzyć obiekt RunRealtimeReportRequest. Zalecamy rozpoczęcie od tych parametrów żądania:

co najmniej 1 prawidłowy wpis w polu dimensions (wymiary);
co najmniej 1 prawidłowy wpis w polu Dane,

Oto przykładowa prośba z zalecanymi polami.

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runRealtimeReport
{
  "dimensions": [{ "name": "country" }],
  "metrics": [{ "name": "activeUsers" }]
}

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunRealtimeReportSample.java

Otwórz w Cloud Shell Wyświetl w GitHubie

import com.google.analytics.data.v1beta.BetaAnalyticsDataClient;
import com.google.analytics.data.v1beta.Dimension;
import com.google.analytics.data.v1beta.DimensionHeader;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.MetricHeader;
import com.google.analytics.data.v1beta.Row;
import com.google.analytics.data.v1beta.RunRealtimeReportRequest;
import com.google.analytics.data.v1beta.RunRealtimeReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the creation of a realtime report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport
 * for more information.
 *
 * <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.RunRealtimeReportSample"
 * }</pre>
 */
public class RunRealtimeReportSample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample.
    String propertyId = "YOUR-GA4-PROPERTY-ID";
    sampleRunRealtimeReport(propertyId);
  }

  // Runs a realtime report on a Google Analytics 4 property.
  static void sampleRunRealtimeReport(String propertyId) throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) {
      RunRealtimeReportRequest request =
          RunRealtimeReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("country"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .build();

      // Make the request.
      RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request);
      printRunRealtimeReportResponse(response);
    }
  }

  // Prints results of a runRealReport call.
  static void printRunRealtimeReportResponse(RunRealtimeReportResponse response) {
    System.out.printf("%s rows received%n", response.getRowsList().size());

    for (DimensionHeader header : response.getDimensionHeadersList()) {
      System.out.printf("Dimension header name: %s%n", header.getName());
    }

    for (MetricHeader header : response.getMetricHeadersList()) {
      System.out.printf("Metric header name: %s (%s)%n", header.getName(), header.getType());
    }

    System.out.println("Report result:");
    for (Row row : response.getRowsList()) {
      System.out.printf(
          "%s, %s%n", row.getDimensionValues(0).getValue(), row.getMetricValues(0).getValue());
    }
  }
}RunRealtimeReportSample.java

PHP

google-analytics-data/src/run_realtime_report.php

Otwórz w Cloud Shell Wyświetl w GitHubie

use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient;
use Google\Analytics\Data\V1beta\Dimension;
use Google\Analytics\Data\V1beta\Metric;
use Google\Analytics\Data\V1beta\MetricType;
use Google\Analytics\Data\V1beta\RunRealtimeReportRequest;
use Google\Analytics\Data\V1beta\RunRealtimeReportResponse;

/**
 * Runs a realtime report on a Google Analytics 4 property.
 * @param string $propertyId Your GA-4 Property ID
 */
function run_realtime_report(string $propertyId)
{
    // Create an instance of the Google Analytics Data API client library.
    $client = new BetaAnalyticsDataClient();

    // Make an API call.
    $request = (new RunRealtimeReportRequest())
        ->setProperty('properties/' . $propertyId)
        ->setDimensions([new Dimension(['name' => 'country'])])
        ->setMetrics([new Metric(['name' => 'activeUsers'])]);
    $response = $client->runRealtimeReport($request);

    printRunRealtimeReportResponse($response);
}

/**
 * Print results of a runRealtimeReport call.
 * @param RunRealtimeReportResponse $response
 */
function printRunRealtimeReportResponse(RunRealtimeReportResponse $response)
{
    printf('%s rows received%s', $response->getRowCount(), PHP_EOL);
    foreach ($response->getDimensionHeaders() as $dimensionHeader) {
        printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL);
    }
    foreach ($response->getMetricHeaders() as $metricHeader) {
        printf(
            'Metric header name: %s (%s)%s',
            $metricHeader->getName(),
            MetricType::name($metricHeader->getType()),
            PHP_EOL
        );
    }

    print 'Report result: ' . PHP_EOL;

    foreach ($response->getRows() as $row) {
        printf(
            '%s %s' . PHP_EOL,
            $row->getDimensionValues()[0]->getValue(),
            $row->getMetricValues()[0]->getValue()
        );
    }
}run_realtime_report.php

Python

google-analytics-data/run_realtime_report.py

Otwórz w Cloud Shell Wyświetl w GitHubie

from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    Dimension,
    Metric,
    RunRealtimeReportRequest,
)

from run_report import print_run_report_response


def run_sample():
    """Runs the sample."""
    # TODO(developer): Replace this variable with your Google Analytics 4
    #  property ID before running the sample.
    property_id = "YOUR-GA4-PROPERTY-ID"
    run_realtime_report(property_id)


def run_realtime_report(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a realtime report on a Google Analytics 4 property."""
    client = BetaAnalyticsDataClient()

    request = RunRealtimeReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="country")],
        metrics=[Metric(name="activeUsers")],
    )
    response = client.run_realtime_report(request)
    print_run_report_response(response)

run_realtime_report.py

Node.js

google-analytics-data/run_realtime_report.js

Otwórz w Cloud Shell Wyświetl w GitHubie

  /**
   * TODO(developer): Uncomment this variable and replace with your GA4
   *   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');

  // Creates a client.
  const analyticsDataClient = new BetaAnalyticsDataClient();

  // Runs a realtime report on a Google Analytics 4 property.
  async function runRealtimeReport() {
    const [response] = await analyticsDataClient.runRealtimeReport({
      property: `properties/${propertyId}`,
      dimensions: [
        {
          name: 'country',
        },
      ],
      metrics: [
        {
          name: 'activeUsers',
        },
      ],
    });
    printRunReportResponse(response);
  }

  runRealtimeReport();

  // Prints results of a runReport call.
  function printRunReportResponse(response) {
    console.log(`${response.rowCount} rows received`);
    response.dimensionHeaders.forEach(dimensionHeader => {
      console.log(`Dimension header name: ${dimensionHeader.name}`);
    });
    response.metricHeaders.forEach(metricHeader => {
      console.log(
        `Metric header name: ${metricHeader.name} (${metricHeader.type})`
      );
    });

    console.log('Report result:');
    response.rows.forEach(row => {
      console.log(
        `${row.dimensionValues[0].value}, ${row.metricValues[0].value}`
      );
    });
  }run_realtime_report.js

Zgłoś odpowiedź

Odpowiedź na raport w czasie rzeczywistym żądania interfejsu API składa się głównie z nagłówka i wierszy. Nagłówek zawiera DimensionHeaders i MetricHeaders, które zawierają listę kolumn w raporcie. Każdy wiersz składa się z elementów DimensionValues i MetricValues dotyczących kolumn w raporcie. Kolejność kolumn jest spójna w żądaniu, nagłówku i każdym wierszu.

Oto przykładowa odpowiedź na powyższe żądanie:

{
  "dimensionHeaders": [
    {
      "name": "country"
    }
  ],
  "metricHeaders": [
    {
      "name": "activeUsers",
      "type": "TYPE_INTEGER"
    }
  ],
  "rows": [
    {
      "dimensionValues": [
        {
          "value": "Japan"
        }
      ],
      "metricValues": [
        {
          "value": "2541"
        }
      ]
    },
    {
      "dimensionValues": [
        {
          "value": "France"
        }
      ],
      "metricValues": [
        {
          "value": "12"
        }
      ]
    }
  ],
  "rowCount": 2
}

Wymiary

Wymiary opisują i grupują dane o zdarzeniach w Twojej witrynie lub aplikacji. Na przykład wymiar city wskazuje miasto („Paryż” lub „Nowy Jork”), z którego pochodzi każde zdarzenie. W prośbie o raport możesz określić 0 lub więcej wymiarów. Pełną listę nazw wymiarów interfejsu API dostępnych w żądaniach w czasie rzeczywistym znajdziesz w sekcji Wymiary w czasie rzeczywistym.

Na przykład to zapytanie zgrupowuje dane Aktywni użytkownicy w 2 kolumnach wymiarów:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
  {
    "dimensions": [
      {
        "name": "country"
      },
      {
        "name": "city"
      }
    ],
    "metrics": [{ "name": "activeUsers" }]
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunRealtimeReportWithMultipleDimensionsSample.java

Otwórz w Cloud Shell Wyświetl w GitHubie

import com.google.analytics.data.v1beta.BetaAnalyticsDataClient;
import com.google.analytics.data.v1beta.Dimension;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunRealtimeReportRequest;
import com.google.analytics.data.v1beta.RunRealtimeReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the creation of a realtime report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport
 * for more information.
 *
 * <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.RunRealtimeReportWithMultipleDimensionsSample"
 * }</pre>
 */
public class RunRealtimeReportWithMultipleDimensionsSample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample.
    String propertyId = "YOUR-GA4-PROPERTY-ID";
    sampleRunRealtimeReportWithMultipleDimensions(propertyId);
  }

  // Runs a realtime report on a Google Analytics 4 property.
  static void sampleRunRealtimeReportWithMultipleDimensions(String propertyId) throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) {
      RunRealtimeReportRequest request =
          RunRealtimeReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("country"))
              .addDimensions(Dimension.newBuilder().setName(("city")))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .build();

      // Make the request.
      RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request);
      // Prints the response using a method in RunRealtimeReportSample.java
      RunRealtimeReportSample.printRunRealtimeReportResponse(response);
    }
  }
}RunRealtimeReportWithMultipleDimensionsSample.java

PHP

google-analytics-data/src/run_realtime_report_with_multiple_dimensions.php

Otwórz w Cloud Shell Wyświetl w GitHubie

use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient;
use Google\Analytics\Data\V1beta\Dimension;
use Google\Analytics\Data\V1beta\Metric;
use Google\Analytics\Data\V1beta\MetricType;
use Google\Analytics\Data\V1beta\RunRealtimeReportRequest;
use Google\Analytics\Data\V1beta\RunRealtimeReportResponse;

/**
 * Runs a realtime report on a Google Analytics 4 property.
 * @param string $propertyId Your GA-4 Property ID
 */
function run_realtime_report_with_multiple_dimensions(string $propertyId)
{
    // Create an instance of the Google Analytics Data API client library.
    $client = new BetaAnalyticsDataClient();

    // Make an API call.
    $request = (new RunRealtimeReportRequest())
        ->setProperty('properties/' . $propertyId)
        ->setDimensions([
            new Dimension(['name' => 'country']),
            new Dimension(['name' => 'city']),
        ])
        ->setMetrics([new Metric(['name' => 'activeUsers'])]);
    $response = $client->runRealtimeReport($request);

    printRunRealtimeReportWithMultipleDimensionsResponse($response);
}

/**
 * Print results of a runRealtimeReport call.
 * @param RunRealtimeReportResponse $response
 */
function printRunRealtimeReportWithMultipleDimensionsResponse(RunRealtimeReportResponse $response)
{
    printf('%s rows received%s', $response->getRowCount(), PHP_EOL);
    foreach ($response->getDimensionHeaders() as $dimensionHeader) {
        printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL);
    }
    foreach ($response->getMetricHeaders() as $metricHeader) {
        printf(
            'Metric header name: %s (%s)%s',
            $metricHeader->getName(),
            MetricType::name($metricHeader->getType()),
            PHP_EOL
        );
    }

    print 'Report result: ' . PHP_EOL;

    foreach ($response->getRows() as $row) {
        printf(
            '%s %s' . PHP_EOL,
            $row->getDimensionValues()[0]->getValue(),
            $row->getMetricValues()[0]->getValue()
        );
    }
}run_realtime_report_with_multiple_dimensions.php

Python

google-analytics-data/run_realtime_report_with_multiple_dimensions.py

Otwórz w Cloud Shell Wyświetl w GitHubie

from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    Dimension,
    Metric,
    RunRealtimeReportRequest,
)

from run_report import print_run_report_response


def run_sample():
    """Runs the sample."""
    # TODO(developer): Replace this variable with your Google Analytics 4
    #  property ID before running the sample.
    property_id = "YOUR-GA4-PROPERTY-ID"
    run_realtime_report_with_multiple_dimensions(property_id)


def run_realtime_report_with_multiple_dimensions(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a realtime report on a Google Analytics 4 property."""
    client = BetaAnalyticsDataClient()

    request = RunRealtimeReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="country"), Dimension(name="city")],
        metrics=[Metric(name="activeUsers")],
    )
    response = client.run_realtime_report(request)
    print_run_report_response(response)

run_realtime_report_with_multiple_dimensions.py

Node.js

google-analytics-data/run_realtime_report_with_multiple_dimensions.js

Otwórz w Cloud Shell Wyświetl w GitHubie

  /**
   * TODO(developer): Uncomment this variable and replace with your GA4
   *   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');

  // Initialize client that will be used to send requests. This client only
  // needs to be created once, and can be reused for multiple requests.
  const analyticsDataClient = new BetaAnalyticsDataClient();

  // Runs a realtime report on a Google Analytics 4 property.
  async function runRealtimeReportWithMultipleDimensions() {
    const [response] = await analyticsDataClient.runRealtimeReport({
      property: `properties/${propertyId}`,
      dimensions: [
        {
          name: 'country',
        },
        {
          name: 'city',
        },
      ],
      metrics: [
        {
          name: 'activeUsers',
        },
      ],
    });
    printRunReportResponse(response);
  }

  runRealtimeReportWithMultipleDimensions();

  // Prints results of a runReport call.
  function printRunReportResponse(response) {
    console.log(`${response.rowCount} rows received`);
    response.dimensionHeaders.forEach(dimensionHeader => {
      console.log(`Dimension header name: ${dimensionHeader.name}`);
    });
    response.metricHeaders.forEach(metricHeader => {
      console.log(
        `Metric header name: ${metricHeader.name} (${metricHeader.type})`
      );
    });

    console.log('Report result:');
    response.rows.forEach(row => {
      console.log(
        `${row.dimensionValues[0].value}, ${row.metricValues[0].value}`
      );
    });
  }run_realtime_report_with_multiple_dimensions.js

Przykładowo wiersz w odpowiedzi na raport może zawierać takie informacje: Ten wiersz oznacza, że w ciągu ostatnich 30 minut w Twojej witrynie lub aplikacji było 47 aktywnych użytkowników z Kapsztadu w RPA.

"rows": [
...
{
  "dimensionValues": [
    {
      "value": "South Africa"
    },
    {
      "value": "Cape Town"
    }
  ],
  "metricValues": [
    {
      "value": "47"
    }
  ]
},
...
],

Dane

Dane to ilościowe pomiary danych zdarzeń w Twojej witrynie lub aplikacji. W żądaniu raportu możesz określić co najmniej 1 rodzaj danych. Pełną listę nazw danych interfejsu API dostępnych w żądaniach znajdziesz w sekcji Dane w czasie rzeczywistym.

Na przykład to zapytanie spowoduje wyświetlenie 2 rodzajów danych pogrupowanych według wymiaru unifiedScreenName:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
  {
    "dimensions": [{ "name": "unifiedScreenName" }],
    "metrics": [
      {
        "name": "screenPageViews"
      },
      {
        "name": "keyEvents"
      }
    ],
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunRealtimeReportWithMultipleMetricsSample.java

Otwórz w Cloud Shell Wyświetl w GitHubie

import com.google.analytics.data.v1beta.BetaAnalyticsDataClient;
import com.google.analytics.data.v1beta.Dimension;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunRealtimeReportRequest;
import com.google.analytics.data.v1beta.RunRealtimeReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the creation of a realtime report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport
 * for more information.
 *
 * <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.RunRealtimeReportWithMultipleMetricsSample"
 * }</pre>
 */
public class RunRealtimeReportWithMultipleMetricsSample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample.
    String propertyId = "YOUR-GA4-PROPERTY-ID";
    sampleRunRealtimeReportWithMultipleMetrics(propertyId);
  }

  // Runs a realtime report on a Google Analytics 4 property.
  static void sampleRunRealtimeReportWithMultipleMetrics(String propertyId) throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) {
      RunRealtimeReportRequest request =
          RunRealtimeReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("unifiedScreenName"))
              .addMetrics(Metric.newBuilder().setName(("screenPageViews")))
              .addMetrics(Metric.newBuilder().setName("keyEvents"))
              .build();

      // Make the request.
      RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request);
      // Prints the response using a method in RunRealtimeReportSample.java
      RunRealtimeReportSample.printRunRealtimeReportResponse(response);
    }
  }
}RunRealtimeReportWithMultipleMetricsSample.java

PHP

google-analytics-data/src/run_realtime_report_with_multiple_metrics.php

Otwórz w Cloud Shell Wyświetl w GitHubie

use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient;
use Google\Analytics\Data\V1beta\Dimension;
use Google\Analytics\Data\V1beta\Metric;
use Google\Analytics\Data\V1beta\MetricType;
use Google\Analytics\Data\V1beta\RunRealtimeReportRequest;
use Google\Analytics\Data\V1beta\RunRealtimeReportResponse;

/**
 * Runs a realtime report on a Google Analytics 4 property.
 * @param string $propertyId Your GA-4 Property ID
 */
function run_realtime_report_with_multiple_metrics(string $propertyId)
{
    // Create an instance of the Google Analytics Data API client library.
    $client = new BetaAnalyticsDataClient();

    // Make an API call.
    $request = (new RunRealtimeReportRequest())
        ->setProperty('properties/' . $propertyId)
        ->setDimensions([new Dimension(['name' => 'unifiedScreenName'])])
        ->setMetrics([
            new Metric(['name' => 'screenPageViews']),
            new Metric(['name' => 'keyEvents']),
        ]);
    $response = $client->runRealtimeReport($request);

    printRunRealtimeReportWithMultipleMetricsResponse($response);
}

/**
 * Print results of a runRealtimeReport call.
 * @param RunRealtimeReportResponse $response
 */
function printRunRealtimeReportWithMultipleMetricsResponse(RunRealtimeReportResponse $response)
{
    printf('%s rows received%s', $response->getRowCount(), PHP_EOL);
    foreach ($response->getDimensionHeaders() as $dimensionHeader) {
        printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL);
    }
    foreach ($response->getMetricHeaders() as $metricHeader) {
        printf(
            'Metric header name: %s (%s)%s',
            $metricHeader->getName(),
            MetricType::name($metricHeader->getType()),
            PHP_EOL
        );
    }

    print 'Report result: ' . PHP_EOL;

    foreach ($response->getRows() as $row) {
        printf(
            '%s %s' . PHP_EOL,
            $row->getDimensionValues()[0]->getValue(),
            $row->getMetricValues()[0]->getValue()
        );
    }
}run_realtime_report_with_multiple_metrics.php

Python

google-analytics-data/run_realtime_report_with_multiple_metrics.py

Otwórz w Cloud Shell Wyświetl w GitHubie

from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    Dimension,
    Metric,
    RunRealtimeReportRequest,
)

from run_report import print_run_report_response


def run_sample():
    """Runs the sample."""
    # TODO(developer): Replace this variable with your Google Analytics 4
    #  property ID before running the sample.
    property_id = "YOUR-GA4-PROPERTY-ID"
    run_realtime_report_with_multiple_metrics(property_id)


def run_realtime_report_with_multiple_metrics(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a realtime report on a Google Analytics 4 property."""
    client = BetaAnalyticsDataClient()

    request = RunRealtimeReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="unifiedScreenName")],
        metrics=[Metric(name="screenPageViews"), Metric(name="keyEvents")],
    )
    response = client.run_realtime_report(request)
    print_run_report_response(response)

run_realtime_report_with_multiple_metrics.py

Node.js

google-analytics-data/run_realtime_report_with_multiple_metrics.js

Otwórz w Cloud Shell Wyświetl w GitHubie

  /**
   * TODO(developer): Uncomment this variable and replace with your GA4
   *   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');

  // Creates a client.
  const analyticsDataClient = new BetaAnalyticsDataClient();

  // Runs a realtime report on a Google Analytics 4 property.
  async function runRealtimeReportWithMultipleMetrics() {
    const [response] = await analyticsDataClient.runRealtimeReport({
      // The property parameter value must be in the form `properties/1234`
      // where `1234` is a GA4 property Id.
      property: `properties/${propertyId}`,
      dimensions: [
        {
          name: 'unifiedScreenName',
        },
      ],
      metrics: [
        {
          name: 'screenPageViews',
        },
        {
          name: 'keyEvents',
        },
      ],
    });
    printRunReportResponse(response);
  }

  runRealtimeReportWithMultipleMetrics();

  // Prints results of a runReport call.
  function printRunReportResponse(response) {
    console.log(`${response.rowCount} rows received`);
    response.dimensionHeaders.forEach(dimensionHeader => {
      console.log(`Dimension header name: ${dimensionHeader.name}`);
    });
    response.metricHeaders.forEach(metricHeader => {
      console.log(
        `Metric header name: ${metricHeader.name} (${metricHeader.type})`
      );
    });

    console.log('Report result:');
    response.rows.forEach(row => {
      console.log(
        `${row.dimensionValues[0].value}, ${row.metricValues[0].value}`
      );
    });
  }run_realtime_report_with_multiple_metrics.js

Przykładowo wiersz w odpowiedzi na raport może zawierać te informacje: Ten wiersz oznacza, że w przypadku tytułu strony (internet) lub nazwy ekranu (aplikacja) main_menu w ciągu ostatnich 30 minut odnotowano 257 wyświetleń i 72 kluczowe zdarzenia.

"rows": [
...
{
  "dimensionValues": [
    {
      "value": "main_menu"
    }
  ],
  "metricValues": [
    {
      "value": "257"
    },
    {
      "value": "72"
    }
  ]
},
...
],

Zakresy minut

W żądaniu raportu w czasie rzeczywistym możesz użyć pola minuteRanges, aby określić zakresy minutowe danych zdarzeń do odczytu. W zapytaniu można użyć maksymalnie 2 oddzielnych zakresów minut. Jeśli w zapytaniu nie ma zakresu minut, używany jest zakres obejmujący 1 minutę z ostatnich 30 minut.

Na przykład żądanie poniżej spowoduje wyświetlenie liczby aktywnych użytkowników w 2 oddzielnych przedziałach minutowych:

Zakres 1: od 4 minut temu do chwili obecnej.
Zakres 2: od 29 minut do 25 minut temu (łącznie).

HTTP

POST https://analyticsdata.googleapis.com/v1beta/property/GA_PROPERTY_ID:runRealtimeReport
  {
    "metrics": [
      {
        "name": "activeUsers"
      }
    ],
    "minuteRanges": [
      {
        "name": "0-4 minutes ago",
        "startMinutesAgo": 4,
      },
      {
        "name": "25-29 minutes ago",
        "startMinutesAgo": 29,
        "endMinutesAgo": 25,
      }
    ],
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunRealtimeReportWithMinuteRangesSample.java

Otwórz w Cloud Shell Wyświetl w GitHubie

import com.google.analytics.data.v1beta.BetaAnalyticsDataClient;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.MinuteRange;
import com.google.analytics.data.v1beta.RunRealtimeReportRequest;
import com.google.analytics.data.v1beta.RunRealtimeReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the creation of a realtime report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runRealtimeReport
 * for more information.
 *
 * <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.RunRealtimeReportWithMinuteRangesSample"
 * }</pre>
 */
public class RunRealtimeReportWithMinuteRangesSample {

  public static void main(String... args) throws Exception {
    // TODO(developer): Replace with your Google Analytics 4 property ID before running the sample.
    String propertyId = "YOUR-GA4-PROPERTY-ID";
    sampleRunRealtimeReportWithMinuteRanges(propertyId);
  }

  // Runs a realtime report on a Google Analytics 4 property.
  static void sampleRunRealtimeReportWithMinuteRanges(String propertyId) throws Exception {
    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) {
      RunRealtimeReportRequest request =
          RunRealtimeReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addMetrics(Metric.newBuilder().setName(("activeUsers")))
              .addMinuteRanges(
                  MinuteRange.newBuilder().setName("0-4 minutes ago").setStartMinutesAgo(4))
              .addMinuteRanges(
                  MinuteRange.newBuilder()
                      .setName("25-29 minutes ago")
                      .setEndMinutesAgo(29)
                      .setEndMinutesAgo(25))
              .build();

      // Make the request.
      RunRealtimeReportResponse response = analyticsData.runRealtimeReport(request);
      // Prints the response using a method in RunRealtimeReportSample.java
      RunRealtimeReportSample.printRunRealtimeReportResponse(response);
    }
  }
}RunRealtimeReportWithMinuteRangesSample.java

PHP

google-analytics-data/src/run_realtime_report_with_minute_ranges.php

Otwórz w Cloud Shell Wyświetl w GitHubie

use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient;
use Google\Analytics\Data\V1beta\Metric;
use Google\Analytics\Data\V1beta\MetricType;
use Google\Analytics\Data\V1beta\MinuteRange;
use Google\Analytics\Data\V1beta\RunRealtimeReportRequest;
use Google\Analytics\Data\V1beta\RunRealtimeReportResponse;

/**
 * Runs a realtime report on a Google Analytics 4 property. Dimensions field is
 * omitted in the query, which results in total values of active users returned
 * for each minute range in the report.
 *
 * Note the `dateRange` dimension added to the report response automatically as
 * a result of querying multiple minute ranges.
 * @param string $propertyId Your GA-4 Property ID
 */
function run_realtime_report_with_minute_ranges(string $propertyId)
{
    // Create an instance of the Google Analytics Data API client library.
    $client = new BetaAnalyticsDataClient();

    // Make an API call.
    $request = (new RunRealtimeReportRequest())
        ->setProperty('properties/' . $propertyId)
        ->setMetrics([
            new Metric(['name' => 'activeUsers']),
        ])
        ->setMinuteRanges([
            new MinuteRange(['name' => '0-4 minutes ago', 'start_minutes_ago' => 4]),
            new MinuteRange(['name' => '25-29 minutes ago', 'start_minutes_ago' => 29, 'end_minutes_ago' => 25]),
        ]);
    $response = $client->runRealtimeReport($request);

    printRunRealtimeReportWithMinuteRangesResponse($response);
}

/**
 * Print results of a runRealtimeReport call.
 * @param RunRealtimeReportResponse $response
 */
function printRunRealtimeReportWithMinuteRangesResponse(RunRealtimeReportResponse $response)
{
    printf('%s rows received%s', $response->getRowCount(), PHP_EOL);
    foreach ($response->getDimensionHeaders() as $dimensionHeader) {
        printf('Dimension header name: %s%s', $dimensionHeader->getName(), PHP_EOL);
    }
    foreach ($response->getMetricHeaders() as $metricHeader) {
        printf(
            'Metric header name: %s (%s)%s',
            $metricHeader->getName(),
            MetricType::name($metricHeader->getType()),
            PHP_EOL
        );
    }

    print 'Report result: ' . PHP_EOL;
    foreach ($response->getRows() as $row) {
        printf(
            '%s %s' . PHP_EOL,
            $row->getDimensionValues()[0]->getValue(),
            $row->getMetricValues()[0]->getValue()
        );
    }
}run_realtime_report_with_minute_ranges.php

Python

google-analytics-data/run_realtime_report_with_minute_ranges.py

Otwórz w Cloud Shell Wyświetl w GitHubie

from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    Metric,
    MinuteRange,
    RunRealtimeReportRequest,
)

from run_report import print_run_report_response


def run_sample():
    """Runs the sample."""
    # TODO(developer): Replace this variable with your Google Analytics 4
    #  property ID before running the sample.
    property_id = "YOUR-GA4-PROPERTY-ID"
    run_realtime_report_with_minute_ranges(property_id)


def run_realtime_report_with_minute_ranges(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a realtime report on a Google Analytics 4 property. Dimensions
    field is omitted in the query, which results in total values of active users
    returned for each minute range in the report.

    Note the `dateRange` dimension added to the report response automatically
    as a result of querying multiple minute ranges.
    """
    client = BetaAnalyticsDataClient()

    request = RunRealtimeReportRequest(
        property=f"properties/{property_id}",
        metrics=[Metric(name="activeUsers")],
        minute_ranges=[
            MinuteRange(name="0-4 minutes ago", start_minutes_ago=4),
            MinuteRange(
                name="25-29 minutes ago", start_minutes_ago=29, end_minutes_ago=25
            ),
        ],
    )
    response = client.run_realtime_report(request)
    print_run_report_response(response)

run_realtime_report_with_minute_ranges.py

Node.js

google-analytics-data/run_realtime_report_with_minute_ranges.js

Otwórz w Cloud Shell Wyświetl w GitHubie

  // 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');

  // Initialize client that will be used to send requests. This client only
  // needs to be created once, and can be reused for multiple requests.
  const analyticsDataClient = new BetaAnalyticsDataClient();

  // Runs a report using two date ranges.
  async function runRealtimeReportWithMinuteRanges() {
    const [response] = await analyticsDataClient.runRealtimeReport({
      property: `properties/${propertyId}`,
      minuteRanges: [
        {
          name: '0-4 minutes ago',
          startMinutesAgo: 4,
          endMinutesAgo: 0,
        },
        {
          name: '25-29 minutes ago',
          startMinutesAgo: 29,
          endMinutesAgo: 25,
        },
      ],
      metrics: [
        {
          name: 'activeUsers',
        },
      ],
    });
    printRunReportResponse(response);
  }

  runRealtimeReportWithMinuteRanges();

  // Prints results of a runReport call.
  function printRunReportResponse(response) {
    console.log(`${response.rowCount} rows received`);
    response.dimensionHeaders.forEach(dimensionHeader => {
      console.log(`Dimension header name: ${dimensionHeader.name}`);
    });
    response.metricHeaders.forEach(metricHeader => {
      console.log(
        `Metric header name: ${metricHeader.name} (${metricHeader.type})`
      );
    });

    console.log('Report result:');
    response.rows.forEach(row => {
      console.log(
        `${row.dimensionValues[0].value}, ${row.metricValues[0].value}`
      );
    });
  }run_realtime_report_with_minute_ranges.js

Poniżej znajdziesz pełną przykładową odpowiedź na to zapytanie. Zwróć uwagę na wymiar dateRange dodany do odpowiedzi na raport automatycznie w wyniku zapytania obejmującego wiele zakresów minutowych.

  {
    "dimensionHeaders": [
      {
        "name": "dateRange"
      }
    ],
    "metricHeaders": [
      {
        "name": "activeUsers",
        "type": "TYPE_INTEGER"
      }
    ],
    "rows": [
      {
        "dimensionValues": [
          {
            "value": "0-4 minutes ago"
          }
        ],
        "metricValues": [
          {
            "value": "16"
          }
        ]
      },
      {
        "dimensionValues": [
          {
            "value": "25-29 minutes ago"
          }
        ],
        "metricValues": [
          {
            "value": "14"
          }
        ]
      }
    ],
    "rowCount": 2,
    "kind": "analyticsData#runRealtimeReport"
  }

O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0, a fragmenty kodu są dostępne na licencji Apache 2.0. Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers. Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych.

Ostatnia aktualizacja: 2025-03-10 UTC.

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