Membuat laporan

Panduan ini menjelaskan cara membuat laporan dasar untuk data Analytics Anda menggunakan Google Analytics Data API v1. Laporan dari Data API v1 serupa dengan laporan yang dapat Anda buat di bagian Laporan pada UI Google Analytics.

Panduan ini mencakup pelaporan inti, fitur pelaporan umum Data API. Data API v1 juga memiliki pelaporan Realtime dan pelaporan Funnel khusus.

runReport adalah metode yang direkomendasikan untuk kueri, dan digunakan di semua contoh di seluruh panduan ini. Lihat fitur lanjutan untuk ringkasan tentang metode pelaporan inti lainnya. Coba Query Explorer untuk menguji kueri Anda.

Ikhtisar laporan

Laporan adalah tabel data peristiwa untuk properti Google Analytics 4. Setiap tabel laporan memiliki dimensi dan metrik yang diminta dalam kueri Anda, dengan data dalam baris individual.

Gunakan filter untuk hanya menampilkan baris yang cocok dengan kondisi tertentu, dan penomoran halaman untuk melihat hasil.

Berikut adalah contoh tabel laporan yang menampilkan satu dimensi (Country) dan satu metrik (activeUsers):

Negara Pengguna Aktif
Jepang 2541
Prancis 12

Menentukan sumber data

Setiap permintaan runReport mengharuskan Anda untuk menentukan ID properti Google Analytics 4. Properti Analytics yang Anda tentukan akan digunakan sebagai set data untuk kueri tersebut. Berikut contohnya:

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport

Respons dari permintaan ini hanya menyertakan data dari properti Analytics yang Anda tentukan sebagai GA4_PROPERTY_ID.

Jika Anda menggunakan library klien Data API, tentukan sumber data dalam parameter property, dalam bentuk properties/GA4_PROPERTY_ID. Lihat panduan memulai cepat untuk mengetahui contoh penggunaan library klien.

Lihat artikel Mengirim peristiwa Measurement Protocol ke Google Analytics jika Anda ingin menyertakan peristiwa Measurement Protocol dalam laporan Anda.

Membuat laporan

Untuk menghasilkan laporan, buat objek RunReportRequest. Sebaiknya mulai dengan parameter berikut:

  • Entri yang valid di kolom dateRanges.
  • Minimal satu entri yang valid di kolom dimensions.
  • Minimal satu entri yang valid di kolom metrics.

Berikut adalah contoh permintaan dengan kolom yang direkomendasikan:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    "dateRanges": [{ "startDate": "2023-09-01"", "endDate": "2023-09-15" }],
    "dimensions": [{ "name": "country" }],
    "metrics": [{ "name": "activeUsers" }]
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportSample.java
Buka di Cloud Shell Lihat di GitHub 
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.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.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

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

  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);
  }

  // Runs a report of active users grouped by country.
  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("country"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("2020-09-01").setEndDate("2020-09-15"))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      printRunResponseResponse(response);
    }
  }

  // Prints results of a runReport call.
  static void printRunResponseResponse(RunReportResponse 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());
    }
  }
}
RunReportSample.java

Python

google-analytics-data/run_report.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    MetricType,
    RunReportRequest,
)


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_report(property_id)


def run_report(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report of active users grouped by country."""
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="country")],
        metrics=[Metric(name="activeUsers")],
        date_ranges=[DateRange(start_date="2020-09-01", end_date="2020-09-15")],
    )
    response = client.run_report(request)
    print_run_report_response(response)


def print_run_report_response(response):
    """Prints results of a runReport call."""
    print(f"{response.row_count} rows received")
    for dimensionHeader in response.dimension_headers:
        print(f"Dimension header name: {dimensionHeader.name}")
    for metricHeader in response.metric_headers:
        metric_type = MetricType(metricHeader.type_).name
        print(f"Metric header name: {metricHeader.name} ({metric_type})")

    print("Report result:")
    for rowIdx, row in enumerate(response.rows):
        print(f"\nRow {rowIdx}")
        for i, dimension_value in enumerate(row.dimension_values):
            dimension_name = response.dimension_headers[i].name
            print(f"{dimension_name}: {dimension_value.value}")

        for i, metric_value in enumerate(row.metric_values):
            metric_name = response.metric_headers[i].name
            print(f"{metric_name}: {metric_value.value}")


run_report.py

Kueri untuk metrik

Metrics adalah pengukuran kuantitatif data peristiwa. Anda harus menentukan setidaknya satu metrik dalam permintaan runReport.

Lihat Metrik API untuk mengetahui daftar lengkap metrik yang dapat Anda kueri.

Berikut ini contoh permintaan yang menampilkan tiga metrik, yang dikelompokkan menurut dimensi date:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    "dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
    "dimensions": [{ "name": "date" }],
    "metrics": [
      {
        "name": "activeUsers"
      },
      {
        "name": "newUsers"
      },
      {
        "name": "totalRevenue"
      }
    ],
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithMultipleMetricsSample.java
Buka di Cloud Shell Lihat di GitHub 

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.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

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

  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";
    sampleRunReportWithMultipleMetrics(propertyId);
  }

  // Runs a report of active users, new users and total revenue grouped by date dimension.
  static void sampleRunReportWithMultipleMetrics(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("date"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .addMetrics(Metric.newBuilder().setName("newUsers"))
              .addMetrics(Metric.newBuilder().setName("totalRevenue"))
              .addDateRanges(DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("today"))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithMultipleMetricsSample.java

Python

google-analytics-data/run_report_with_multiple_metrics.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    RunReportRequest,
)

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_report_with_multiple_metrics(property_id)


def run_report_with_multiple_metrics(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report of active users, new users and total revenue grouped by
    date dimension."""
    client = BetaAnalyticsDataClient()

    # Runs a report of active users grouped by three dimensions.
    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="date")],
        metrics=[
            Metric(name="activeUsers"),
            Metric(name="newUsers"),
            Metric(name="totalRevenue"),
        ],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="today")],
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_multiple_metrics.py

Berikut adalah contoh respons yang menampilkan 1.135 Pengguna Aktif, 512 Pengguna Baru, dan 73, 0841 Total Pendapatan dalam mata uang properti Analytics Anda pada tanggal 20231025 (25 Oktober 2023).

"rows": [
...
{
  "dimensionValues": [
    {
      "value": "20231025"
    }
  ],
  "metricValues": [
    {
      "value": "1135"
    },
    {
      "value": "512"
    },
    {
      "value": "73.0841"
    }
  ]
},
...
],

Baca responsnya

Respons laporan berisi header dan baris data. Header terdiri dari DimensionHeaders dan MetricHeaders, yang mencantumkan kolom dalam laporan. Setiap baris terdiri dari DimensionValues dan MetricValues. Urutan kolom dalam permintaan, header, dan baris konsisten.

Berikut adalah contoh respons untuk contoh permintaan sebelumnya:

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

Mengelompokkan dan memfilter data

Dimensi adalah atribut kualitatif yang dapat Anda gunakan untuk mengelompokkan dan memfilter data. Misalnya, dimensi city menunjukkan kota, seperti Paris atau New York, tempat setiap peristiwa berasal. Dimensi bersifat opsional untuk permintaan runReport, dan Anda dapat menggunakan hingga sembilan dimensi per permintaan.

Lihat Dimensi API untuk mengetahui daftar lengkap dimensi yang dapat Anda gunakan untuk mengelompokkan dan memfilter data.

Grup

Berikut ini contoh permintaan yang mengelompokkan pengguna aktif ke dalam tiga dimensi:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    "dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
    "dimensions": [
      {
        "name": "country"
      },
      {
        "name": "region"
      },
      {
        "name": "city"
      }
    ],
    "metrics": [{ "name": "activeUsers" }]
  }
  ```

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithMultipleDimensionsSample.java
Buka di Cloud Shell Lihat di GitHub 

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.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

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

  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";
    sampleRunReportWithMultipleDimensions(propertyId);
  }

  // Runs a report of active users grouped by three dimensions.
  static void sampleRunReportWithMultipleDimensions(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("country"))
              .addDimensions(Dimension.newBuilder().setName("region"))
              .addDimensions(Dimension.newBuilder().setName("city"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .addDateRanges(DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("today"))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithMultipleDimensionsSample.java

Python

google-analytics-data/run_report_with_multiple_dimensions.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    RunReportRequest,
)

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_report_with_multiple_dimensions(property_id)


def run_report_with_multiple_dimensions(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report of active users grouped by three dimensions."""
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[
            Dimension(name="country"),
            Dimension(name="region"),
            Dimension(name="city"),
        ],
        metrics=[Metric(name="activeUsers")],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="today")],
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_multiple_dimensions.py

Berikut contoh baris laporan untuk permintaan sebelumnya. Baris ini menunjukkan bahwa ada 47 pengguna aktif selama rentang tanggal yang ditentukan dengan peristiwa dari Cape Town, Afrika Selatan.

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

Filter

Anda membuat laporan dengan data hanya untuk nilai dimensi tertentu. Untuk memfilter dimensi, tentukan FilterExpression di kolom dimensionFilter.

Berikut adalah contoh yang menampilkan laporan deret waktu eventCount, jika eventName adalah first_open untuk setiap date :

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    "dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
    "dimensions": [{ "name": "date" }],
    "metrics": [{ "name": "eventCount" }],
    "dimensionFilter": {
      "filter": {
        "fieldName": "eventName",
        "stringFilter": {
          "value": "first_open"
        }
      }
    },
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithDimensionFilterSample.java
Buka di Cloud Shell Lihat di GitHub 

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.Filter;
import com.google.analytics.data.v1beta.FilterExpression;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the usage of dimension and metric
 * filters in a report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.dimension_filter
 * 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.RunReportWithDimensionFilterSample"
 * }</pre>
 */
public class RunReportWithDimensionFilterSample {

  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";
    sampleRunReportWithDimensionFilter(propertyId);
  }

  // Runs a report using a dimension filter. The call returns a time series report of `eventCount`
  // when `eventName` is `first_open` for each date.
  // This sample uses relative date range values.
  // See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
  // for more information.
  static void sampleRunReportWithDimensionFilter(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("date"))
              .addMetrics(Metric.newBuilder().setName("eventCount"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("yesterday"))
              .setDimensionFilter(
                  FilterExpression.newBuilder()
                      .setFilter(
                          Filter.newBuilder()
                              .setFieldName("eventName")
                              .setStringFilter(
                                  Filter.StringFilter.newBuilder().setValue("first_open"))))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithDimensionFilterSample.java

Python

google-analytics-data/run_report_with_dimension_filter.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Filter,
    FilterExpression,
    Metric,
    RunReportRequest,
)

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_report_with_dimension_filter(property_id)


def run_report_with_dimension_filter(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report using a dimension filter. The call returns a time series
    report of `eventCount` when `eventName` is `first_open` for each date.

    This sample uses relative date range values. See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
    for more information.
    """

    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="date")],
        metrics=[Metric(name="eventCount")],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="yesterday")],
        dimension_filter=FilterExpression(
            filter=Filter(
                field_name="eventName",
                string_filter=Filter.StringFilter(value="first_open"),
            )
        ),
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_dimension_filter.py

Berikut adalah contoh FilterExpression lainnya, dengan andGroup hanya menyertakan data yang memenuhi semua kriteria dalam daftar ekspresi. dimensionFilter ini dipilih jika browser adalah Chrome dan countryId adalah US:

HTTP

...
"dimensionFilter": {
  "andGroup": {
    "expressions": [
      {
        "filter": {
          "fieldName": "browser",
          "stringFilter": {
            "value": "Chrome"
          }
        }
      },
      {
        "filter": {
          "fieldName": "countryId",
          "stringFilter": {
            "value": "US"
          }
        }
      }
    ]
  }
},
...

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithMultipleDimensionFiltersSample.java
Buka di Cloud Shell Lihat di GitHub 

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.Filter;
import com.google.analytics.data.v1beta.FilterExpression;
import com.google.analytics.data.v1beta.FilterExpressionList;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the usage of dimension and metric
 * filters in a report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.dimension_filter
 * 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.RunReportWithMultipleDimensionFiltersSample"
 * }</pre>
 */
public class RunReportWithMultipleDimensionFiltersSample {

  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";
    sampleRunReportWithMultipleDimensionFilters(propertyId);
  }

  // Runs a report using multiple dimension filters joined as `and_group` expression. The filter
  // selects for when both `browser` is `Chrome` and `countryId` is `US`.
  // This sample uses relative date range values.
  // See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
  // for more information.
  static void sampleRunReportWithMultipleDimensionFilters(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("browser"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("yesterday"))
              .setDimensionFilter(
                  FilterExpression.newBuilder()
                      .setAndGroup(
                          FilterExpressionList.newBuilder()
                              .addExpressions(
                                  FilterExpression.newBuilder()
                                      .setFilter(
                                          Filter.newBuilder()
                                              .setFieldName("browser")
                                              .setStringFilter(
                                                  Filter.StringFilter.newBuilder()
                                                      .setValue("Chrome"))))
                              .addExpressions(
                                  FilterExpression.newBuilder()
                                      .setFilter(
                                          Filter.newBuilder()
                                              .setFieldName("countryId")
                                              .setStringFilter(
                                                  Filter.StringFilter.newBuilder()
                                                      .setValue("US"))))))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithMultipleDimensionFiltersSample.java

Python

google-analytics-data/run_report_with_multiple_dimension_filters.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Filter,
    FilterExpression,
    FilterExpressionList,
    Metric,
    RunReportRequest,
)

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_report_with_multiple_dimension_filters(property_id)


def run_report_with_multiple_dimension_filters(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report using multiple dimension filters joined as `and_group`
    expression. The filter selects for when both `browser` is `Chrome` and
    `countryId` is `US`.

    This sample uses relative date range values. See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
    for more information.
    """
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="browser")],
        metrics=[Metric(name="activeUsers")],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="yesterday")],
        dimension_filter=FilterExpression(
            and_group=FilterExpressionList(
                expressions=[
                    FilterExpression(
                        filter=Filter(
                            field_name="browser",
                            string_filter=Filter.StringFilter(value="Chrome"),
                        )
                    ),
                    FilterExpression(
                        filter=Filter(
                            field_name="countryId",
                            string_filter=Filter.StringFilter(value="US"),
                        )
                    ),
                ]
            )
        ),
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_multiple_dimension_filters.py

orGroup mencakup data yang memenuhi salah satu kriteria dalam daftar ekspresi.

notExpression mengecualikan data yang cocok dengan ekspresi dalamnya. Berikut adalah dimensionFilter yang menampilkan data hanya jika pageTitle bukan My Homepage. Laporan ini menampilkan data peristiwa untuk setiap pageTitle selain My Homepage:

HTTP

...
"dimensionFilter": {
  "notExpression": {
    "filter": {
      "fieldName": "pageTitle",
      "stringFilter": {
        "value": "My Homepage"
      }
    }
  }
},
...

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithDimensionExcludeFilterSample.java
Buka di Cloud Shell Lihat di GitHub 

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.Filter;
import com.google.analytics.data.v1beta.FilterExpression;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the usage of dimension and metric
 * filters in a report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.dimension_filter
 * 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.RunReportWithDimensionExcludeFilterSample"
 * }</pre>
 */
public class RunReportWithDimensionExcludeFilterSample {

  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";
    sampleRunReportWithDimensionExcludeFilter(propertyId);
  }

  // Runs a report using a filter with `not_expression`. The dimension filter selects for when
  // `pageTitle` is not `My Homepage`.
  // This sample uses relative date range values.
  // See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
  // for more information.
  static void sampleRunReportWithDimensionExcludeFilter(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("pageTitle"))
              .addMetrics(Metric.newBuilder().setName("sessions"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("yesterday"))
              .setDimensionFilter(
                  FilterExpression.newBuilder()
                      .setNotExpression(
                          FilterExpression.newBuilder()
                              .setFilter(
                                  Filter.newBuilder()
                                      .setFieldName("pageTitle")
                                      .setStringFilter(
                                          Filter.StringFilter.newBuilder()
                                              .setValue("My Homepage")))))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithDimensionExcludeFilterSample.java

Python

google-analytics-data/run_report_with_dimension_exclude_filter.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Filter,
    FilterExpression,
    Metric,
    RunReportRequest,
)

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_report_with_dimension_exclude_filter(property_id)


def run_report_with_dimension_exclude_filter(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report using a filter with `not_expression`. The dimension filter
    selects for when `pageTitle` is not `My Homepage`.

    This sample uses relative date range values. See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
    for more information.
    """
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="pageTitle")],
        metrics=[Metric(name="sessions")],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="yesterday")],
        dimension_filter=FilterExpression(
            not_expression=FilterExpression(
                filter=Filter(
                    field_name="pageTitle",
                    string_filter=Filter.StringFilter(value="My Homepage"),
                )
            )
        ),
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_dimension_exclude_filter.py

inListFilter mencocokkan data untuk salah satu nilai dalam daftar. Berikut adalah dimensionFilter yang menampilkan data peristiwa, dengan eventName adalah salah satu dari purchase, in_app_purchase, dan app_store_subscription_renew:

HTTP

...
"dimensionFilter": {
    "filter": {
      "fieldName": "eventName",
      "inListFilter": {
        "values": ["purchase",
        "in_app_purchase",
        "app_store_subscription_renew"]
      }
    }
  },
...

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithDimensionInListFilterSample.java
Buka di Cloud Shell Lihat di GitHub 

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.Filter;
import com.google.analytics.data.v1beta.FilterExpression;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;
import java.util.ArrayList;

/**
 * Google Analytics Data API sample application demonstrating the usage of dimension and metric
 * filters in a report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.dimension_filter
 * 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.RunReportWithDimensionInListFilterSample"
 * }</pre>
 */
public class RunReportWithDimensionInListFilterSample {

  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";
    sampleRunReportWithDimensionInListFilter(propertyId);
  }

  // Runs a report using a dimension filter with `in_list_filter` expression. The filter selects for
  // when `eventName` is set to one of three event names specified in the query.
  // This sample uses relative date range values.
  // See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
  // for more information.
  static void sampleRunReportWithDimensionInListFilter(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDimensions(Dimension.newBuilder().setName("eventName"))
              .addMetrics(Metric.newBuilder().setName("sessions"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("7daysAgo").setEndDate("yesterday"))
              .setDimensionFilter(
                  FilterExpression.newBuilder()
                      .setFilter(
                          Filter.newBuilder()
                              .setFieldName("eventName")
                              .setInListFilter(
                                  Filter.InListFilter.newBuilder()
                                      .addAllValues(
                                          new ArrayList<String>() {
                                            {
                                              add("purchase");
                                              add("in_app_purchase");
                                              add("app_store_subscription_renew");
                                            }
                                          })
                                      .build())))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithDimensionInListFilterSample.java

Python

google-analytics-data/run_report_with_dimension_in_list_filter.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Filter,
    FilterExpression,
    Metric,
    RunReportRequest,
)

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_report_with_dimension_in_list_filter(property_id)


def run_report_with_dimension_in_list_filter(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report using a dimension filter with `in_list_filter` expression.
    The filter selects for when `eventName` is set to one of three event names
    specified in the query.

    This sample uses relative date range values. See https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/DateRange
    for more information.
    """
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        dimensions=[Dimension(name="eventName")],
        metrics=[Metric(name="sessions")],
        date_ranges=[DateRange(start_date="7daysAgo", end_date="yesterday")],
        dimension_filter=FilterExpression(
            filter=Filter(
                field_name="eventName",
                in_list_filter=Filter.InListFilter(
                    values=[
                        "purchase",
                        "in_app_purchase",
                        "app_store_subscription_renew",
                    ]
                ),
            )
        ),
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_dimension_in_list_filter.py

Menjelajahi laporan panjang

Secara default, laporan hanya berisi 10.000 baris data peristiwa pertama. Untuk melihat hingga 100.000 baris dalam laporan, Anda dapat menyertakan "limit": 100000 dalam RunReportRequest.

Untuk laporan yang berisi lebih dari 100.000 baris, Anda harus mengirim serangkaian permintaan dan halaman untuk menelusuri hasilnya. Misalnya, berikut ini permintaan untuk 100.000 baris pertama:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    ...
    "limit": 100000,
    "offset": 0
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithPagiNSample.java
Buka di Cloud Shell Lihat di GitHub 

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.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the use of pagination to retrieve
 * large result sets.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.offset
 * 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.RunReportWithPaginationSample"
 * }</pre>
 */
public class RunReportWithPaginationSample {

  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";
    sampleRunReportWithPagination(propertyId);
  }

  // Runs a report several times, each time retrieving a portion of result using pagination.
  static void sampleRunReportWithPagination(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("365daysAgo").setEndDate("yesterday"))
              .addDimensions(Dimension.newBuilder().setName("firstUserSource"))
              .addDimensions(Dimension.newBuilder().setName("firstUserMedium"))
              .addDimensions(Dimension.newBuilder().setName("firstUserCampaignName"))
              .addMetrics(Metric.newBuilder().setName("sessions"))
              .addMetrics(Metric.newBuilder().setName("conversions"))
              .addMetrics(Metric.newBuilder().setName("totalRevenue"))
              .setLimit(100000)
              .setOffset(0)
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      RunReportSample.printRunResponseResponse(response);

      // Run the same report with a different offset value to retrieve the second page of a
      // response.
      request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("365daysAgo").setEndDate("yesterday"))
              .addDimensions(Dimension.newBuilder().setName("firstUserSource"))
              .addDimensions(Dimension.newBuilder().setName("firstUserMedium"))
              .addDimensions(Dimension.newBuilder().setName("firstUserCampaignName"))
              .addMetrics(Metric.newBuilder().setName("sessions"))
              .addMetrics(Metric.newBuilder().setName("conversions"))
              .addMetrics(Metric.newBuilder().setName("totalRevenue"))
              .setLimit(100000)
              .setOffset(100000)
              .build();

      // Make the request.
      response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithPaginationSample.java

Python

google-analytics-data/run_report_with_pagination.py
Buka di Cloud Shell Lihat di GitHub 
    request = RunReportRequest(
        property=f"properties/{property_id}",
        date_ranges=[DateRange(start_date="365daysAgo", end_date="yesterday")],
        dimensions=[
            Dimension(name="firstUserSource"),
            Dimension(name="firstUserMedium"),
            Dimension(name="firstUserCampaignName"),
        ],
        metrics=[
            Metric(name="sessions"),
            Metric(name="conversions"),
            Metric(name="totalRevenue"),
        ],
        limit=100000,
        offset=0,
    )
    response = client.run_report(request)
run_report_with_pagination.py

Parameter rowCount dalam respons menunjukkan jumlah total baris, terlepas dari nilai limit dan offset dalam permintaan. Misalnya, jika respons menampilkan "rowCount": 272345, Anda memerlukan tiga permintaan yang masing-masing terdiri dari 100.000 baris untuk mengambil semua data.

Berikut contoh permintaan untuk 100.000 baris berikutnya. Semua parameter lainnya, seperti dateRange, dimensions, dan metrics harus sama dengan permintaan pertama.

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    ...
    "limit": 100000,
    "offset": 100000
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithPagiNSample.java
Buka di Cloud Shell Lihat di GitHub 
      request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("365daysAgo").setEndDate("yesterday"))
              .addDimensions(Dimension.newBuilder().setName("firstUserSource"))
              .addDimensions(Dimension.newBuilder().setName("firstUserMedium"))
              .addDimensions(Dimension.newBuilder().setName("firstUserCampaignName"))
              .addMetrics(Metric.newBuilder().setName("sessions"))
              .addMetrics(Metric.newBuilder().setName("conversions"))
              .addMetrics(Metric.newBuilder().setName("totalRevenue"))
              .setLimit(100000)
              .setOffset(100000)
              .build();

      // Make the request.
      response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
RunReportWithPaginationSample.java

Python

google-analytics-data/run_report_with_pagination.py
Buka di Cloud Shell Lihat di GitHub 
    request = RunReportRequest(
        property=f"properties/{property_id}",
        date_ranges=[DateRange(start_date="365daysAgo", end_date="yesterday")],
        dimensions=[
            Dimension(name="firstUserSource"),
            Dimension(name="firstUserMedium"),
            Dimension(name="firstUserCampaignName"),
        ],
        metrics=[
            Metric(name="sessions"),
            Metric(name="conversions"),
            Metric(name="totalRevenue"),
        ],
        limit=100000,
        offset=100000,
    )
    response = client.run_report(request)
run_report_with_pagination.py

Anda dapat menggunakan nilai offset, misalnya 200000 atau 300000, untuk mengambil hasil berikutnya. Semua parameter lain seperti dateRange, dimensions, dan metrics harus sama dengan permintaan pertama.

Gunakan beberapa rentang tanggal

Satu permintaan laporan dapat mengambil data untuk beberapa dateRanges. Misalnya, laporan ini membandingkan dua minggu pertama untuk Agustus 2022 dan 2023:

HTTP

POST https://analyticsdata.googleapis.com/v1beta/properties/GA4_PROPERTY_ID:runReport
  {
    "dateRanges": [
      {
        "startDate": "2022-08-01",
        "endDate": "2022-08-14"
      },
      {
        "startDate": "2023-08-01",
        "endDate": "2023-08-14"
      }
    ],
    "dimensions": [{ "name": "platform" }],
    "metrics": [{ "name": "activeUsers" }]
  }

Java

google-analytics-data/src/main/java/com/google/analytics/data/samples/RunReportWithDateRangesSample.java
Buka di Cloud Shell Lihat di GitHub 

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.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;

/**
 * Google Analytics Data API sample application demonstrating the usage of date ranges in a report.
 *
 * <p>See
 * https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport#body.request_body.FIELDS.date_ranges
 * 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.RunReportWithDateRangesSample"
 * }</pre>
 */
public class RunReportWithDateRangesSample {

  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";
    sampleRunReportWithDateRanges(propertyId);
  }

  // Runs a report using two date ranges.
  static void sampleRunReportWithDateRanges(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()) {
      RunReportRequest request =
          RunReportRequest.newBuilder()
              .setProperty("properties/" + propertyId)
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("2019-08-01").setEndDate("2019-08-14"))
              .addDateRanges(
                  DateRange.newBuilder().setStartDate("2020-08-01").setEndDate("2020-08-14"))
              .addDimensions(Dimension.newBuilder().setName("platform"))
              .addMetrics(Metric.newBuilder().setName("activeUsers"))
              .build();

      // Make the request.
      RunReportResponse response = analyticsData.runReport(request);
      // Prints the response using a method in RunReportSample.java
      RunReportSample.printRunResponseResponse(response);
    }
  }
}
RunReportWithDateRangesSample.java

Python

google-analytics-data/run_report_with_date_ranges.py
Buka di Cloud Shell Lihat di GitHub 
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    RunReportRequest,
)

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_report_with_date_ranges(property_id)


def run_report_with_date_ranges(property_id="YOUR-GA4-PROPERTY-ID"):
    """Runs a report using two date ranges."""
    client = BetaAnalyticsDataClient()

    request = RunReportRequest(
        property=f"properties/{property_id}",
        date_ranges=[
            DateRange(start_date="2019-08-01", end_date="2019-08-14"),
            DateRange(start_date="2020-08-01", end_date="2020-08-14"),
        ],
        dimensions=[Dimension(name="platform")],
        metrics=[Metric(name="activeUsers")],
    )
    response = client.run_report(request)
    print_run_report_response(response)


run_report_with_date_ranges.py

Jika Anda menyertakan beberapa dateRanges dalam permintaan, kolom dateRange akan otomatis ditambahkan ke respons. Jika kolom dateRange adalah date_range_0, data baris tersebut adalah untuk rentang tanggal pertama. Jika kolom dateRange adalah date_range_1, data baris tersebut adalah untuk rentang tanggal kedua.

Berikut adalah contoh respons untuk dua rentang tanggal:

{
  "dimensionHeaders": [
    {
      "name": "platform"
    },
    {
      "name": "dateRange"
    }
  ],
  "metricHeaders": [
    {
      "name": "activeUsers",
      "type": "TYPE_INTEGER"
    }
  ],
  "rows": [
    {
      "dimensionValues": [
        {
          "value": "iOS"
        },
        {
          "value": "date_range_0"
        }
      ],
      "metricValues": [
        {
          "value": "774"
        }
      ]
    },
    {
      "dimensionValues": [
        {
          "value": "Android"
        },
        {
          "value": "date_range_1"
        }
      ],
      "metricValues": [
        {
          "value": "335"
        }
      ]
    },
    ...
  ],
}

Langkah berikutnya

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