Ten przewodnik wyjaśnia, jak utworzyć podstawowy raport dotyczący danych Analytics za pomocą interfejsu Google Analytics Data API w wersji 1. Raporty z interfejsu Data API w wersji 1 są podobne do raportów, które możesz generować w sekcji Raporty interfejsu Google Analytics.
Ten przewodnik dotyczy podstawowego raportowania, czyli ogólnej funkcji raportowania interfejsu Data API. Interfejs Data API w wersji 1 ma też specjalistyczne raportowanie w czasie rzeczywistym i raportowanie ścieżek.
runReport to zalecana metoda w przypadku zapytań. Jest ona używana we wszystkich przykładach w tym przewodniku. Omówienie innych podstawowych metod raportowania znajdziesz w sekcji zaawansowane funkcje. Aby przetestować zapytania, skorzystaj z Eksploratora zapytań.
Raporty – omówienie
Raporty to tabele danych o zdarzeniach w usłudze w Google Analytics. Każda tabela raportu zawiera wymiary i dane, o które prosisz w zapytaniu, a dane są umieszczone w poszczególnych wierszach.
Używaj filtrów, aby zwracać tylko wiersze spełniające określony warunek, i stronicowania, aby poruszać się po wynikach.
Oto przykładowa tabela raportu, która zawiera 1 wymiar (Country) i 1 rodzaj danych (activeUsers):
| Kraj | Aktywni użytkownicy |
|---|---|
| Japonia | 2541 |
| Francja | 12 |
Określanie źródła danych
Każda runReport prośba wymaga podania identyfikatora usługi w Google Analytics. Wskazana usługa w Analytics jest używana jako zbiór danych dla tego zapytania. Oto przykład:
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
Odpowiedź na to żądanie zawiera tylko dane z usługi w Analytics, którą określisz jako GA_PROPERTY_ID.
Jeśli używasz bibliotek klienta interfejsu Data API, określ źródło danych w parametrze property w formacie properties/GA_PROPERTY_ID. Przykłady użycia bibliotek klienta znajdziesz w przewodniku dla początkujących.
Jeśli chcesz uwzględniać w raportach zdarzenia Measurement Protocol, przeczytaj artykuł Wysyłanie zdarzeń Measurement Protocol do Google Analytics.
Wygeneruj raport
Aby wygenerować raport, utwórz obiekt RunReportRequest.
Zalecamy rozpoczęcie od tych parametrów:
- Prawidłowy wpis w polu
dateRanges. - Co najmniej 1 prawidłowy wpis w polu
dimensions. - Co najmniej 1 prawidłowy wpis w polu
metrics.
Oto przykładowe żądanie z zalecanymi polami:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
"dateRanges": [{ "startDate": "2023-09-01"", "endDate": "2023-09-15" }],
"dimensions": [{ "name": "country" }],
"metrics": [{ "name": "activeUsers" }]
}
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.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()); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyId Your GA-4 Property ID */ function run_report(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDateRanges([ new DateRange([ 'start_date' => '2020-09-01', 'end_date' => '2020-09-15', ]), ]) ->setDimensions([ new Dimension([ 'name' => 'country', ]), ]) ->setMetrics([ new Metric([ 'name' => 'activeUsers', ]), ]); $response = $client->runReport($request); printRunReportResponse($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponse(RunReportResponse $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) { print $row->getDimensionValues()[0]->getValue() . ' ' . $row->getMetricValues()[0]->getValue() . PHP_EOL; } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( DateRange, Dimension, Metric, 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}")
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // 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 of active users grouped by country. async function runReport() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'country', }, ], metrics: [ { name: 'activeUsers', }, ], dateRanges: [ { startDate: '2020-09-01', endDate: '2020-09-15', }, ], }); printRunReportResponse(response); } // 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}`, ); }); } runReport();
Wysyłanie zapytań o dane
Metrics to ilościowe pomiary danych zdarzeń. W żądaniach runReport musisz określić co najmniej 1 rodzaj danych.
Pełną listę wskaźników, o które możesz wysyłać zapytania, znajdziesz w sekcji Dane interfejsu API.
Oto przykładowe żądanie, które zawiera 3 rodzaje danych pogrupowanych według wymiaru date:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
"dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
"dimensions": [{ "name": "date" }],
"metrics": [
{
"name": "activeUsers"
},
{
"name": "newUsers"
},
{
"name": "totalRevenue"
}
],
}
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyID Your GA-4 Property ID * Runs a report of active users grouped by three metrics. */ function run_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 RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'date'])]) ->setMetrics([ new Metric(['name' => 'activeUsers']), new Metric(['name' => 'newUsers']), new Metric(['name' => 'totalRevenue']) ]) ->setDateRanges([ new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'today', ]) ]); $response = $client->runReport($request); printRunReportResponseWithMultipleMetrics($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithMultipleMetrics(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( DateRange, Dimension, Metric, RunReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_report_with_multiple_metrics(property_id) def run_report_with_multiple_metrics(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a report of active users, new users and total revenue grouped by date dimension.""" client = BetaAnalyticsDataClient() # Runs a report of active users grouped by three dimensions. request = RunReportRequest( property=f"properties/{property_id}", dimensions=[Dimension(name="date")], metrics=[ Metric(name="activeUsers"), Metric(name="newUsers"), Metric(name="totalRevenue"), ], date_ranges=[DateRange(start_date="7daysAgo", end_date="today")], ) response = client.run_report(request) print_run_report_response(response)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Initialize client that will be used to send requests. This client only // needs to be created once, and can be reused for multiple requests. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a report of active users grouped by three metrics. async function runReportWithMultipleMetrics() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'date', }, ], metrics: [ { name: 'activeUsers', }, { name: 'newUsers', }, { name: 'totalRevenue', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'today', }, ], }); printRunReportResponse(response); } runReportWithMultipleMetrics(); // 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}`, ); }); }
Oto przykładowa odpowiedź, która pokazuje 1135 aktywnych użytkowników, 512 nowych użytkowników i 73, 0841 całkowitych przychodów w walucie usługi w Analytics w dniu 20231025 (25 października 2023 r.).
"rows": [
...
{
"dimensionValues": [
{
"value": "20231025"
}
],
"metricValues": [
{
"value": "1135"
},
{
"value": "512"
},
{
"value": "73.0841"
}
]
},
...
],
Przeczytaj odpowiedź
Odpowiedź raportu zawiera nagłówek i wiersze danych. Nagłówek składa się z elementów DimensionHeaders i MetricHeaders, które zawierają listę kolumn w raporcie. Każdy wiersz składa się z elementów DimensionValues i MetricValues. Kolejność kolumn jest spójna w żądaniu, nagłówku i wierszach.
Oto przykładowa odpowiedź na poprzednie przykładowe żądanie:
{
"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
}
Grupowanie i filtrowanie danych
Wymiary to atrybuty jakościowe, których możesz używać do grupowania i filtrowania danych. Na przykład wymiar city wskazuje miasto, np. Paris lub New York, w którym zostało wywołane każde zdarzenie. Wymiary są opcjonalne w przypadku żądań runReport. W każdym żądaniu możesz użyć maksymalnie 9 wymiarów.
Pełną listę wymiarów, których możesz używać do grupowania i filtrowania danych, znajdziesz w sekcji Wymiary interfejsu API.
Grupa
Oto przykładowe żądanie, które grupuje aktywnych użytkowników według 3 wymiarów:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
"dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
"dimensions": [
{
"name": "country"
},
{
"name": "region"
},
{
"name": "city"
}
],
"metrics": [{ "name": "activeUsers" }]
}
```
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyID Your GA-4 Property ID * Runs a report of active users grouped by three dimensions. */ function run_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 RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([ new Dimension(['name' => 'country']), new Dimension(['name' => 'region']), new Dimension(['name' => 'city']), ]) ->setMetrics([new Metric(['name' => 'activeUsers'])]) ->setDateRanges([ new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'today', ]) ]); $response = $client->runReport($request); printRunReportResponseWithMultipleDimensions($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithMultipleDimensions(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( DateRange, Dimension, Metric, RunReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_report_with_multiple_dimensions(property_id) def run_report_with_multiple_dimensions(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a report of active users grouped by three dimensions.""" client = BetaAnalyticsDataClient() request = RunReportRequest( property=f"properties/{property_id}", dimensions=[ Dimension(name="country"), Dimension(name="region"), Dimension(name="city"), ], metrics=[Metric(name="activeUsers")], date_ranges=[DateRange(start_date="7daysAgo", end_date="today")], ) response = client.run_report(request) print_run_report_response(response)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Initialize client that will be used to send requests. This client only // needs to be created once, and can be reused for multiple requests. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a report of active users grouped by three dimensions. async function runReportWithMultipleDimensions() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'country', }, { name: 'region', }, { name: 'city', }, ], metrics: [ { name: 'activeUsers', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'today', }, ], }); printRunReportResponse(response); } runReportWithMultipleDimensions(); // 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}`, ); }); }
Oto przykładowy wiersz raportu dotyczący poprzedniego żądania. Ten wiersz pokazuje, że w określonym zakresie dat było 47 aktywnych użytkowników, którzy wywołali zdarzenia w Kapsztadzie w Republice Południowej Afryki.
"rows": [
...
{
"dimensionValues": [
{
"value": "South Africa"
},
{
"value": "Western Cape"
},
{
"value": "Cape Town"
}
],
"metricValues": [
{
"value": "47"
}
]
},
...
],
Filtruj
Generujesz raporty z danymi tylko dla określonych wartości wymiarów. Aby filtrować wymiary, w polu dimensionFilter wpisz FilterExpression.
Oto przykład, który zwraca raport szeregów czasowych dotyczący wartości eventCount, gdy eventName ma wartość first_open dla każdego date :
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
"dateRanges": [{ "startDate": "7daysAgo", "endDate": "yesterday" }],
"dimensions": [{ "name": "date" }],
"metrics": [{ "name": "eventCount" }],
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"stringFilter": {
"value": "first_open"
}
}
},
}
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Filter; use Google\Analytics\Data\V1beta\Filter\StringFilter; use Google\Analytics\Data\V1beta\FilterExpression; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyId Your GA-4 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. */ function run_report_with_dimension_filter(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'date'])]) ->setMetrics([new Metric(['name' => 'eventCount'])]) ->setDateRanges([ new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'yesterday', ]) ]) ->setDimensionFilter(new FilterExpression([ 'filter' => new Filter([ 'field_name' => 'eventName', 'string_filter' => new StringFilter([ 'value' => 'first_open' ]), ]), ])); $response = $client->runReport($request); printRunReportResponseWithDimensionFilter($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithDimensionFilter(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
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)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // 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 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. async function runReportWithDimensionFilter() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'date', }, ], metrics: [ { name: 'eventCount', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'yesterday', }, ], dimensionFilter: { filter: { fieldName: 'eventName', stringFilter: { value: 'first_open', }, }, }, }); printRunReportResponse(response); } runReportWithDimensionFilter(); // 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}`, ); }); }
Oto kolejny przykład FilterExpression, w którym andGroup zawiera tylko dane spełniające wszystkie kryteria na liście wyrażeń. Ten warunek dimensionFilter jest spełniony, gdy browser ma wartość Chrome i countryId ma wartość US:
HTTP
...
"dimensionFilter": {
"andGroup": {
"expressions": [
{
"filter": {
"fieldName": "browser",
"stringFilter": {
"value": "Chrome"
}
}
},
{
"filter": {
"fieldName": "countryId",
"stringFilter": {
"value": "US"
}
}
}
]
}
},
...
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Filter; use Google\Analytics\Data\V1beta\Filter\StringFilter; use Google\Analytics\Data\V1beta\FilterExpression; use Google\Analytics\Data\V1beta\FilterExpressionList; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyId Your GA-4 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. */ function run_report_with_multiple_dimension_filters(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'browser'])]) ->setMetrics([new Metric(['name' => 'activeUsers'])]) ->setDateRanges([ new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'yesterday', ]), ]) ->setDimensionFilter(new FilterExpression([ 'and_group' => new FilterExpressionList([ 'expressions' => [ new FilterExpression([ 'filter' => new Filter([ 'field_name' => 'browser', 'string_filter' => new StringFilter([ 'value' => 'Chrome', ]) ]), ]), new FilterExpression([ 'filter' => new Filter([ 'field_name' => 'countryId', 'string_filter' => new StringFilter([ 'value' => 'US', ]) ]), ]), ], ]), ])); $response = $client->runReport($request); printRunReportResponseWithMultipleDimensionFilters($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithMultipleDimensionFilters(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
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)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // 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 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. async function runReportWithMultipleDimensionFilters() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'browser', }, ], metrics: [ { name: 'activeUsers', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'yesterday', }, ], dimensionFilter: { andGroup: { expressions: [ { filter: { fieldName: 'browser', stringFilter: { value: 'Chrome', }, }, }, { filter: { fieldName: 'countryId', stringFilter: { value: 'US', }, }, }, ], }, }, }); printRunReportResponse(response); } runReportWithMultipleDimensionFilters(); // 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}`, ); }); }
orGroup obejmuje dane, które spełniają dowolne kryterium z listy wyrażeń.
Symbol notExpression wyklucza dane pasujące do wyrażenia wewnętrznego. Oto
dimensionFilter, która zwraca dane tylko wtedy, gdy pageTitle nie jest My
Homepage. Raport zawiera dane zdarzeń dla wszystkich użytkowników pageTitlez wyjątkiemMy
Homepage:
HTTP
...
"dimensionFilter": {
"notExpression": {
"filter": {
"fieldName": "pageTitle",
"stringFilter": {
"value": "My Homepage"
}
}
}
},
...
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Filter; use Google\Analytics\Data\V1beta\Filter\StringFilter; use Google\Analytics\Data\V1beta\FilterExpression; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * 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. * @param string $propertyId Your GA-4 Property ID */ function run_report_with_dimension_exclude_filter(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'pageTitle'])]) ->setMetrics([new Metric(['name' => 'sessions'])]) ->setDateRanges([new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'yesterday', ]) ]) ->setDimensionFilter(new FilterExpression([ 'not_expression' => new FilterExpression([ 'filter' => new Filter([ 'field_name' => 'pageTitle', 'string_filter' => new StringFilter([ 'value' => 'My Homepage', ]), ]), ]), ])); $response = $client->runReport($request); printRunReportResponseWithDimensionExcludeFilter($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithDimensionExcludeFilter(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
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)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // 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 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. async function runReportWithDimensionExcludeFilter() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'pageTitle', }, ], metrics: [ { name: 'sessions', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'yesterday', }, ], dimensionFilter: { notExpression: { filter: { fieldName: 'pageTitle', stringFilter: { value: 'My Homepage', }, }, }, }, }); printRunReportResponse(response); } runReportWithDimensionExcludeFilter(); // 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}`, ); }); }
Symbol inListFilter dopasowuje dane do dowolnej wartości z listy. Oto zapytanie,dimensionFilter które zwraca dane zdarzeń, w których eventName to dowolna z wartości:purchase, in_app_purchase i app_store_subscription_renew:
HTTP
...
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"inListFilter": {
"values": ["purchase",
"in_app_purchase",
"app_store_subscription_renew"]
}
}
},
...
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Filter; use Google\Analytics\Data\V1beta\Filter\InListFilter; use Google\Analytics\Data\V1beta\FilterExpression; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * 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. * @param string $propertyId Your GA-4 Property ID */ function run_report_with_dimension_in_list_filter(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDimensions([new Dimension(['name' => 'eventName'])]) ->setMetrics([new Metric(['name' => 'sessions'])]) ->setDateRanges([new DateRange([ 'start_date' => '7daysAgo', 'end_date' => 'yesterday', ]) ]) ->setDimensionFilter(new FilterExpression([ 'filter' => new Filter([ 'field_name' => 'eventName', 'in_list_filter' => new InListFilter([ 'values' => [ 'purchase', 'in_app_purchase', 'app_store_subscription_renew', ], ]), ]), ])); $response = $client->runReport($request); printRunReportResponseWithDimensionInListFilter($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithDimensionInListFilter(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
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)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // 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 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. async function runReportWithDimensionInListFilter() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dimensions: [ { name: 'eventName', }, ], metrics: [ { name: 'sessions', }, ], dateRanges: [ { startDate: '7daysAgo', endDate: 'yesterday', }, ], dimensionFilter: { filter: { fieldName: 'eventName', inListFilter: { values: [ 'purchase', 'in_app_purchase', 'app_store_subscription_renew', ], }, }, }, }); printRunReportResponse(response); } runReportWithDimensionInListFilter(); // 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}`, ); }); }
Poruszanie się po długich raportach
Domyślnie raport zawiera tylko pierwsze 10 tys. wierszy danych zdarzeń. Aby wyświetlić w raporcie maksymalnie 250 tys. wierszy, możesz dodać "limit": 250000 w RunReportRequest.
W przypadku raportów zawierających ponad 250 tys. wierszy musisz wysłać serię żądań i przejrzeć wyniki. Oto na przykład żądanie dotyczące pierwszych 250 tys. wierszy:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
...
"limit": 250000,
"offset": 0
}
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient; import com.google.analytics.data.v1beta.DateRange; import com.google.analytics.data.v1beta.Dimension; import com.google.analytics.data.v1beta.Metric; import com.google.analytics.data.v1beta.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("keyEvents")) .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("keyEvents")) .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); } } }
PHP
// Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDateRanges([ new DateRange([ 'start_date' => '350daysAgo', 'end_date' => 'yesterday', ]) ]) ->setDimensions([ new Dimension(['name' => 'firstUserSource']), new Dimension(['name' => 'firstUserMedium']), new Dimension(['name' => 'firstUserCampaignName']), ]) ->setMetrics([ new Metric(['name' => 'sessions']), new Metric(['name' => 'keyEvents']), new Metric(['name' => 'totalRevenue']), ]) ->setLimit(100000) ->setOffset(0); $requestCount = 1; printf('Sending request #%d' . PHP_EOL, $requestCount); $response = $client->runReport($request);
Python
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="keyEvents"), Metric(name="totalRevenue"), ], limit=100000, offset=0, ) response = client.run_report(request)
Node.js
const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dateRanges: [ { startDate: '350daysAgo', endDate: 'yesterday', }, ], dimensions: [ { name: 'firstUserSource', }, { name: 'firstUserMedium', }, { name: 'firstUserCampaignName', }, ], metrics: [ { name: 'sessions', }, { name: 'keyEvents', }, { name: 'totalRevenue', }, ], limit: 100000, offset: 0, });
Parametr rowCount w odpowiedzi wskazuje łączną liczbę wierszy niezależnie od wartości limit i offset w żądaniu. Jeśli na przykład w odpowiedzi pojawi się "rowCount": 572345, musisz wysłać 3 żądania:
| odliczyć | limit | Zakres zwróconych indeksów wierszy |
|---|---|---|
0 |
250000 |
[ 0, 249999] |
250000 |
250000 |
[250000, 499999] |
500000 |
250000 |
[500000, 572345] |
Oto przykładowe żądanie dotyczące kolejnych 250 tys. wierszy. Wszystkie pozostałe parametry, takie jak dateRange, dimensions i metrics, powinny być takie same jak w przypadku pierwszego żądania.
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
{
...
"limit": 250000,
"offset": 250000
}
Java
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("keyEvents")) .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);
PHP
$rowsReceived = count($response->getRows()); $totalRows = $response->getRowCount(); // Run the same report with an increased offset value to retrieve each additional // page until all rows are received. while ($rowsReceived < $totalRows) { $request = $request->setOffset($rowsReceived); $requestCount++; printf('Sending request #%d' . PHP_EOL, $requestCount); $response = $client->runReport($request); $rowsReceived += count($response->getRows()); printRunReportResponseWithPagination($response, $requestCount); }
Python
request = RunReportRequest( property=f"properties/{property_id}", date_ranges=[DateRange(start_date="365daysAgo", end_date="yesterday")], dimensions=[ Dimension(name="firstUserSource"), Dimension(name="firstUserMedium"), Dimension(name="firstUserCampaignName"), ], metrics=[ Metric(name="sessions"), Metric(name="keyEvents"), Metric(name="totalRevenue"), ], limit=100000, offset=100000, ) response = client.run_report(request)
Node.js
const [secondResponse] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dateRanges: [ { startDate: '350daysAgo', endDate: 'yesterday', }, ], dimensions: [ { name: 'firstUserSource', }, { name: 'firstUserMedium', }, { name: 'firstUserCampaignName', }, ], metrics: [ { name: 'sessions', }, { name: 'keyEvents', }, { name: 'totalRevenue', }, ], limit: 100000, offset: 100000, });
Korzystanie z wielu zakresów dat
Jedno żądanie raportu może pobierać dane z wielu dateRanges. Na przykład ten raport porównuje pierwsze 2 tygodnie sierpnia w 2022 r. i 2023 r.:
HTTP
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_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
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); } } }
PHP
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient; use Google\Analytics\Data\V1beta\DateRange; use Google\Analytics\Data\V1beta\Dimension; use Google\Analytics\Data\V1beta\Metric; use Google\Analytics\Data\V1beta\MetricType; use Google\Analytics\Data\V1beta\RunReportRequest; use Google\Analytics\Data\V1beta\RunReportResponse; /** * @param string $propertyID Your GA-4 Property ID * Runs a report using two date ranges. */ function run_report_with_date_ranges(string $propertyId) { // Create an instance of the Google Analytics Data API client library. $client = new BetaAnalyticsDataClient(); // Make an API call. $request = (new RunReportRequest()) ->setProperty('properties/' . $propertyId) ->setDateRanges([ new DateRange([ 'start_date' => '2019-08-01', 'end_date' => '2019-08-14', ]), new DateRange([ 'start_date' => '2020-08-01', 'end_date' => '2020-08-14', ]), ]) ->setDimensions([new Dimension(['name' => 'platform'])]) ->setMetrics([new Metric(['name' => 'activeUsers'])]); $response = $client->runReport($request); printRunReportResponseWithDateRanges($response); } /** * Print results of a runReport call. * @param RunReportResponse $response */ function printRunReportResponseWithDateRanges(RunReportResponse $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)' . PHP_EOL, $metricHeader->getName(), MetricType::name($metricHeader->getType()) ); } print 'Report result: ' . PHP_EOL; foreach ($response->getRows() as $row) { printf( '%s %s' . PHP_EOL, $row->getDimensionValues()[0]->getValue(), $row->getMetricValues()[0]->getValue() ); } }
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( DateRange, Dimension, Metric, RunReportRequest, ) from run_report import print_run_report_response def run_sample(): """Runs the sample.""" # TODO(developer): Replace this variable with your Google Analytics 4 # property ID before running the sample. property_id = "YOUR-GA4-PROPERTY-ID" run_report_with_date_ranges(property_id) def run_report_with_date_ranges(property_id="YOUR-GA4-PROPERTY-ID"): """Runs a report using two date ranges.""" client = BetaAnalyticsDataClient() request = RunReportRequest( property=f"properties/{property_id}", date_ranges=[ DateRange(start_date="2019-08-01", end_date="2019-08-14"), DateRange(start_date="2020-08-01", end_date="2020-08-14"), ], dimensions=[Dimension(name="platform")], metrics=[Metric(name="activeUsers")], ) response = client.run_report(request) print_run_report_response(response)
Node.js
// TODO(developer): Uncomment this variable and replace with your // Google Analytics 4 property ID before running the sample. // propertyId = 'YOUR-GA4-PROPERTY-ID'; // Imports the Google Analytics Data API client library. const {BetaAnalyticsDataClient} = require('@google-analytics/data'); // Initialize client that will be used to send requests. This client only // needs to be created once, and can be reused for multiple requests. const analyticsDataClient = new BetaAnalyticsDataClient(); // Runs a report using two date ranges. async function runReportWithDateRanges() { const [response] = await analyticsDataClient.runReport({ property: `properties/${propertyId}`, dateRanges: [ { startDate: '2019-08-01', endDate: '2019-08-14', }, { startDate: '2020-08-01', endDate: '2020-08-14', }, ], dimensions: [ { name: 'platform', }, ], metrics: [ { name: 'activeUsers', }, ], }); printRunReportResponse(response); } runReportWithDateRanges(); // 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}`, ); }); }
Jeśli w żądaniu umieścisz kilka znaków dateRanges, do odpowiedzi zostanie automatycznie dodana kolumna dateRange. Gdy w kolumnie dateRange jest wartość date_range_0, dane w tym wierszu dotyczą pierwszego zakresu dat. Gdy w kolumnie dateRange znajduje się wartość date_range_1, dane w tym wierszu dotyczą drugiego zakresu dat.
Oto przykładowa odpowiedź dla 2 zakresów dat:
{
"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"
}
]
},
...
],
}
Dalsze kroki
Więcej informacji o zaawansowanych funkcjach raportowania interfejsu Data API w wersji 1 znajdziesz w sekcjach funkcje zaawansowane i raportowanie w czasie rzeczywistym.