Halaman ini menunjukkan cara memulai Google Analytics Data API v1 di aplikasi favorit Anda bahasa pemrograman menggunakan Library klien.
Langkah 1. Mengaktifkan API
Klik tombol berikut untuk membuat project Google Cloud baru, secara otomatis mengaktifkan Google Analytics Data API v1 dan membuat akun layanan yang diperlukan untuk tutorial ini:
Mengaktifkan Google Analytics Data API v1Dalam dialog yang muncul, klik DOWNLOAD KONFIGURASI KLIEN, lalu simpan file.
credentials.json ke direktori kerja Anda.
Langkah 2. Menambahkan akun layanan ke properti Google Analytics
Dengan menggunakan editor teks, buka file credentials.json yang didownload di
langkah sebelumnya dan cari kolom client_email untuk mendapatkan
alamat email akun layanan, seperti
"quickstart@PROJECT-ID.iam.gserviceaccount.com".
Gunakan alamat email ini untuk menambahkan pengguna ke halaman Properti Analytics yang ingin Anda akses menggunakan Google Analytics Data API v1. Untuk tutorial ini, hanya izin Pelihat tidak diperlukan.
Langkah 3. Mengonfigurasi autentikasi
Aplikasi ini menunjukkan penggunaan Google Analytics Data API v1 menggunakan layanan akun kredensial.
Baca selengkapnya untuk petunjuk tentang cara membuat dan menyetel kredensial akun layanan untuk aplikasi.
Salah satu cara untuk memberikan kredensial akun layanan adalah dengan menyetel Variabel lingkungan GOOGLE_APPLICATION_CREDENTIALS, klien API akan menggunakan nilai variabel ini untuk menemukan akun layanan kunci file JSON.
Untuk menetapkan kredensial aplikasi dalam contoh ini, jalankan perintah berikut dan gunakan jalur ke file JSON akun layanan yang didownload di Langkah 1:
export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"
Contoh:
export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/credentials.json"
Langkah 4. Menginstal library klien
Java
Python
Node.js
.NET
PHP
Go
go get google.golang.org/genproto/googleapis/analytics/data/v1beta
Melakukan panggilan API
Sekarang Anda dapat menggunakan Google Analytics Data API untuk mengkueri saat ini. Jalankan kode berikut untuk melakukan panggilan pertama Anda ke API:
Java
import com.google.analytics.data.v1beta.BetaAnalyticsDataClient;
import com.google.analytics.data.v1beta.DateRange;
import com.google.analytics.data.v1beta.Dimension;
import com.google.analytics.data.v1beta.Metric;
import com.google.analytics.data.v1beta.Row;
import com.google.analytics.data.v1beta.RunReportRequest;
import com.google.analytics.data.v1beta.RunReportResponse;
/**
* Google Analytics Data API sample quickstart application.
*
* <p>This application demonstrates the usage of the Analytics Data API using service account
* credentials.
*
* <p>Before you start the application, please review the comments starting with "TODO(developer)"
* and update the code to use correct values.
*
* <p>To run this sample using Maven:
*
* <pre>{@code
* cd google-analytics-data
* mvn compile exec:java -Dexec.mainClass="com.google.analytics.data.samples.QuickstartSample"
* }</pre>
*/
public class QuickstartSample {
public static void main(String... args) throws Exception {
/**
* TODO(developer): Replace this variable with your Google Analytics 4 property ID before
* running the sample.
*/
String propertyId = "YOUR-GA4-PROPERTY-ID";
sampleRunReport(propertyId);
}
// This is an example snippet that calls the Google Analytics Data API and runs a simple report
// on the provided GA4 property id.
static void sampleRunReport(String propertyId) throws Exception {
// Using a default constructor instructs the client to use the credentials
// specified in GOOGLE_APPLICATION_CREDENTIALS environment variable.
try (BetaAnalyticsDataClient analyticsData = BetaAnalyticsDataClient.create()) {
RunReportRequest request =
RunReportRequest.newBuilder()
.setProperty("properties/" + propertyId)
.addDimensions(Dimension.newBuilder().setName("city"))
.addMetrics(Metric.newBuilder().setName("activeUsers"))
.addDateRanges(DateRange.newBuilder().setStartDate("2020-03-31").setEndDate("today"))
.build();
// Make the request.
RunReportResponse response = analyticsData.runReport(request);
System.out.println("Report result:");
// Iterate through every row of the API response.
for (Row row : response.getRowsList()) {
System.out.printf(
"%s, %s%n", row.getDimensionValues(0).getValue(), row.getMetricValues(0).getValue());
}
}
}
}
Python
from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
DateRange,
Dimension,
Metric,
RunReportRequest,
)
def sample_run_report(property_id="YOUR-GA4-PROPERTY-ID"):
"""Runs a simple report on a Google Analytics 4 property."""
# TODO(developer): Uncomment this variable and replace with your
# Google Analytics 4 property ID before running the sample.
# property_id = "YOUR-GA4-PROPERTY-ID"
# Using a default constructor instructs the client to use the credentials
# specified in GOOGLE_APPLICATION_CREDENTIALS environment variable.
client = BetaAnalyticsDataClient()
request = RunReportRequest(
property=f"properties/{property_id}",
dimensions=[Dimension(name="city")],
metrics=[Metric(name="activeUsers")],
date_ranges=[DateRange(start_date="2020-03-31", end_date="today")],
)
response = client.run_report(request)
print("Report result:")
for row in response.rows:
print(row.dimension_values[0].value, row.metric_values[0].value)
Node.js
/**
* TODO(developer): Uncomment this variable and replace with your
* Google Analytics 4 property ID before running the sample.
*/
// propertyId = 'YOUR-GA4-PROPERTY-ID';
// Imports the Google Analytics Data API client library.
const {BetaAnalyticsDataClient} = require('@google-analytics/data');
// Using a default constructor instructs the client to use the credentials
// specified in GOOGLE_APPLICATION_CREDENTIALS environment variable.
const analyticsDataClient = new BetaAnalyticsDataClient();
// Runs a simple report.
async function runReport() {
const [response] = await analyticsDataClient.runReport({
property: `properties/${propertyId}`,
dateRanges: [
{
startDate: '2020-03-31',
endDate: 'today',
},
],
dimensions: [
{
name: 'city',
},
],
metrics: [
{
name: 'activeUsers',
},
],
});
console.log('Report result:');
response.rows.forEach((row) => {
console.log(row.dimensionValues[0], row.metricValues[0]);
});
}
runReport();
.NET
using Google.Analytics.Data.V1Beta;
using System;
namespace AnalyticsSamples
{
class QuickStart
{
static void SampleRunReport(string propertyId="YOUR-GA4-PROPERTY-ID")
{
/**
* TODO(developer): Uncomment this variable and replace with your
* Google Analytics 4 property ID before running the sample.
*/
// propertyId = "YOUR-GA4-PROPERTY-ID";
// Using a default constructor instructs the client to use the credentials
// specified in GOOGLE_APPLICATION_CREDENTIALS environment variable.
BetaAnalyticsDataClient client = BetaAnalyticsDataClient.Create();
// Initialize request argument(s)
RunReportRequest request = new RunReportRequest
{
Property = "properties/" + propertyId,
Dimensions = { new Dimension{ Name="city"}, },
Metrics = { new Metric{ Name="activeUsers"}, },
DateRanges = { new DateRange{ StartDate="2020-03-31", EndDate="today"}, },
};
// Make the request
RunReportResponse response = client.RunReport(request);
Console.WriteLine("Report result:");
foreach(Row row in response.Rows)
{
Console.WriteLine("{0}, {1}", row.DimensionValues[0].Value, row.MetricValues[0].Value);
}
}
static int Main(string[] args)
{
if (args.Length > 0) {
SampleRunReport(args[0]);
} else {
SampleRunReport();
}
return 0;
}
}
}
PHP
require 'vendor/autoload.php';
use Google\Analytics\Data\V1beta\Client\BetaAnalyticsDataClient;
use Google\Analytics\Data\V1beta\DateRange;
use Google\Analytics\Data\V1beta\Dimension;
use Google\Analytics\Data\V1beta\Metric;
use Google\Analytics\Data\V1beta\RunReportRequest;
/**
* TODO(developer): Replace this variable with your Google Analytics 4
* property ID before running the sample.
*/
$property_id = 'YOUR-GA4-PROPERTY-ID';
// Using a default constructor instructs the client to use the credentials
// specified in GOOGLE_APPLICATION_CREDENTIALS environment variable.
$client = new BetaAnalyticsDataClient();
// Make an API call.
$request = (new RunReportRequest())
->setProperty('properties/' . $property_id)
->setDateRanges([
new DateRange([
'start_date' => '2020-03-31',
'end_date' => 'today',
]),
])
->setDimensions([new Dimension([
'name' => 'city',
]),
])
->setMetrics([new Metric([
'name' => 'activeUsers',
])
]);
$response = $client->runReport($request);
// Print results of an API call.
print 'Report result: ' . PHP_EOL;
foreach ($response->getRows() as $row) {
print $row->getDimensionValues()[0]->getValue()
. ' ' . $row->getMetricValues()[0]->getValue() . PHP_EOL;
}