This page shows you how to get started with the Google Analytics Data API v1 in your favorite programming language using the client Libraries.
Step 1. Enable the API
Click the following button to create a new Google Cloud project, automatically enable the Google Analytics Data API v1 and create the service account needed for this tutorial:
Enable the Google Analytics Data API v1In resulting dialog click DOWNLOAD CLIENT CONFIGURATION and save the file
credentials.json to your working directory.
Step 2. Add service account to the Google Analytics property
Using a text editor, open the credentials.json file downloaded in
the previous step and search for client_email field to obtain the
service account email address, such as
"quickstart@PROJECT-ID.iam.gserviceaccount.com".
Use this email address to add a user to the Google Analytics property you want to access using the Google Analytics Data API v1. For this tutorial, only Viewer permissions are needed.
Step 3. Configure authentication
This application demonstrates the usage of the Google Analytics Data API v1 using service account credentials.
Read more for instructions on creating and setting service account credentials for your application.
One way to provide service account credentials is by setting the GOOGLE_APPLICATION_CREDENTIALS environment variable, the API client will use the value of this variable to find the service account key JSON file.
To set the application credentials in this example, run the following command and use the path to the service account JSON file downloaded at Step 1:
export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"
For example:
export GOOGLE_APPLICATION_CREDENTIALS="/home/user/Downloads/credentials.json"
Step 4. Install the client library
Java
Python
Node.js
.NET
PHP
Go
go get google.golang.org/genproto/googleapis/analytics/data/v1beta
Make an API call
Now you can use the Google Analytics Data API to query a Google Analytics property. Run the following code to perform your first call to the 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;
}