คู่มือนี้จะอธิบายวิธีสร้างรายงานพื้นฐานสําหรับข้อมูล Analytics โดยใช้ Google Analytics Data API v1 รายงานจาก Data API v1 จะคล้ายกับรายงานที่คุณสร้างได้ในส่วนรายงานของ UI ของ Google Analytics
คู่มือนี้ครอบคลุมการรายงานหลัก ซึ่งเป็นฟีเจอร์การรายงานทั่วไปของ Data API นอกจากนี้ Data API v1 ยังมีการรายงานแบบเรียลไทม์และการรายงาน Funnel เฉพาะทางอีกด้วย
runReport
เป็นวิธีที่แนะนําสําหรับการค้นหา และใช้ในตัวอย่างทั้งหมดตลอดทั้งคู่มือนี้ ดูฟีเจอร์ขั้นสูงสำหรับภาพรวมของวิธีการรายงานหลักอื่นๆ ลองใช้เครื่องมือสํารวจข้อความค้นหาเพื่อทดสอบข้อความค้นหา
Reports overview
รายงานคือตารางข้อมูลเหตุการณ์สําหรับพร็อพเพอร์ตี้ Google Analytics ตารางรายงานแต่ละตารางจะมีมิติข้อมูลและเมตริกที่ขอในคําค้นหาพร้อมข้อมูลในแถวแต่ละแถว
ใช้ตัวกรองเพื่อแสดงเฉพาะแถวที่ตรงกับเงื่อนไขหนึ่งๆ และการแบ่งหน้าเพื่อไปยังผลการค้นหา
ตารางรายงานตัวอย่างที่แสดงมิติข้อมูล 1 รายการ (Country
) และเมตริก 1 รายการ (activeUsers
) มีดังนี้
ประเทศ | ผู้ใช้ที่ใช้งานอยู่ |
---|---|
ญี่ปุ่น | 2541 |
ฝรั่งเศส | 12 |
ระบุแหล่งข้อมูล
คําขอ runReport
ทุกรายการกำหนดให้คุณระบุรหัสพร็อพเพอร์ตี้ Google Analytics ระบบจะใช้พร็อพเพอร์ตี้ Analytics ที่คุณระบุเป็นชุดข้อมูลสําหรับการค้นหานั้น เช่น
POST https://analyticsdata.googleapis.com/v1beta/properties/GA_PROPERTY_ID:runReport
การตอบกลับจากคำขอนี้มีเฉพาะข้อมูลจากพร็อพเพอร์ตี้ Analytics ที่คุณระบุเป็น GA_PROPERTY_ID
เท่านั้น
หากคุณใช้ไลบรารีของไคลเอ็นต์ Data API ให้ระบุแหล่งข้อมูลในพารามิเตอร์ property
ในรูปแบบ properties/GA_PROPERTY_ID
โปรดดูคู่มือเริ่มใช้งานฉบับย่อเพื่อดูตัวอย่างการใช้ไลบรารีของไคลเอ็นต์
โปรดดูหัวข้อส่งเหตุการณ์ Measurement Protocol ไปยัง Google Analytics หากต้องการรวมเหตุการณ์ Measurement Protocol ไว้ในรายงาน
สร้างรายงาน
หากต้องการสร้างรายงาน ให้สร้างออบเจ็กต์ RunReportRequest
เราขอแนะนำให้เริ่มต้นด้วยพารามิเตอร์ต่อไปนี้
- รายการที่ถูกต้องในช่อง
dateRanges
- รายการที่ถูกต้องอย่างน้อย 1 รายการในฟิลด์
dimensions
- รายการที่ถูกต้องอย่างน้อย 1 รายการในฟิลด์
metrics
ตัวอย่างคำขอที่มีฟิลด์ที่แนะนำมีดังนี้
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();
ค้นหาเมตริก
Metrics
คือการวัดเชิงปริมาณของข้อมูลเหตุการณ์ คุณต้องระบุเมตริกอย่างน้อย 1 รายการในคําขอ runReport
ดูรายการเมตริกทั้งหมดที่คุณค้นหาได้ในเมตริก API
ต่อไปนี้คือตัวอย่างคําขอที่แสดงเมตริก 3 รายการที่จัดกลุ่มตามมิติข้อมูล 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}` ); }); }
ตัวอย่างคําตอบที่แสดงผู้ใช้ที่ใช้งานอยู่ 1,135 คน ผู้ใช้ใหม่ 512 คน และรายได้ทั้งหมด 73.0841 บาทในสกุลเงินของพร็อพเพอร์ตี้ Analytics ในวันที่ 20231025
(25 ตุลาคม 2023)
"rows": [
...
{
"dimensionValues": [
{
"value": "20231025"
}
],
"metricValues": [
{
"value": "1135"
},
{
"value": "512"
},
{
"value": "73.0841"
}
]
},
...
],
อ่านคำตอบ
การตอบกลับรายงานมีส่วนหัวและแถวข้อมูล ส่วนหัวประกอบด้วย DimensionHeaders
และ MetricHeaders
ซึ่งแสดงรายการคอลัมน์ในรายงาน แต่ละแถวประกอบด้วย DimensionValues
และ MetricValues
ลำดับของคอลัมน์ในคำขอ ส่วนหัว และแถวจะสอดคล้องกัน
ตัวอย่างการตอบกลับสําหรับคําขอตัวอย่างก่อนหน้ามีดังนี้
{
"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
}
จัดกลุ่มและกรองข้อมูล
มิติข้อมูลคือแอตทริบิวต์เชิงคุณภาพที่คุณสามารถใช้เพื่อจัดกลุ่มและกรองข้อมูล เช่น มิติข้อมูล city
จะระบุเมือง เช่น Paris
หรือ New York
ซึ่งเป็นต้นทางของเหตุการณ์แต่ละรายการ คุณใช้มิติข้อมูลกับคำขอ runReport
หรือไม่ก็ได้ และจะใช้มิติข้อมูลได้สูงสุด 9 รายการต่อคำขอ
ดูรายการมิติข้อมูลทั้งหมดที่คุณสามารถใช้ในการจัดกลุ่มและกรองข้อมูลได้ที่มิติข้อมูล API
กลุ่ม
ต่อไปนี้คือตัวอย่างคําขอที่จัดกลุ่มผู้ใช้ที่ใช้งานอยู่ออกเป็น 3 มิติ
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}` ); }); }
ต่อไปนี้คือตัวอย่างแถวรายงานสำหรับคำขอก่อนหน้า แถวนี้แสดงว่ามีผู้ใช้ที่ใช้งานอยู่ 47 คนในช่วงวันที่ที่ระบุซึ่งมีเหตุการณ์จากเคปเทาวน์ในแอฟริกาใต้
"rows": [
...
{
"dimensionValues": [
{
"value": "South Africa"
},
{
"value": "Western Cape"
},
{
"value": "Cape Town"
}
],
"metricValues": [
{
"value": "47"
}
]
},
...
],
ตัวกรอง
คุณสร้างรายงานที่มีข้อมูลสำหรับค่าของมิติข้อมูลเฉพาะเท่านั้น หากต้องการกรองมิติข้อมูล ให้ระบุ FilterExpression
ในช่อง dimensionFilter
ต่อไปนี้คือตัวอย่างที่แสดงรายงานอนุกรมเวลาของ eventCount
เมื่อ eventName
เป็น first_open
สําหรับ date
แต่ละรายการ
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}` ); }); }
อีกตัวอย่างหนึ่งของ FilterExpression
ซึ่ง andGroup
มีเฉพาะข้อมูลที่ตรงตามเกณฑ์ทั้งหมดในรายการนิพจน์ dimensionFilter
นี้จะเลือกเมื่อทั้ง browser
เป็น Chrome
และ countryId
เป็น 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
มีข้อมูลที่ตรงกับเกณฑ์ใดก็ได้ในรายการนิพจน์
notExpression
จะยกเว้นข้อมูลที่ตรงกับนิพจน์ภายใน นี่คือตัวอย่าง dimensionFilter
ที่แสดงผลเฉพาะในกรณีที่ pageTitle
ไม่ใช่ My
Homepage
รายงานจะแสดงข้อมูลเหตุการณ์ของ pageTitle
ทั้งหมดยกเว้น My
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}` ); }); }
inListFilter
จะจับคู่ข้อมูลสำหรับค่าใดก็ได้ในรายการ นี่คือตัวอย่าง dimensionFilter
ที่แสดงผลข้อมูลเหตุการณ์โดยที่ eventName
อาจเป็นค่าใดก็ได้ต่อไปนี้ purchase
, in_app_purchase
และ 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}` ); }); }
ไปยังส่วนต่างๆ ในรายงานที่ยาว
โดยค่าเริ่มต้น รายงานจะมีเฉพาะข้อมูลเหตุการณ์ 10,000 แถวแรกเท่านั้น หากต้องการดูแถวสูงสุด 250,000 แถวในรายงาน ให้ใส่ "limit": 250000
ใน RunReportRequest
สำหรับรายงานที่มีมากกว่า 250,000 แถว คุณจะต้องส่งชุดคำขอและหน้าเว็บผ่านผลลัพธ์ ตัวอย่างเช่น คําขอ 250,000 แถวแรกมีดังนี้
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, });
พารามิเตอร์ rowCount
ในการตอบกลับจะระบุจํานวนแถวทั้งหมด ซึ่งไม่ขึ้นอยู่กับค่า limit
และ offset
ในคําขอ ตัวอย่างเช่น หากการตอบกลับแสดง "rowCount": 572345
คุณต้องมีคำขอ 3 รายการดังนี้
ออฟเซ็ต | ขีดจำกัด | ช่วงของดัชนีแถวที่แสดงผล |
---|---|---|
0 |
250000 |
[ 0, 249999] |
250000 |
250000 |
[250000, 499999] |
500000 |
250000 |
[500000, 572345] |
ต่อไปนี้เป็นตัวอย่างคำขอสำหรับ 250,000 แถวถัดไป พารามิเตอร์อื่นๆ ทั้งหมด เช่น dateRange
, dimensions
และ metrics
ควรเหมือนกับคำขอแรก
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, });
ใช้ช่วงวันที่หลายช่วง
คําขอรายงาน 1 รายการสามารถดึงข้อมูลสําหรับdateRanges
หลายรายการได้ ตัวอย่างเช่น รายงานนี้จะเปรียบเทียบ 2 สัปดาห์แรกของเดือนสิงหาคมในปี 2022 กับ 2023
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}` ); }); }
เมื่อคุณรวม dateRanges
หลายรายการไว้ในคำขอ ระบบจะเพิ่มคอลัมน์ dateRange
ลงในคำตอบโดยอัตโนมัติ เมื่อคอลัมน์ dateRange
มีค่าเป็น date_range_0
ข้อมูลของแถวนั้นจะเป็นช่วงวันที่แรก เมื่อคอลัมน์ dateRange
เป็น date_range_1
ข้อมูลของแถวนั้นจะเป็นช่วงวันที่ที่ 2
ต่อไปนี้คือตัวอย่างการตอบกลับสำหรับช่วงวันที่ 2 ช่วง
{
"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"
}
]
},
...
],
}
ขั้นตอนถัดไป
ดูภาพรวมของฟีเจอร์การรายงานขั้นสูงเพิ่มเติมของ Data API เวอร์ชัน 1 ได้ที่ฟีเจอร์ขั้นสูงและการรายงานแบบเรียลไทม์