---
title: Get a target audience
description: Get a target audience for a Google Chat organization binding in the Datadog Google Chat integration.
breadcrumbs: Documentation > API > Get a target audience
---

> For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/stefon.simmons/docs-astro-web-10435/llms.txt).

# Get a target audience

## v2 (latest)

| Datadog site      | API endpoint                                                                                                                                   |
| ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------- |
| app.datadoghq.com | GET https://api.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id}     |
| us3.datadoghq.com | GET https://api.us3.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id} |
| us5.datadoghq.com | GET https://api.us5.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id} |
| app.datadoghq.eu  | GET https://api.datadoghq.eu/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id}      |
| ap1.datadoghq.com | GET https://api.ap1.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id} |
| ap2.datadoghq.com | GET https://api.ap2.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id} |
| uk1.datadoghq.com | GET https://api.uk1.datadoghq.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id} |
| app.ddog-gov.com  | GET https://api.ddog-gov.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id}      |
| us2.ddog-gov.com  | GET https://api.us2.ddog-gov.com/api/v2/integration/google-chat/organizations/{organization_binding_id}/target-audiences/{target_audience_id}  |

### Overview

Get a target audience for a Google Chat organization binding in the Datadog Google Chat integration.

### Arguments

#### Path Parameters

| Field                                | Type   | Description                   |
| ------------------------------------ | ------ | ----------------------------- |
| organization_binding_id [*required*] | string | Your organization binding ID. |
| target_audience_id [*required*]      | string | Your target audience ID.      |

### Response

{% tabs %}
{% tab label="200" %}
OK

{% tabs %}
{% tab label="Model" %}
Response containing a Google Chat target audience.

| Parent field | Field                      | Type   | Description                                                                                                                            |
| ------------ | -------------------------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------- |
|              | data [*required*]          | object | Google Chat target audience data from a response.                                                                                      |
| data         | attributes                 | object | Google Chat target audience attributes.                                                                                                |
| attributes   | audience_id [*required*]   | string | The audience ID.                                                                                                                       |
| attributes   | audience_name [*required*] | string | The audience name.                                                                                                                     |
| data         | id                         | string | The ID of the target audience.                                                                                                         |
| data         | type                       | enum   | Google Chat target audience resource type. Allowed enum values: `google-chat-target-audience`. Default: `google-chat-target-audience`. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "data": {
    "attributes": {
      "audience_id": "fake-audience-id-1",
      "audience_name": "fake audience name 1"
    },
    "id": "1f3e5ce6-944a-4075-97ae-105b5920b5cb",
    "type": "google-chat-target-audience"
  }
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="403" %}
Forbidden

{% tabs %}
{% tab label="Model" %}
API error response.

| Field               | Type     | Description       |
| ------------------- | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="404" %}
Not Found

{% tabs %}
{% tab label="Model" %}
API error response.

| Field               | Type     | Description       |
| ------------------- | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}

{% tab label="429" %}
Too many requests

{% tabs %}
{% tab label="Model" %}
API error response.

| Field               | Type     | Description       |
| ------------------- | -------- | ----------------- |
| errors [*required*] | [string] | A list of errors. |
{% /tab %}

{% tab label="Example" %}
```json
{
  "errors": [
    "Bad Request"
  ]
}
```
{% /tab %}
{% /tabs %}
{% /tab %}
{% /tabs %}

### Code Example

{% tabs %}
{% tab label="Curl" %}
```bash
# Path parameters
export organization_binding_id="CHANGE_ME"
export target_audience_id="CHANGE_ME"

# Set your Datadog site and credentials
export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"

curl -X GET "https://api.${DD_SITE}/api/v2/integration/google-chat/organizations/${organization_binding_id}/target-audiences/${target_audience_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"
```
{% /tab %}

{% tab label="Go" %}
```go
// Get a target audience returns "OK" response

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"os"

	"github.com/DataDog/datadog-api-client-go/v2/api/datadog"
	"github.com/DataDog/datadog-api-client-go/v2/api/datadogV2"
)

func main() {
	ctx := datadog.NewDefaultContext(context.Background())
	ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
	configuration := datadog.NewConfiguration()
	apiClient := datadog.NewAPIClient(configuration)
	api := datadogV2.NewGoogleChatIntegrationApi(apiClient)
	resp, r, err := api.GetGoogleChatTargetAudience(ctx, "organization_binding_id", "target_audience_id")

	if err != nil {
		fmt.Fprintf(os.Stderr, "Error when calling `GoogleChatIntegrationApi.GetGoogleChatTargetAudience`: %v\n", err)
		fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
	}

	responseContent, _ := json.MarshalIndent(resp, "", "  ")
	fmt.Fprintf(os.Stdout, "Response from `GoogleChatIntegrationApi.GetGoogleChatTargetAudience`:\n%s\n", responseContent)
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"
```
{% /tab %}

{% tab label="Java" %}
```java
// Get a target audience returns "OK" response

import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.GoogleChatIntegrationApi;
import com.datadog.api.client.v2.model.GoogleChatTargetAudienceResponse;

public class Example {
  public static void main(String[] args) {
    ApiClient defaultClient = ApiClient.getDefaultApiClient();
    defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
    GoogleChatIntegrationApi apiInstance = new GoogleChatIntegrationApi(defaultClient);

    try {
      GoogleChatTargetAudienceResponse result =
          apiInstance.getGoogleChatTargetAudience("organization_binding_id", "target_audience_id");
      System.out.println(result);
    } catch (ApiException e) {
      System.err.println(
          "Exception when calling GoogleChatIntegrationApi#getGoogleChatTargetAudience");
      System.err.println("Status code: " + e.getCode());
      System.err.println("Reason: " + e.getResponseBody());
      System.err.println("Response headers: " + e.getResponseHeaders());
      e.printStackTrace();
    }
  }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"
```
{% /tab %}

{% tab label="Python" %}
```python
"""
Get a target audience returns "OK" response
"""

from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.google_chat_integration_api import GoogleChatIntegrationApi

configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
with ApiClient(configuration) as api_client:
    api_instance = GoogleChatIntegrationApi(api_client)
    response = api_instance.get_google_chat_target_audience(
        organization_binding_id="organization_binding_id",
        target_audience_id="target_audience_id",
    )

    print(response)
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"
```
{% /tab %}

{% tab label="Ruby" %}
```ruby
# Get a target audience returns "OK" response

require "datadog_api_client"
DatadogAPIClient.configure do |config|
  config.access_token = ENV["DD_BEARER_TOKEN"]
end
api_instance = DatadogAPIClient::V2::GoogleChatIntegrationAPI.new
p api_instance.get_google_chat_target_audience("organization_binding_id", "target_audience_id")
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"
```
{% /tab %}

{% tab label="Rust" %}
```rust
// Get a target audience returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_google_chat_integration::GoogleChatIntegrationAPI;

#[tokio::main]
async fn main() {
    let configuration = datadog::Configuration::new();
    let api = GoogleChatIntegrationAPI::with_config(configuration);
    let resp = api
        .get_google_chat_target_audience(
            "organization_binding_id".to_string(),
            "target_audience_id".to_string(),
        )
        .await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_API_KEY="<API-KEY>" DD_APP_KEY="<APP-KEY>" cargo run
```
{% /tab %}

{% tab label="TypeScript" %}
```typescript
/**
 * Get a target audience returns "OK" response
 */

import { client, v2 } from "@datadog/datadog-api-client";

const configuration = client.createConfiguration({
  authMethods: {
    AuthZ: {
      accessToken: process.env.DD_BEARER_TOKEN as string,
    },
  },
});
const apiInstance = new v2.GoogleChatIntegrationApi(configuration);

const params: v2.GoogleChatIntegrationApiGetGoogleChatTargetAudienceRequest = {
  organizationBindingId: "organization_binding_id",
  targetAudienceId: "target_audience_id",
};

apiInstance
  .getGoogleChatTargetAudience(params)
  .then((data: v2.GoogleChatTargetAudienceResponse) => {
    console.log(
      "API called successfully. Returned data: " + JSON.stringify(data)
    );
  })
  .catch((error: any) => console.error(error));
```

#### Instructions

First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands:

```bash
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"
```
{% /tab %}
{% /tabs %}
