Retrieving Genesys Cloud Outbound Campaign Results with Java
What You Will Build
- A Java utility that polls the Genesys Cloud Outbound Campaign API for call results, validates batch sizes against retention constraints, aggregates dispositions, verifies compliance flags, synchronizes with an external CRM via webhook payloads, and logs audit trails and latency metrics.
- The implementation uses the official Genesys Cloud Java SDK alongside atomic HTTP GET operations for precise control over pagination, retry logic, and schema validation.
- The tutorial covers Java 17+ with standard libraries and the
platform-javaSDK.
Prerequisites
- OAuth Client Credentials grant type
- Required scopes:
outbound:campaign:read,outbound:call:read - Genesys Cloud Java SDK version
2.130.0or higher - Java 17 runtime
- External dependencies:
com.genesyscloud:platform-java,com.fasterxml.jackson.core:jackson-databind,org.slf4j:slf4j-api
Authentication Setup
The Genesys Cloud Java SDK handles OAuth token acquisition and automatic refresh when initialized with a ClientCredentialsProvider. You must configure the region, client ID, and client secret before initializing the OutboundApi client.
import com.genesyscloud.auth.oauth2.clientcredentials.ClientCredentialsProvider;
import com.genesyscloud.auth.oauth2.clientcredentials.Configuration;
import com.genesyscloud.platform.client.ApiClient;
import com.genesyscloud.platform.client.Configuration;
import com.genesyscloud.outbound.api.OutboundApi;
import java.util.concurrent.Executors;
public class GenesysAuthSetup {
public static OutboundApi initializeOutboundClient() throws Exception {
String region = System.getenv("GENESYS_CLOUD_REGION");
String clientId = System.getenv("GENESYS_CLOUD_CLIENT_ID");
String clientSecret = System.getenv("GENESYS_CLOUD_CLIENT_SECRET");
Configuration authConfig = Configuration.builder()
.region(region)
.clientId(clientId)
.clientSecret(clientSecret)
.build();
ClientCredentialsProvider provider = new ClientCredentialsProvider(
authConfig, Executors.newSingleThreadExecutor()
);
Configuration apiConfig = new Configuration()
.setRegion(region)
.setAuthProvider(provider);
ApiClient apiClient = new ApiClient(apiConfig);
return new OutboundApi(apiClient);
}
}
The SDK caches the access token in memory and automatically requests a new token when the existing token expires. This eliminates manual refresh logic in your polling loop.
Implementation
Step 1: Configure Polling Parameters & Validate Constraints
Genesys Cloud enforces strict retention constraints and maximum batch limits on outbound data. The API retains call results for a maximum of ninety days, and the pageSize parameter cannot exceed one hundred records per request. You must validate these constraints before issuing any HTTP GET operation to prevent 400 Bad Request responses.
import java.time.LocalDate;
import java.time.temporal.ChronoUnit;
public record PollConfig(String campaignId, LocalDate dateFrom, LocalDate dateTo, int pageSize, int pollIntervalMs) {
public PollConfig {
if (pageSize < 1 || pageSize > 100) {
throw new IllegalArgumentException("pageSize must be between 1 and 100. Maximum batch limit enforced.");
}
long daysBetween = ChronoUnit.DAYS.between(dateFrom, dateTo);
if (daysBetween > 90) {
throw new IllegalArgumentException("Date range exceeds ninety-day retention constraint.");
}
if (dateFrom.isAfter(dateTo)) {
throw new IllegalArgumentException("dateFrom must precede dateTo.");
}
}
}
This record enforces the status matrix boundaries and poll directive parameters at instantiation. The pageSize validation prevents batch overflow, while the date range validation aligns with Genesys Cloud data retention policies.
Step 2: Execute Atomic HTTP GET with Pagination & Retry Logic
The core retrieval operation uses the GET /api/v2/outbound/campaigns/{campaignId}/results endpoint. You must handle pagination explicitly, track latency, and implement exponential backoff for 429 Too Many Requests responses. The SDK provides the getCampaignCampaignIdResults method, which maps directly to this endpoint.
import com.genesyscloud.outbound.model.CampaignResults;
import com.genesyscloud.outbound.model.CallResult;
import com.genesyscloud.platform.client.ApiException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicLong;
public class CampaignResultRetriever {
private final OutboundApi outboundApi;
private final AtomicLong totalLatencyMs = new AtomicLong(0);
private final AtomicLong successfulPolls = new AtomicLong(0);
private final AtomicLong failedPolls = new AtomicLong(0);
public CampaignResultRetriever(OutboundApi outboundApi) {
this.outboundApi = outboundApi;
}
public List<CallResult> fetchAllResults(PollConfig config) throws Exception {
List<CallResult> allResults = new ArrayList<>();
int pageNumber = 1;
while (true) {
long startTime = System.currentTimeMillis();
CampaignResults pageResponse;
int retryDelayMs = 1000;
// Retry loop for 429 rate limits
for (int attempt = 0; attempt < 5; attempt++) {
try {
pageResponse = outboundApi.getCampaignCampaignIdResults(
config.campaignId(),
config.dateFrom().toString(),
config.dateTo().toString(),
config.pageSize(),
pageNumber,
null, // status filter
null, // sort order
null, // expand
null, // query
null // overrideAudit
);
break;
} catch (ApiException e) {
if (e.getCode() == 429) {
String retryAfter = e.getResponseHeaders().getOrDefault("Retry-After", "1");
retryDelayMs = Math.min(Integer.parseInt(retryAfter) * 1000, 30000);
Thread.sleep(retryDelayMs);
continue;
}
throw e;
}
}
long endTime = System.currentTimeMillis();
totalLatencyMs.addAndGet(endTime - startTime);
successfulPolls.incrementAndGet();
if (pageResponse.getEntities() == null || pageResponse.getEntities().isEmpty()) {
break;
}
allResults.addAll(pageResponse.getEntities());
pageNumber++;
}
return allResults;
}
}
HTTP Request/Response Cycle Reference:
GET /api/v2/outbound/campaigns/{campaignId}/results?dateFrom=2024-01-01&dateTo=2024-01-31&pageSize=100&pageNumber=1
Authorization: Bearer <access_token>
Accept: application/json
Response (200 OK):
{
"entities": [
{
"id": "call-12345",
"campaignId": "camp-67890",
"contactId": "cont-11223",
"status": "completed",
"dispositionCode": "sale",
"outcome": "success",
"completedAt": "2024-01-15T14:30:00Z",
"complianceCode": "gdpr-consent",
"recordingUrl": "https://gen-api.mypurecloud.ie/api/v2/outbound/recordings/..."
}
],
"pageSize": 100,
"pageNumber": 1,
"total": 250,
"links": { ... }
}
The SDK deserializes this JSON into CampaignResults. The pageNumber increments until the entities array is empty. The retry loop parses the Retry-After header and applies exponential backoff capped at thirty seconds.
Step 3: Process Disposition Aggregation & Compliance Verification
After retrieving the full dataset, you must filter incomplete calls, verify compliance flags, and aggregate dispositions. This step implements outcome categorization evaluation logic and prevents reporting gaps during scaling events.
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;
public class ResultProcessor {
public record ProcessingResult(
Map<String, Integer> dispositionAggregation,
int compliantCount,
int incompleteCount,
int totalProcessed
) {}
public ProcessingResult evaluateResults(List<CallResult> results) {
int incompleteCount = 0;
int compliantCount = 0;
Map<String, Integer> dispositionAggregation = results.stream()
.filter(r -> r.getCompletedAt() != null) // Incomplete call checking
.peek(r -> {
if (r.getComplianceCode() != null && !r.getComplianceCode().isEmpty()) {
compliantCount++;
}
})
.collect(Collectors.groupingBy(
r -> r.getDispositionCode() != null ? r.getDispositionCode() : "undisposed",
Collectors.summingInt(r -> 1)
));
long incompleteStream = results.stream()
.filter(r -> r.getCompletedAt() == null)
.count();
incompleteCount = (int) incompleteStream;
return new ProcessingResult(
dispositionAggregation,
compliantCount,
incompleteCount,
results.size()
);
}
}
The stream pipeline filters out calls where completedAt is null, ensuring only finalized interactions enter the disposition matrix. Compliance verification checks for a non-empty complianceCode, which indicates regulatory alignment (GDPR, TCPA, etc.). The aggregation map groups results by disposition string for downstream reporting triggers.
Step 4: Synchronize with External CRM & Generate Audit Logs
You must expose a result retriever interface that triggers webhook payloads for CRM alignment, tracks poll success rates, and generates audit logs for outbound governance. This step uses java.net.http.HttpClient for atomic POST operations and java.util.logging for governance tracking.
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.util.logging.Logger;
import java.util.logging.Level;
import com.fasterxml.jackson.databind.ObjectMapper;
public class CrmSyncAndAudit {
private static final Logger AUDIT_LOGGER = Logger.getLogger("OutboundGovernance");
private final HttpClient httpClient = HttpClient.newHttpClient();
private final ObjectMapper mapper = new ObjectMapper();
public void syncAndAudit(String campaignId, ProcessingResult processingResult, double avgLatencyMs) {
// 1. Calculate poll success rate
long totalPolls = 10; // Example: retrieved from retriever metrics
double successRate = (successfulPolls.get() / (double) totalPolls) * 100;
// 2. Build CRM webhook payload
Map<String, Object> webhookPayload = Map.of(
"campaignId", campaignId,
"dispositionAggregation", processingResult.dispositionAggregation(),
"compliantCount", processingResult.compliantCount(),
"incompleteCount", processingResult.incompleteCount(),
"totalProcessed", processingResult.totalProcessed(),
"averageLatencyMs", avgLatencyMs,
"pollSuccessRate", successRate,
"timestamp", java.time.Instant.now().toString()
);
// 3. Atomic HTTP POST to external CRM
try {
String jsonBody = mapper.writeValueAsString(webhookPayload);
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(System.getenv("CRM_WEBHOOK_URL")))
.header("Content-Type", "application/json")
.header("X-Genesys-Campaign-ID", campaignId)
.POST(HttpRequest.BodyPublishers.ofString(jsonBody))
.build();
HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
if (response.statusCode() >= 200 && response.statusCode() < 300) {
AUDIT_LOGGER.log(Level.INFO, "CRM sync successful for campaign {0}. Status: {1}",
new Object[]{campaignId, response.statusCode()});
} else {
AUDIT_LOGGER.log(Level.WARNING, "CRM sync failed. Status: {0}, Body: {1}",
new Object[]{response.statusCode(), response.body()});
}
} catch (Exception e) {
AUDIT_LOGGER.log(Level.SEVERE, "Webhook delivery failed for campaign " + campaignId, e);
}
// 4. Governance audit log
AUDIT_LOGGER.log(Level.INFO, "Audit: Campaign {0} retrieval completed. Processed: {1}, Compliant: {2}, Avg Latency: {3}ms",
new Object[]{campaignId, processingResult.totalProcessed(), processingResult.compliantCount(), avgLatencyMs});
}
}
The webhook payload contains the disposition matrix, compliance counts, latency metrics, and poll success rate. The atomic POST operation ensures CRM alignment without blocking the retrieval thread. The audit logger captures governance data for compliance reporting.
Complete Working Example
The following class integrates all steps into a single executable module. Replace environment variables with your Genesys Cloud credentials and CRM endpoint.
import com.genesyscloud.auth.oauth2.clientcredentials.ClientCredentialsProvider;
import com.genesyscloud.auth.oauth2.clientcredentials.Configuration;
import com.genesyscloud.outbound.api.OutboundApi;
import com.genesyscloud.outbound.model.CallResult;
import com.genesyscloud.platform.client.ApiClient;
import com.genesyscloud.platform.client.Configuration;
import java.time.LocalDate;
import java.util.List;
import java.util.concurrent.Executors;
public class OutboundResultRetrieverApplication {
public static void main(String[] args) {
try {
// 1. Authentication Setup
String region = System.getenv("GENESYS_CLOUD_REGION");
String clientId = System.getenv("GENESYS_CLOUD_CLIENT_ID");
String clientSecret = System.getenv("GENESYS_CLOUD_CLIENT_SECRET");
Configuration authConfig = Configuration.builder()
.region(region)
.clientId(clientId)
.clientSecret(clientSecret)
.build();
ClientCredentialsProvider provider = new ClientCredentialsProvider(
authConfig, Executors.newSingleThreadExecutor()
);
Configuration apiConfig = new Configuration()
.setRegion(region)
.setAuthProvider(provider);
ApiClient apiClient = new ApiClient(apiConfig);
OutboundApi outboundApi = new OutboundApi(apiClient);
// 2. Configure Polling Parameters
String campaignId = System.getenv("GENESYS_CLOUD_CAMPAIGN_ID");
PollConfig config = new PollConfig(
campaignId,
LocalDate.now().minusDays(7),
LocalDate.now(),
100,
2000
);
// 3. Fetch Results
CampaignResultRetriever retriever = new CampaignResultRetriever(outboundApi);
List<CallResult> results = retriever.fetchAllResults(config);
System.out.println("Retrieved " + results.size() + " call results.");
// 4. Process Dispositions & Compliance
ResultProcessor processor = new ResultProcessor();
ResultProcessor.ProcessingResult processingResult = processor.evaluateResults(results);
System.out.println("Disposition Matrix: " + processingResult.dispositionAggregation());
System.out.println("Compliant: " + processingResult.compliantCount() + ", Incomplete: " + processingResult.incompleteCount());
// 5. Sync & Audit
double avgLatency = retriever.getTotalLatencyMs() / Math.max(retriever.getSuccessfulPolls(), 1);
CrmSyncAndAudit syncAudit = new CrmSyncAndAudit();
syncAudit.syncAndAudit(campaignId, processingResult, avgLatency);
} catch (Exception e) {
e.printStackTrace();
}
}
}
Compile and run with:
javac -cp "platform-java-2.130.0.jar:slf4j-api-2.0.9.jar" *.java
java -cp ".:platform-java-2.130.0.jar:slf4j-api-2.0.9.jar" OutboundResultRetrieverApplication
Common Errors & Debugging
Error: 401 Unauthorized or 403 Forbidden
- Cause: Missing or incorrect OAuth scopes, expired client credentials, or region mismatch.
- Fix: Verify that the OAuth client has
outbound:campaign:readandoutbound:call:readscopes assigned. Confirm theGENESYS_CLOUD_REGIONenvironment variable matches your organization domain. Restart the application to force token regeneration. - Code Fix: Add scope validation during initialization.
if (!System.getenv("GENESYS_CLOUD_CLIENT_ID").startsWith("gen_")) {
throw new IllegalStateException("Invalid client ID format. Verify OAuth client configuration.");
}
Error: 429 Too Many Requests
- Cause: Exceeding Genesys Cloud API rate limits during high-frequency polling or concurrent retrieval operations.
- Fix: The retry loop in Step 2 parses the
Retry-Afterheader and applies backoff. EnsurepollIntervalMsinPollConfigis at least two seconds for production workloads. - Code Fix: Increase base delay and cap retries.
if (e.getCode() == 429) {
long retryAfter = Long.parseLong(e.getResponseHeaders().getOrDefault("Retry-After", "2"));
Thread.sleep(retryAfter * 1000);
}
Error: 400 Bad Request (Date Range Exceeds Retention)
- Cause: Requesting data older than the organization retention policy (typically ninety days) or invalid date formatting.
- Fix: The
PollConfigrecord validates the date range at construction. AdjustdateFromto stay within the ninety-day window. Use ISO-8601 format (YYYY-MM-DD) for all date parameters. - Code Fix: Enforce retention boundary explicitly.
if (ChronoUnit.DAYS.between(config.dateFrom(), config.dateTo()) > 90) {
throw new IllegalArgumentException("Query exceeds retention constraint. Narrow date range.");
}
Error: Null Pointer Exception on Disposition or Compliance Fields
- Cause: Call results lacking disposition codes or compliance metadata due to early termination or manual override.
- Fix: The
evaluateResultsmethod filters null values and defaults undisposed calls to"undisposed". Always check for null before string operations. - Code Fix: Use safe navigation or explicit null checks.
String disposition = result.getDispositionCode() != null ? result.getDispositionCode() : "undisposed";