Filtering Genesys Cloud Outbound Campaign Preview Dial Lists via Node.js
What You Will Build
A production-grade Node.js module that constructs outbound campaign preview queries using list-ref references, criterionMatrix logic, and extract directives, validates payloads against query constraints and maximum result set limits, enforces privacy scope verification and deduplication rules, tracks execution latency and success rates, triggers CRM synchronization webhooks, and generates structured audit logs for outbound governance. This tutorial uses the Genesys Cloud Outbound API (POST /api/v2/outbound/campaigns/{campaignId}/preview) and the official @genesyscloud/genesyscloud-nodejs SDK for authentication. The implementation covers JavaScript/TypeScript.
Prerequisites
- OAuth2 Client Credentials flow configured in Genesys Cloud with scopes:
outbound:campaign:view,outbound:campaign:preview,outbound:list:view - Genesys Cloud Node.js SDK v5.1.0+ installed via
npm install @genesyscloud/genesyscloud-nodejs - Node.js v18+ runtime
- External dependencies:
axios,zod,uuid(npm install axios zod uuid) - Access to a Genesys Cloud organization with Outbound Campaigns enabled and at least one configured dial list
Authentication Setup
The Genesys Cloud Node.js SDK handles the OAuth2 client credentials flow automatically when initialized. Token caching and automatic refresh are managed by the underlying PureCloudPlatformClientV2 instance. You must provide your environment URL, client ID, and client secret.
import { PureCloudPlatformClientV2 } from '@genesyscloud/genesyscloud-nodejs';
const ENV_URL = process.env.GENESYS_ENV_URL || 'https://api.mypurecloud.com';
const CLIENT_ID = process.env.GENESYS_CLIENT_ID;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET;
if (!CLIENT_ID || !CLIENT_SECRET) {
throw new Error('GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables are required.');
}
const client = new PureCloudPlatformClientV2();
client.setEnvironment(ENV_URL);
client.clientCredentialsLogin(CLIENT_ID, CLIENT_SECRET);
// The SDK automatically caches the token and refreshes it before expiration.
// No manual refresh logic is required for standard polling intervals.
Implementation
Step 1: Initialize Client and Configure Retry Logic
Outbound preview queries frequently encounter rate limits during bulk iterations. You must implement exponential backoff retry logic for HTTP 429 responses. The following wrapper handles retry attempts, timeout enforcement, and latency measurement.
import axios from 'axios';
const MAX_RETRIES = 3;
const BASE_DELAY_MS = 1000;
const REQUEST_TIMEOUT_MS = 15000;
async function executeWithRetry(url, method, options = {}) {
let attempts = 0;
let delay = BASE_DELAY_MS;
while (attempts <= MAX_RETRIES) {
const startTime = Date.now();
try {
const response = await axios.request({
url,
method,
...options,
timeout: REQUEST_TIMEOUT_MS,
headers: {
'Content-Type': 'application/json',
'Accept': 'application/json',
...options.headers,
},
});
const latencyMs = Date.now() - startTime;
return { success: true, data: response.data, latencyMs, attempts };
} catch (error) {
const latencyMs = Date.now() - startTime;
if (error.response?.status === 429 && attempts < MAX_RETRIES) {
console.log(`Rate limited (429). Retrying in ${delay}ms. Attempt ${attempts + 1}/${MAX_RETRIES}`);
await new Promise(resolve => setTimeout(resolve, delay));
delay *= 2; // Exponential backoff
attempts++;
continue;
}
return {
success: false,
error: error.response?.data || error.message,
status: error.response?.status,
latencyMs,
attempts
};
}
}
}
Step 2: Construct Criterion Matrix and Extract Directive
The preview endpoint requires a structured contactFilter containing a criterionMatrix. The matrix supports AND/OR logical operators and nested criteria. You must also define the extract directive to control pagination and maximum result set limits. Genesys Cloud enforces a hard limit of 1000 records per preview request.
const MAX_PREVIEW_RECORDS = 1000;
function buildPreviewPayload(campaignId, listId, criteria, pageNumber = 1) {
// Validate maximum record limit
if (pageNumber < 1 || pageNumber > 100) {
throw new Error('Page number must be between 1 and 100 to prevent resource exhaustion.');
}
return {
campaignId,
listReferences: [
{
listId,
listVersion: 1 // Always use version 1 for stable preview queries
}
],
contactFilter: {
criterionMatrix: {
logicalOperator: 'AND',
criteria: criteria || []
}
},
extract: {
maxRecords: Math.min(MAX_PREVIEW_RECORDS, 1000), // Enforce API hard limit
pageNumber
},
deduplication: {
deduplicationType: 'campaign',
deduplicationWindow: '30d' // Prevent accidental mass dialing on recent contacts
},
format: 'json'
};
}
Step 3: Validate Schemas, Privacy Scopes, and Deduplication Rules
Before submitting the preview query, you must validate the payload against query constraints. This step uses regex pattern matching for field names, verifies privacy scopes (e.g., doNotCall, optOut), and ensures boolean logic calculation remains within supported operators.
import { z } from 'zod';
const FieldNameRegex = /^[a-zA-Z0-9_\-]+$/;
const SupportedOperators = ['EQ', 'NEQ', 'GT', 'LT', 'GTE', 'LTE', 'CONTAINS', 'NOT_CONTAINS', 'IN', 'NOT_IN'];
const CriterionSchema = z.object({
field: z.string().regex(FieldNameRegex, 'Field name must contain only alphanumeric characters, underscores, or hyphens.'),
operator: z.enum(SupportedOperators),
values: z.array(z.string()).min(1),
dataType: z.enum(['string', 'number', 'boolean', 'date'])
});
function validatePrivacyScopes(criteria) {
const privacyFields = ['doNotCall', 'optOut', 'doNotContact', 'gdpr_consent'];
const privacyCriteria = criteria.filter(c => privacyFields.includes(c.field));
if (privacyCriteria.length === 0) {
console.warn('WARNING: No privacy scope filters detected. Consider adding doNotCall or optOut criteria.');
}
// Verify boolean logic for privacy fields
for (const criterion of privacyCriteria) {
if (criterion.operator === 'EQ' && criterion.values[0] === 'true') {
throw new Error('CRITICAL: Privacy filter excludes opted-out contacts. Inverting logic to prevent compliance violation.');
}
}
return privacyCriteria;
}
function validatePreviewPayload(payload) {
try {
// Validate criterion matrix structure
if (payload.contactFilter?.criterionMatrix?.criteria) {
payload.contactFilter.criterionMatrix.criteria.forEach(c => {
CriterionSchema.parse(c);
});
}
// Validate privacy scopes
validatePrivacyScopes(payload.contactFilter.criterionMatrix.criteria || []);
// Validate extract limits
if (payload.extract.maxRecords > MAX_PREVIEW_RECORDS) {
throw new Error(`Maximum record limit exceeded. Reduced to ${MAX_PREVIEW_RECORDS}.`);
}
return true;
} catch (validationError) {
console.error('Schema validation failed:', validationError.message);
throw validationError;
}
}
Step 4: Execute Atomic Preview Queries with Pagination and Audit Logging
The final step combines authentication, payload construction, validation, and execution. You will iterate through pages atomically, track latency and success rates, trigger CRM synchronization webhooks, and generate structured audit logs for outbound governance.
import { v4 as uuidv4 } from 'uuid';
class OutboundPreviewManager {
constructor(client, baseUrl) {
this.client = client;
this.baseUrl = baseUrl;
this.auditLog = [];
this.metrics = { totalLatencyMs: 0, successfulExtractions: 0, totalRecords: 0 };
}
async getAccessToken() {
const tokenResponse = await this.client.authClient.getAccessToken();
return tokenResponse.access_token;
}
async executePreview(campaignId, listId, criteria, maxPages = 5) {
const auditId = uuidv4();
const startTime = Date.now();
let currentPage = 1;
let hasMoreRecords = true;
console.log(`[AUDIT:${auditId}] Starting preview extraction for campaign ${campaignId}`);
while (hasMoreRecords && currentPage <= maxPages) {
const payload = buildPreviewPayload(campaignId, listId, criteria, currentPage);
validatePreviewPayload(payload);
const token = await this.getAccessToken();
const url = `${this.baseUrl}/api/v2/outbound/campaigns/${campaignId}/preview`;
const result = await executeWithRetry(url, 'POST', {
headers: { Authorization: `Bearer ${token}` },
data: payload
});
const pageLatency = result.latencyMs;
this.metrics.totalLatencyMs += pageLatency;
if (!result.success) {
console.error(`[AUDIT:${auditId}] Page ${currentPage} failed:`, result.error);
this.auditLog.push({
auditId,
page: currentPage,
status: 'FAILURE',
error: result.error,
latencyMs: pageLatency,
timestamp: new Date().toISOString()
});
break;
}
this.metrics.successfulExtractions++;
this.metrics.totalRecords += result.data.contacts?.length || 0;
hasMoreRecords = (result.data.contacts?.length || 0) === result.extract?.maxRecords;
console.log(`[AUDIT:${auditId}] Page ${currentPage} retrieved ${result.data.contacts?.length || 0} records in ${pageLatency}ms`);
// Trigger CRM synchronization webhook for alignment
await this.triggerCrmSyncWebhook(campaignId, listId, result.data.contacts, auditId);
this.auditLog.push({
auditId,
page: currentPage,
status: 'SUCCESS',
recordsRetrieved: result.data.contacts?.length || 0,
latencyMs: pageLatency,
timestamp: new Date().toISOString()
});
currentPage++;
}
const totalDuration = Date.now() - startTime;
console.log(`[AUDIT:${auditId}] Extraction complete. Total latency: ${totalDuration}ms. Records: ${this.metrics.totalRecords}`);
return {
auditId,
metrics: this.metrics,
auditLog: this.auditLog,
success: this.metrics.successfulExtractions > 0
};
}
async triggerCrmSyncWebhook(campaignId, listId, contacts, auditId) {
// Simulate external CRM alignment via webhook trigger
const webhookPayload = {
event: 'outbound.preview.filtered',
campaignId,
listId,
auditId,
contactCount: contacts?.length || 0,
timestamp: new Date().toISOString()
};
try {
// In production, replace with actual CRM endpoint or Genesys webhook dispatch
console.log(`[CRM SYNC] Triggering alignment webhook for ${contacts?.length || 0} contacts`);
// await axios.post(process.env.CRM_WEBHOOK_URL, webhookPayload);
} catch (syncError) {
console.warn('[CRM SYNC] Webhook trigger failed. Non-blocking operation.', syncError.message);
}
}
}
Complete Working Example
The following script combines all components into a single executable module. Replace the environment variables with your Genesys Cloud credentials and run the file with Node.js.
import { PureCloudPlatformClientV2 } from '@genesyscloud/genesyscloud-nodejs';
import { OutboundPreviewManager } from './previewManager'; // Assume Step 4 class is exported
import { validatePreviewPayload, buildPreviewPayload } from './validation'; // Assume Step 2/3 functions are exported
const ENV_URL = process.env.GENESYS_ENV_URL || 'https://api.mypurecloud.com';
const CLIENT_ID = process.env.GENESYS_CLIENT_ID;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET;
const CAMPAIGN_ID = process.env.GENESYS_CAMPAIGN_ID;
const LIST_ID = process.env.GENESYS_LIST_ID;
async function main() {
if (!CLIENT_ID || !CLIENT_SECRET || !CAMPAIGN_ID || !LIST_ID) {
console.error('Missing required environment variables.');
process.exit(1);
}
const client = new PureCloudPlatformClientV2();
client.setEnvironment(ENV_URL);
try {
await client.clientCredentialsLogin(CLIENT_ID, CLIENT_SECRET);
console.log('Authentication successful.');
} catch (authError) {
console.error('Authentication failed:', authError.message);
process.exit(1);
}
const previewManager = new OutboundPreviewManager(client, ENV_URL);
// Define filtering criteria: Active customers with pending follow-ups, excluding opted-out contacts
const filteringCriteria = [
{
field: 'status',
operator: 'EQ',
values: ['active'],
dataType: 'string'
},
{
field: 'last_contact_date',
operator: 'LT',
values: ['2023-01-01T00:00:00Z'],
dataType: 'date'
},
{
field: 'optOut',
operator: 'EQ',
values: ['false'],
dataType: 'boolean'
}
];
try {
const result = await previewManager.executePreview(CAMPAIGN_ID, LIST_ID, filteringCriteria, maxPages = 3);
if (result.success) {
console.log('Preview extraction completed successfully.');
console.log('Metrics:', JSON.stringify(result.metrics, null, 2));
console.log('Audit Log:', JSON.stringify(result.auditLog, null, 2));
} else {
console.error('Preview extraction encountered failures. Review audit log.');
}
} catch (executionError) {
console.error('Fatal execution error:', executionError.message);
process.exit(1);
}
}
main();
Common Errors & Debugging
Error: HTTP 401 Unauthorized
- What causes it: The OAuth token has expired, the client credentials are incorrect, or the requested scopes are missing.
- How to fix it: Verify
GENESYS_CLIENT_IDandGENESYS_CLIENT_SECRET. Ensure the OAuth application in Genesys Cloud hasoutbound:campaign:previewandoutbound:campaign:viewscopes assigned. The SDK automatically refreshes tokens, but a fresh login call resolves stale session states. - Code showing the fix:
try {
await client.clientCredentialsLogin(CLIENT_ID, CLIENT_SECRET);
} catch (err) {
console.error('Token refresh/login failed. Verify client credentials and assigned scopes.');
}
Error: HTTP 400 Bad Request - Invalid Criterion Matrix
- What causes it: The
criterionMatrixcontains unsupported operators, malformed field names, or mismatched data types. Genesys Cloud validates the matrix structure strictly. - How to fix it: Use the Zod schema validation provided in Step 3. Ensure field names match the exact column names in your outbound list. Replace custom operators with supported values like
EQ,CONTAINS, orIN. - Code showing the fix:
// Validate before sending
validatePreviewPayload(payload);
// Ensure operator matches API spec
if (!['EQ', 'NEQ', 'CONTAINS', 'IN'].includes(criterion.operator)) {
throw new Error('Unsupported operator. Use EQ, NEQ, CONTAINS, or IN.');
}
Error: HTTP 429 Too Many Requests
- What causes it: Rapid pagination loops or concurrent campaign preview calls exceed the organization rate limit. Outbound APIs enforce strict throttling to protect dial list integrity.
- How to fix it: Implement the exponential backoff retry wrapper from Step 1. Increase
BASE_DELAY_MSto 2000ms for high-volume organizations. Space out page requests with a fixed delay between iterations. - Code showing the fix:
// Inside executeWithRetry
if (error.response?.status === 429 && attempts < MAX_RETRIES) {
await new Promise(resolve => setTimeout(resolve, delay));
delay *= 2;
attempts++;
continue;
}
Error: HTTP 403 Forbidden - Privacy Scope Violation
- What causes it: The preview query attempts to extract contacts flagged with
doNotCalloroptOutwithout proper filtering, or the user lacks compliance permissions. - How to fix it: Add explicit privacy criteria to the
criterionMatrix. Verify your user role hasoutbound:campaign:viewand compliance permissions. The validation pipeline in Step 3 catches missing privacy filters and warns before execution. - Code showing the fix:
const privacyCriterion = {
field: 'optOut',
operator: 'EQ',
values: ['false'],
dataType: 'boolean'
};
filteringCriteria.push(privacyCriterion);