Importing Genesys Cloud Outbound Lead Lists via Outbound API with Go

What You Will Build

• A Go module that constructs and submits lead import payloads to the Genesys Cloud Outbound engine with file references, column mappings, and deduplication directives.
• An authentication handler that manages OAuth 2.0 client credentials flow with token caching and refresh logic.
• A validation pipeline that enforces E.164 phone formatting, consent flag verification, and maximum batch row limits before submission.
• An async callback router that synchronizes import completion events with external CRM systems while tracking latency and commit success rates.

Prerequisites

• Genesys Cloud OAuth client credentials (Client ID and Client Secret)
• Required scopes: outbound:import:create, outbound:contact:center:read
• Go 1.21 or later
• Standard library dependencies only: net/http, encoding/json, time, sync, regexp, fmt, log, os
• Access to a publicly accessible or VPC-routable S3/GCS/Azure blob URL for the lead CSV file

Authentication Setup

The Genesys Cloud platform uses OAuth 2.0 client credentials flow for server-to-server integrations. You must request a token from /api/v2/oauth/token and cache it until expiration. The token response includes an expires_in field measured in seconds. The following implementation caches the token and automatically refreshes it before expiration.

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"os"
	"time"
)

const (
	GenesysBaseURL = "https://api.mypurecloud.com"
	OAuthEndpoint  = "/api/v2/oauth/token"
)

type OAuthToken struct {
	AccessToken string `json:"access_token"`
	TokenType   string `json:"token_type"`
	ExpiresIn   int64  `json:"expires_in"`
	RefreshToken string `json:"refresh_token,omitempty"`
}

type AuthManager struct {
	baseURL     string
	clientID    string
	clientSecret string
	token       *OAuthToken
	expiresAt   time.Time
	mu          sync.RWMutex
}

func NewAuthManager(clientID, clientSecret string) *AuthManager {
	return &AuthManager{
		baseURL:      GenesysBaseURL,
		clientID:     clientID,
		clientSecret: clientSecret,
	}
}

func (a *AuthManager) GetToken(ctx context.Context) (*OAuthToken, error) {
	a.mu.RLock()
	if a.token != nil && time.Now().Before(a.expiresAt) {
		defer a.mu.RUnlock()
		return a.token, nil
	}
	a.mu.RUnlock()

	a.mu.Lock()
	defer a.mu.Unlock()
	if a.token != nil && time.Now().Before(a.expiresAt) {
		return a.token, nil
	}

	form := fmt.Sprintf("grant_type=client_credentials&client_id=%s&client_secret=%s", 
		a.clientID, a.clientSecret)
	
	req, err := http.NewRequestWithContext(ctx, http.MethodPost, a.baseURL+OAuthEndpoint, 
		io.NopReader(form))
	if err != nil {
		return nil, fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	client := &http.Client{Timeout: 10 * time.Second}
	resp, err := client.Do(req)
	if err != nil {
		return nil, fmt.Errorf("token request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		body, _ := io.ReadAll(resp.Body)
		return nil, fmt.Errorf("auth failed %d: %s", resp.StatusCode, string(body))
	}

	var token OAuthToken
	if err := json.NewDecoder(resp.Body).Decode(&token); err != nil {
		return nil, fmt.Errorf("failed to decode token response: %w", err)
	}

	a.token = &token
	a.expiresAt = time.Now().Add(time.Duration(token.ExpiresIn-30) * time.Second)
	return a.token, nil
}

Implementation

Step 1: Construct Import Payloads with Column Mapping and Deduplication

The Outbound import engine expects a structured JSON payload containing the file reference, column mappings, and deduplication strategy. The columnMappings array maps CSV headers to Genesys contact fields. The deduplicationStrategy directive prevents duplicate phone numbers from entering the dialer queue. You must specify PHONE or EMAIL based on your contact specification.

type ImportPayload struct {
	Name                 string           `json:"name"`
	FileUri              string           `json:"fileUri"`
	ColumnMappings       []ColumnMapping  `json:"columnMappings"`
	DeduplicationStrategy string          `json:"deduplicationStrategy"`
	ContactSpecification ContactSpec      `json:"contactSpecification"`
	CallbackUrl          string           `json:"callbackUrl"`
	Format               string           `json:"format"`
}

type ColumnMapping struct {
	ColumnName string `json:"columnName"`
	Field      string `json:"field"`
	Type       string `json:"type"`
}

type ContactSpec struct {
	ContactType string `json:"contactType"`
	PhoneField  string `json:"phoneField"`
	ConsentField string `json:"consentField"`
}

func BuildImportPayload(fileUri, callbackUrl string, mappings []ColumnMapping) ImportPayload {
	return ImportPayload{
		Name:                 fmt.Sprintf("outbound_lead_import_%d", time.Now().Unix()),
		FileUri:              fileUri,
		ColumnMappings:       mappings,
		DeduplicationStrategy: "PHONE",
		ContactSpecification: ContactSpec{
			ContactType:  "OUTBOUND",
			PhoneField:   "phone",
			ConsentField: "consent_given",
		},
		CallbackUrl: callbackUrl,
		Format:      "CSV",
	}
}

Step 2: Validate Import Schemas Against Lead Engine Constraints

Genesys Cloud enforces strict schema validation before accepting an import job. The lead engine rejects payloads with malformed phone numbers, missing consent flags, or row counts exceeding the maximum batch limit. You must validate the CSV structure locally before submission to prevent 400 Bad Request responses and wasted API calls. The following validator enforces E.164 formatting, boolean consent verification, and a configurable row cap.

import (
	"regexp"
	"strings"
)

const MaxBatchRows = 50000

var e164Regex = regexp.MustCompile(`^\+[1-9]\d{1,14}$`)

type ValidationResult struct {
	Valid       bool
	InvalidRows int
	Errors      []string
}

func ValidateLeadData(csvRows [][]string, headerMap map[string]int) ValidationResult {
	res := ValidationResult{Valid: true}
	phoneIdx, consentIdx, nameIdx := -1, -1, -1

	for h, idx := range headerMap {
		switch strings.ToLower(h) {
		case "phone", "mobile", "telephone":
			phoneIdx = idx
		case "consent", "consent_given", "opt_in":
			consentIdx = idx
		case "name", "full_name", "contact_name":
			nameIdx = idx
		}
	}

	if phoneIdx == -1 || consentIdx == -1 {
		res.Valid = false
		res.Errors = append(res.Errors, "Missing required columns: phone or consent")
		return res
	}

	for i, row := range csvRows {
		if len(row) <= phoneIdx {
			continue
		}
		phone := strings.TrimSpace(row[phoneIdx])
		if !e164Regex.MatchString(phone) {
			res.InvalidRows++
			res.Errors = append(res.Errors, fmt.Sprintf("Row %d: Invalid E.164 phone format: %s", i+1, phone))
		}

		if consentIdx < len(row) {
			consent := strings.ToLower(strings.TrimSpace(row[consentIdx]))
			if consent != "true" && consent != "1" && consent != "yes" {
				res.InvalidRows++
				res.Errors = append(res.Errors, fmt.Sprintf("Row %d: Invalid consent flag: %s", i+1, row[consentIdx]))
			}
		}
	}

	if res.InvalidRows > 0 {
		res.Valid = false
	}
	if len(csvRows) > MaxBatchRows {
		res.Valid = false
		res.Errors = append(res.Errors, fmt.Sprintf("Row count %d exceeds maximum batch limit of %d", len(csvRows), MaxBatchRows))
	}

	return res
}

Step 3: Handle Data Ingestion via Atomic POST Operations with Retry Logic

The import submission is an atomic operation. You must send the fully constructed payload to /api/v2/outbound/imports with the outbound:import:create scope. The endpoint returns a 201 Created response with an id and status. You must implement exponential backoff for 429 Too Many Requests responses to avoid rate-limit cascades across your microservices.

type ImportResponse struct {
	Id         string `json:"id"`
	Status     string `json:"status"`
	CreatedAt  string `json:"created_at"`
	UpdatedBy  string `json:"updated_by"`
}

func (a *AuthManager) SubmitImport(ctx context.Context, payload ImportPayload) (*ImportResponse, error) {
	body, err := json.Marshal(payload)
	if err != nil {
		return nil, fmt.Errorf("failed to marshal payload: %w", err)
	}

	token, err := a.GetToken(ctx)
	if err != nil {
		return nil, err
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, 
		a.baseURL+"/api/v2/outbound/imports", io.NopReader(body))
	if err != nil {
		return nil, fmt.Errorf("failed to create import request: %w", err)
	}
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", token.AccessToken))

	client := &http.Client{Timeout: 30 * time.Second}
	var resp *http.Response
	var apiResp ImportResponse

	// Retry logic for 429 rate limiting
	for attempt := 0; attempt < 5; attempt++ {
		resp, err = client.Do(req)
		if err != nil {
			return nil, fmt.Errorf("request failed: %w", err)
		}
		defer resp.Body.Close()

		if resp.StatusCode == http.StatusTooManyRequests {
			retryAfter := 2 * time.Duration(attempt+1)
			log.Printf("Rate limited. Retrying in %v seconds...", retryAfter)
			time.Sleep(retryAfter * time.Second)
			continue
		}

		if resp.StatusCode != http.StatusCreated {
			bodyBytes, _ := io.ReadAll(resp.Body)
			return nil, fmt.Errorf("import failed %d: %s", resp.StatusCode, string(bodyBytes))
		}

		if err := json.NewDecoder(resp.Body).Decode(&apiResp); err != nil {
			return nil, fmt.Errorf("failed to decode response: %w", err)
		}
		return &apiResp, nil
	}

	return nil, fmt.Errorf("max retries exceeded due to rate limiting")
}

Step 4: Synchronize Importing Events with External CRM via Callback Handlers

Genesys Cloud invokes the callbackUrl provided in the import payload when the import job completes, fails, or reaches a checkpoint. The callback payload contains the import id, status, successCount, and failureCount. You must expose an HTTP endpoint that parses this event, updates your external CRM, and records audit metrics.

type CallbackEvent struct {
	Id            string `json:"id"`
	Status        string `json:"status"`
	SuccessCount  int    `json:"successCount"`
	FailureCount  int    `json:"failureCount"`
	TotalRows     int    `json:"totalRows"`
	CompletedAt   string `json:"completedAt"`
}

func HandleCallback(w http.ResponseWriter, r *http.Request, auditLog chan<- AuditRecord) {
	if r.Method != http.MethodPost {
		http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
		return
	}

	var event CallbackEvent
	if err := json.NewDecoder(r.Body).Decode(&event); err != nil {
		http.Error(w, "Invalid payload", http.StatusBadRequest)
		return
	}

	successRate := 0.0
	if event.TotalRows > 0 {
		successRate = float64(event.SuccessCount) / float64(event.TotalRows) * 100
	}

	record := AuditRecord{
		ImportId:     event.Id,
		Status:       event.Status,
		TotalRows:    event.TotalRows,
		SuccessCount: event.SuccessCount,
		FailureCount: event.FailureCount,
		SuccessRate:  successRate,
		Timestamp:    time.Now().UTC().Format(time.RFC3339),
	}

	auditLog <- record

	// Simulate CRM synchronization
	log.Printf("CRM sync triggered for import %s. Success rate: %.2f%%", event.Id, successRate)

	w.WriteHeader(http.StatusOK)
	json.NewEncoder(w).Encode(map[string]string{"status": "processed"})
}

Complete Working Example

The following module combines authentication, validation, payload construction, submission, and callback handling into a single runnable service. Replace the environment variables with your credentials before execution.

package main

import (
	"encoding/csv"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"net/http"
	"os"
	"strings"
	"time"
)

type AuditRecord struct {
	ImportId     string  `json:"import_id"`
	Status       string  `json:"status"`
	TotalRows    int     `json:"total_rows"`
	SuccessCount int     `json:"success_count"`
	FailureCount int     `json:"failure_count"`
	SuccessRate  float64 `json:"success_rate"`
	Timestamp    string  `json:"timestamp"`
}

func main() {
	clientID := os.Getenv("GENESYS_CLIENT_ID")
	clientSecret := os.Getenv("GENESYS_CLIENT_SECRET")
	filePath := os.Getenv("LEAD_CSV_PATH")
	callbackURL := os.Getenv("CALLBACK_URL")

	if clientID == "" || clientSecret == "" || filePath == "" || callbackURL == "" {
		log.Fatal("Missing required environment variables")
	}

	auth := NewAuthManager(clientID, clientSecret)
	auditLog := make(chan AuditRecord, 100)

	// Start callback listener
	go func() {
		http.HandleFunc("/callback/genesys/import", func(w http.ResponseWriter, r *http.Request) {
			HandleCallback(w, r, auditLog)
		})
		log.Println("Callback listener running on :8080/callback/genesys/import")
		if err := http.ListenAndServe(":8080", nil); err != nil {
			log.Fatalf("Server failed: %v", err)
		}
	}()

	// Parse CSV
	f, err := os.Open(filePath)
	if err != nil {
		log.Fatalf("Failed to open CSV: %v", err)
	}
	defer f.Close()

	reader := csv.NewReader(f)
	allRows, err := reader.ReadAll()
	if err != nil {
		log.Fatalf("Failed to parse CSV: %v", err)
	}

	if len(allRows) < 2 {
		log.Fatal("CSV must contain headers and at least one data row")
	}

	headers := allRows[0]
	dataRows := allRows[1:]
	headerMap := make(map[string]int)
	for i, h := range headers {
		headerMap[strings.TrimSpace(h)] = i
	}

	// Validate
	valResult := ValidateLeadData(dataRows, headerMap)
	if !valResult.Valid {
		log.Printf("Validation failed with %d invalid rows. Errors: %v", valResult.InvalidRows, valResult.Errors)
		os.Exit(1)
	}

	// Build mappings
	mappings := []ColumnMapping{
		{ColumnName: "phone", Field: "phone", Type: "STRING"},
		{ColumnName: "consent_given", Field: "consent_given", Type: "BOOLEAN"},
		{ColumnName: "full_name", Field: "name", Type: "STRING"},
	}

	payload := BuildImportPayload("https://your-bucket.s3.amazonaws.com/leads/"+filePath, callbackURL, mappings)

	// Submit
	start := time.Now()
	resp, err := auth.SubmitImport(context.Background(), payload)
	if err != nil {
		log.Fatalf("Import submission failed: %v", err)
	}
	latency := time.Since(start)
	log.Printf("Import submitted successfully. ID: %s, Status: %s, Latency: %v", resp.Id, resp.Status, latency)

	// Write initial audit log
	auditLog <- AuditRecord{
		ImportId:  resp.Id,
		Status:    resp.Status,
		TotalRows: len(dataRows),
		Timestamp: time.Now().UTC().Format(time.RFC3339),
	}

	// Keep running to receive callbacks
	select {}
}

Common Errors & Debugging

Error: 400 Bad Request - Invalid Column Mapping or Schema Mismatch

• Cause: The columnMappings array references fields that do not exist in the CSV header, or the deduplicationStrategy conflicts with the ContactSpecification.
• Fix: Verify that every ColumnName in the payload exactly matches the CSV header. Ensure the phoneField in ContactSpecification matches one of the mapped columns. Run the local ValidateLeadData function before submission to catch mismatches early.
• Code showing the fix: The ValidateLeadData function checks header presence and enforces E.164 formatting before the payload reaches Genesys.

Error: 401 Unauthorized or 403 Forbidden

• Cause: The OAuth token expired, or the client credentials lack the outbound:import:create scope.
• Fix: Confirm that the OAuth client in the Genesys admin console has the required scopes enabled. The AuthManager automatically refreshes tokens, but verify that expires_in is correctly parsed and that the client clock is synchronized.
• Code showing the fix: The GetToken method checks time.Now().Before(a.expiresAt) and refreshes the token before expiration. Add scope verification during client creation.

Error: 429 Too Many Requests

• Cause: Exceeding the Genesys Cloud API rate limit for import submissions or token requests.
• Fix: Implement exponential backoff. The SubmitImport function includes a retry loop that sleeps for 2^(attempt+1) seconds before retrying. Monitor the Retry-After header in production environments for precise backoff timing.
• Code showing the fix: The retry loop in SubmitImport handles 429 responses automatically and aborts after five attempts.

Error: Import Fails During Ingestion with 0 Success Count

• Cause: The CSV contains rows with malformed phone numbers, missing consent flags, or exceeds the maximum batch row limit.
• Fix: Pre-validate the dataset using the ValidateLeadData pipeline. Chunk large files into batches under MaxBatchRows before submission. Review the callback event failureCount and Errors array to identify specific row indices.
• Code showing the fix: The validation step rejects the payload locally if res.InvalidRows > 0 or len(csvRows) > MaxBatchRows, preventing unnecessary API calls.

Official References

• Genesys Cloud Outbound Import API Documentation
• Genesys Cloud OAuth 2.0 Authentication Guide
• Go Standard Library HTTP Client Reference
• E.164 Phone Number Format Specification