Efficiently Paginate Genesys Cloud User Datasets Using Cursor-Based Navigation in Python

What You Will Build

• A Python generator that streams Genesys Cloud user records one page at a time, applying in-memory filters without loading the entire dataset into RAM.
• This implementation uses the official genesyscloud Python SDK alongside explicit cursor-based pagination logic (nextPageToken fallback to pageNumber).
• The tutorial covers Python 3.9+ with production-ready error handling, retry logic for rate limits, and memory-safe data processing patterns.

Prerequisites

• OAuth client type and required scopes: Service Account (Client Credentials flow) with the user:read scope.
• SDK version or API version: genesyscloud>=2.0.0, Genesys Cloud API v2.
• Language/runtime requirements: Python 3.9 or higher, pip package manager.
• External dependencies: genesyscloud, httpx, typing, time, logging.

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials flow for service-to-service authentication. Tokens expire after 3,600 seconds. You must cache the token and refresh it before expiration to prevent 401 errors during long-running pagination jobs. The following implementation uses httpx to fetch the token and implements a simple TTL cache.

import httpx
import time
import logging
from typing import Optional

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")

class GenesysTokenManager:
    def __init__(self, client_id: str, client_secret: str, org_domain: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.token_endpoint = f"https://{org_domain}/api/v2/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0.0

    def _fetch_token(self) -> str:
        """Exchange client credentials for a bearer token."""
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        
        response = httpx.post(
            self.token_endpoint,
            data=payload,
            headers={"Content-Type": "application/x-www-form-urlencoded"}
        )
        
        if response.status_code != 200:
            logging.error("Token fetch failed: %s", response.text)
            raise RuntimeError(f"OAuth error: {response.status_code} {response.text}")
            
        token_data = response.json()
        self.access_token = token_data["access_token"]
        self.token_expiry = time.time() + token_data.get("expires_in", 3600) - 60  # Refresh 60s early
        return self.access_token

    def get_valid_token(self) -> str:
        """Return a cached token or fetch a new one if expired."""
        if not self.access_token or time.time() >= self.token_expiry:
            return self._fetch_token()
        return self.access_token

You must attach the token to every SDK or HTTP request. The genesyscloud SDK accepts a token provider callback, which simplifies automatic refresh during pagination loops.

from genesyscloud import PlatformClient

def init_sdk(token_manager: GenesysTokenManager, org_domain: str) -> PlatformClient:
    client = PlatformClient()
    client.set_environment(org_domain)
    
    def token_provider() -> str:
        return token_manager.get_valid_token()
        
    client.set_token_provider(token_provider)
    return client

Implementation

Step 1: Configure SDK Retry Logic for Rate Limits

Genesys Cloud enforces strict rate limits. Large pagination jobs frequently trigger HTTP 429 responses. The SDK does not automatically retry 429s with exponential backoff by default. You must wrap API calls in a retry decorator or function that respects the Retry-After header.

import time
import httpx
from typing import Callable, Any

def retry_on_rate_limit(max_retries: int = 5, base_delay: float = 1.0):
    """Decorator that retries API calls on 429 responses using exponential backoff."""
    def decorator(func: Callable) -> Callable:
        def wrapper(*args, **kwargs) -> Any:
            for attempt in range(1, max_retries + 1):
                try:
                    return func(*args, **kwargs)
                except Exception as e:
                    # Check for SDK-specific rate limit exceptions or HTTP 429
                    if hasattr(e, 'status_code') and e.status_code == 429:
                        retry_after = float(getattr(e, 'headers', {}).get('Retry-After', base_delay * (2 ** (attempt - 1))))
                        logging.warning("Rate limited (429). Retrying in %.2f seconds (attempt %d/%d)", retry_after, attempt, max_retries)
                        time.sleep(retry_after)
                    elif "429" in str(e):
                        delay = base_delay * (2 ** (attempt - 1))
                        logging.warning("Rate limited (429). Retrying in %.2f seconds (attempt %d/%d)", delay, attempt, max_retries)
                        time.sleep(delay)
                    else:
                        logging.error("Non-retryable error: %s", e)
                        raise
            raise RuntimeError("Max retries exceeded for rate limit handling.")
        return wrapper
    return decorator

You will apply this decorator to the pagination function. The SDK raises PlatformApiException on errors, which includes the status_code attribute. The wrapper catches it, extracts the delay, and sleeps before retrying.

Step 2: Build a Memory-Efficient Pagination Generator

Loading all users into a list consumes excessive RAM when datasets exceed 10,000 records. A generator yields one record at a time, keeping memory footprint constant regardless of dataset size. Genesys Cloud endpoints support cursor-based pagination via nextPageToken. When nextPageToken is absent, the API falls back to offset-based pageNumber. The following generator handles both patterns transparently.

from genesyscloud.users_api import UsersApi
from typing import Generator, Any

@retry_on_rate_limit(max_retries=5, base_delay=2.0)
def stream_users(client: PlatformClient, page_size: int = 100) -> Generator[Any, None, None]:
    """
    Yields user objects one at a time using cursor-based pagination.
    Falls back to pageNumber if nextPageToken is not returned.
    """
    users_api = UsersApi(client)
    page_number = 1
    next_page_token: Optional[str] = None
    
    while True:
        try:
            # Construct request parameters
            params = {"pageSize": page_size}
            
            if next_page_token:
                params["nextPageToken"] = next_page_token
            else:
                params["pageNumber"] = page_number
                
            response = users_api.list_users(**params)
            
            # Process entities
            if not response.entities:
                break
                
            for user in response.entities:
                yield user
                
            # Determine pagination strategy for next iteration
            if hasattr(response, 'links') and response.links and 'next' in response.links:
                # Extract token from next link if present (cursor-based)
                next_link = response.links['next']
                if 'nextPageToken' in next_link:
                    next_page_token = next_link['nextPageToken']
                    # Continue loop, pageNumber ignored when token exists
                    continue
                else:
                    next_page_token = None
                    page_number += 1
            else:
                # Fallback to offset pagination
                next_page_token = None
                page_number += 1
                
            # Safety break for offset pagination
            if response.page_size * (page_number - 1) >= response.total:
                break
                
        except Exception as e:
            logging.error("Pagination failed: %s", e)
            raise

The generator avoids accumulating results. Each yield passes control back to the consumer immediately. This pattern prevents MemoryError exceptions when processing enterprise-scale directories. The nextPageToken check ensures compatibility with Genesys Cloud’s transition to cursor-based pagination across v2 endpoints.

Step 3: Process Results with Stateful Filtering

Consuming the generator requires a simple iteration loop. You can apply filters, transform records, or write to external storage without ever holding more than one page in memory. The following example filters for active users with valid email addresses and writes them to a newline-delimited JSON file.

import json
import logging

def process_user_dataset(client: PlatformClient, output_file: str = "users_export.ndjson") -> None:
    """
    Consumes the user generator, applies business filters, and streams output to disk.
    """
    processed_count = 0
    skipped_count = 0
    
    with open(output_file, "w", encoding="utf-8") as f:
        for user in stream_users(client, page_size=100):
            # Apply filter: active users with non-null email
            if not user.active or not user.email:
                skipped_count += 1
                continue
                
            # Serialize to NDJSON format for easy streaming consumption downstream
            record = {
                "id": user.id,
                "name": user.name,
                "email": user.email,
                "division_id": user.division.id if user.division else None,
                "created_date": user.created_date
            }
            
            f.write(json.dumps(record) + "\n")
            processed_count += 1
            
            # Log progress every 500 records
            if processed_count % 500 == 0:
                logging.info("Processed %d users, skipped %d", processed_count, skipped_count)
                
    logging.info("Export complete. Processed: %d, Skipped: %d", processed_count, skipped_count)

This approach keeps RAM usage flat. The file handle streams directly to disk. Downstream systems can ingest the NDJSON file incrementally. You can replace the file write with database inserts, queue messages, or real-time API calls without modifying the pagination logic.

Complete Working Example

The following script combines authentication, SDK initialization, pagination, and processing into a single executable module. Replace the placeholder credentials before running.

#!/usr/bin/env python3
"""
Genesys Cloud User Dataset Exporter
Streams user records using cursor-based pagination with memory-safe processing.
Requires: pip install genesyscloud httpx
"""

import httpx
import time
import json
import logging
from typing import Optional, Generator, Any

from genesyscloud import PlatformClient
from genesyscloud.users_api import UsersApi

logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")

class GenesysTokenManager:
    def __init__(self, client_id: str, client_secret: str, org_domain: str):
        self.client_id = client_id
        self.client_secret = client_secret
        self.token_endpoint = f"https://{org_domain}/api/v2/oauth/token"
        self.access_token: Optional[str] = None
        self.token_expiry: float = 0.0

    def _fetch_token(self) -> str:
        payload = {
            "grant_type": "client_credentials",
            "client_id": self.client_id,
            "client_secret": self.client_secret
        }
        response = httpx.post(self.token_endpoint, data=payload, headers={"Content-Type": "application/x-www-form-urlencoded"})
        if response.status_code != 200:
            raise RuntimeError(f"OAuth error: {response.status_code} {response.text}")
        token_data = response.json()
        self.access_token = token_data["access_token"]
        self.token_expiry = time.time() + token_data.get("expires_in", 3600) - 60
        return self.access_token

    def get_valid_token(self) -> str:
        if not self.access_token or time.time() >= self.token_expiry:
            return self._fetch_token()
        return self.access_token

def init_sdk(token_manager: GenesysTokenManager, org_domain: str) -> PlatformClient:
    client = PlatformClient()
    client.set_environment(org_domain)
    client.set_token_provider(lambda: token_manager.get_valid_token())
    return client

def retry_on_rate_limit(max_retries: int = 5, base_delay: float = 2.0):
    def decorator(func):
        def wrapper(*args, **kwargs):
            for attempt in range(1, max_retries + 1):
                try:
                    return func(*args, **kwargs)
                except Exception as e:
                    is_429 = (hasattr(e, 'status_code') and e.status_code == 429) or "429" in str(e)
                    if is_429:
                        delay = base_delay * (2 ** (attempt - 1))
                        logging.warning("Rate limited (429). Retrying in %.2fs (attempt %d/%d)", delay, attempt, max_retries)
                        time.sleep(delay)
                    else:
                        raise
            raise RuntimeError("Max retries exceeded.")
        return wrapper
    return decorator

@retry_on_rate_limit(max_retries=5, base_delay=2.0)
def stream_users(client: PlatformClient, page_size: int = 100) -> Generator[Any, None, None]:
    users_api = UsersApi(client)
    page_number = 1
    next_page_token: Optional[str] = None
    
    while True:
        try:
            params = {"pageSize": page_size}
            if next_page_token:
                params["nextPageToken"] = next_page_token
            else:
                params["pageNumber"] = page_number
                
            response = users_api.list_users(**params)
            
            if not response.entities:
                break
                
            for user in response.entities:
                yield user
                
            if hasattr(response, 'links') and response.links and 'next' in response.links:
                next_link = response.links['next']
                if 'nextPageToken' in next_link:
                    next_page_token = next_link['nextPageToken']
                    continue
                else:
                    next_page_token = None
                    page_number += 1
            else:
                next_page_token = None
                page_number += 1
                
            if response.page_size * (page_number - 1) >= response.total:
                break
                
        except Exception as e:
            logging.error("Pagination failed: %s", e)
            raise

def main():
    CLIENT_ID = "your_client_id_here"
    CLIENT_SECRET = "your_client_secret_here"
    ORG_DOMAIN = "your_domain.mygenesys.com"
    
    token_mgr = GenesysTokenManager(CLIENT_ID, CLIENT_SECRET, ORG_DOMAIN)
    client = init_sdk(token_mgr, ORG_DOMAIN)
    
    processed = 0
    with open("users_export.ndjson", "w", encoding="utf-8") as f:
        for user in stream_users(client, page_size=100):
            if not user.active or not user.email:
                continue
            record = {
                "id": user.id,
                "name": user.name,
                "email": user.email,
                "division_id": user.division.id if user.division else None
            }
            f.write(json.dumps(record) + "\n")
            processed += 1
            
    logging.info("Export complete. Processed %d users.", processed)

if __name__ == "__main__":
    main()

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token is invalid, expired, or the client credentials are incorrect. The token provider fails to attach a valid bearer token to the request.
• How to fix it: Verify the client_id and client_secret match a Service Account in Genesys Cloud. Ensure the token manager refreshes the token before expiration. Check the Authorization: Bearer <token> header in the raw HTTP request.
• Code showing the fix: The GenesysTokenManager.get_valid_token() method implements a TTL check with a 60-second safety buffer. The SDK token provider callback ensures every request fetches a fresh token when needed.

Error: 403 Forbidden

• What causes it: The Service Account lacks the user:read OAuth scope. Genesys Cloud enforces scope-based authorization at the API gateway level.
• How to fix it: Navigate to Admin > Security > Service Accounts, locate your client, and add user:read to the OAuth scopes. Wait 60 seconds for policy propagation before retrying.
• Code showing the fix: No code change is required. The error response body contains "error": "forbidden" and "error_description": "Insufficient scopes". Log the response payload to confirm scope mismatch.

Error: 429 Too Many Requests

• What causes it: The pagination loop exceeds the Genesys Cloud rate limit threshold (typically 10-20 requests per second per tenant for list endpoints). Rapid generator consumption triggers throttling.
• How to fix it: Implement exponential backoff with jitter. Respect the Retry-After header in the 429 response. Reduce page_size to 50 if the tenant enforces strict concurrency limits.
• Code showing the fix: The retry_on_rate_limit decorator catches 429 exceptions, extracts the delay, and sleeps before retrying. The base_delay and max_retries parameters control backoff behavior.

Error: SDK Pagination Stalls or Returns Duplicate Records

• What causes it: Mixing nextPageToken and pageNumber in the same request payload confuses the API router. Genesys Cloud prioritizes nextPageToken when both are present, which can cause offset misalignment.
• How to fix it: Isolate pagination parameters. Use nextPageToken exclusively when the response includes it. Fall back to pageNumber only when nextPageToken is absent. The stream_users generator implements this conditional logic explicitly.
• Code showing the fix: The params dictionary construction in stream_users checks if next_page_token: before adding nextPageToken, ensuring mutual exclusion.

Official References

• Genesys Cloud Users API Documentation
• Genesys Cloud Python SDK Reference
• OAuth 2.0 Client Credentials Flow Guide
• Rate Limiting and Retry Policies
• NDJSON Streaming Best Practices