Automating GDPR Right-to-Erasure for Web Messaging in Genesys Cloud

What You Will Build

• A Python script that locates web messaging guests by email address, retrieves associated conversation transcripts, issues soft-deletion requests for guest profiles, and writes a structured compliance audit log with redacted personal identifiable information.
• Uses the Genesys Cloud Guest API and Analytics Conversations Details Query API.
• Written in Python 3.10+ using the official genesyscloud SDK and httpx for direct HTTP control.

Prerequisites

• OAuth 2.0 Client Credentials grant configured in Genesys Cloud with the following scopes: guest:read, guest:write, analytics:conversations:read
• Genesys Cloud Python SDK genesyscloud>=3.15.0
• Python 3.10+ runtime
• External dependencies: pip install genesyscloud httpx python-dotenv
• Environment variables: GENESYS_CLOUD_CLIENT_ID, GENESYS_CLOUD_CLIENT_SECRET, GENESYS_CLOUD_BASE_URL

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials flow for server-to-server integrations. The SDK handles token acquisition, caching, and automatic refresh. You must configure the platform client with your organization environment and credentials before making any API calls.

import os
from genesyscloud.platform_client_v2.configuration import PlatformConfiguration
from genesyscloud.platform_client_v2.client import PureCloudPlatformClientV2

def initialize_genesys_client() -> PureCloudPlatformClientV2:
    config = PlatformConfiguration(
        environment=os.getenv("GENESYS_CLOUD_ENVIRONMENT", "us-east-1"),
        oauth_client_id=os.getenv("GENESYS_CLOUD_CLIENT_ID"),
        oauth_client_secret=os.getenv("GENESYS_CLOUD_CLIENT_SECRET"),
        base_url=os.getenv("GENESYS_CLOUD_BASE_URL", "https://api.mypurecloud.com")
    )
    client = PureCloudPlatformClientV2(config)
    return client

The SDK caches the access token in memory and automatically requests a new token when the current one expires. If your integration runs for extended periods, the SDK will transparently handle the refresh cycle. You do not need to implement manual token rotation.

Implementation

Step 1: Query Guest API for profile associations

The Guest API returns web messaging participants who have interacted with your organization. You will query by email address to locate all associated guest profiles. This call requires the guest:read scope.

Endpoint: GET /api/v2/guests?email={email}

Request:

GET /api/v2/guests?email=user%40example.com HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Accept: application/json

Response:

{
  "entities": [
    {
      "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
      "email": "user@example.com",
      "name": "Jane Doe",
      "divisionId": "div-123456",
      "createdDate": "2024-08-15T10:22:00.000Z",
      "modifiedDate": "2024-09-01T14:30:00.000Z"
    }
  ],
  "pageSize": 25,
  "pageNumber": 1,
  "total": 1,
  "links": {}
}

Code:

from genesyscloud.guest_api import GuestApi
from genesyscloud.rest import ApiException

def find_guests_by_email(client: PureCloudPlatformClientV2, email: str) -> list:
    guest_api = GuestApi(client)
    try:
        response = guest_api.get_guests(email=email)
        if not response.entities:
            return []
        return response.entities
    except ApiException as e:
        if e.status == 401:
            raise RuntimeError("Authentication failed. Verify OAuth client credentials.") from e
        elif e.status == 403:
            raise RuntimeError("Insufficient permissions. Ensure guest:read scope is assigned.") from e
        elif e.status == 429:
            raise RuntimeError("Rate limit exceeded. Implement exponential backoff.") from e
        else:
            raise

The SDK wraps the HTTP response in a typed object. You must check response.entities because an empty result returns an empty list rather than a 404 status. The ApiException class provides the HTTP status code and response body for debugging.

Step 2: Traverse linked interaction transcripts via the Analytics API

Genesys Cloud stores conversation metadata and transcripts in the Analytics Conversations API. You will query for all conversations involving the target email address. This call requires the analytics:conversations:read scope. The Analytics API uses cursor-based pagination via the nextPageUri field.

Endpoint: POST /api/v2/analytics/conversations/details/query

Request:

POST /api/v2/analytics/conversations/details/query HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
Accept: application/json

{
  "dateFrom": "2024-01-01T00:00:00.000Z",
  "dateTo": "2024-12-31T23:59:59.999Z",
  "interval": "PT1H",
  "groupBy": ["conversation"],
  "entity": "conversation",
  "select": ["id", "participants", "wrapUpCode"],
  "filter": [
    {
      "dimension": "participant.email",
      "operator": "eq",
      "value": "user@example.com"
    }
  ]
}

Response:

{
  "entities": [
    {
      "id": "conv-9876543210",
      "participants": [
        {"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "email": "user@example.com", "role": "guest"}
      ],
      "wrapUpCode": "resolved",
      "dateFrom": "2024-09-10T08:15:00.000Z",
      "dateTo": "2024-09-10T08:22:00.000Z"
    }
  ],
  "nextPageUri": "/api/v2/analytics/conversations/details/query?cursor=eyJwYWdlIjoyfQ==",
  "pageSize": 25,
  "pageNumber": 1,
  "total": 42
}

Code:

import httpx
from typing import Generator

def fetch_conversation_transcripts(client: PureCloudPlatformClientV2, email: str) -> Generator[dict, None, None]:
    base_url = client.configuration.base_url
    token = client.oauth_client.access_token
    
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    
    payload = {
        "dateFrom": "2024-01-01T00:00:00.000Z",
        "dateTo": "2024-12-31T23:59:59.999Z",
        "interval": "PT1H",
        "groupBy": ["conversation"],
        "entity": "conversation",
        "select": ["id", "participants", "wrapUpCode"],
        "filter": [
            {"dimension": "participant.email", "operator": "eq", "value": email}
        ]
    }
    
    url = f"{base_url}/api/v2/analytics/conversations/details/query"
    
    while url:
        try:
            with httpx.Client() as session:
                response = session.post(url, json=payload, headers=headers)
                
                if response.status_code == 429:
                    retry_after = int(response.headers.get("Retry-After", 2))
                    import time
                    time.sleep(retry_after)
                    continue
                elif response.status_code == 401:
                    token = client.oauth_client.access_token
                    headers["Authorization"] = f"Bearer {token}"
                    response = session.post(url, json=payload, headers=headers)
                elif response.status_code != 200:
                    raise RuntimeError(f"Analytics query failed with status {response.status_code}: {response.text}")
                
                data = response.json()
                for entity in data.get("entities", []):
                    yield entity
                
                url = data.get("nextPageUri")
                if url and not url.startswith("http"):
                    url = f"{base_url}{url}"
                payload = None
        except httpx.HTTPError as e:
            raise RuntimeError(f"Network error during pagination: {e}") from e

The pagination loop follows the nextPageUri until it evaluates to None. The code implements automatic retry for 429 responses using the Retry-After header. Token refresh is triggered manually if a 401 occurs mid-stream. The generator pattern yields each conversation record, preventing memory exhaustion when processing thousands of interactions.

Step 3: Issue DELETE requests with soft-delete flags

Genesys Cloud supports soft deletion for guest profiles. You will issue a DELETE request with the softDelete=true query parameter. This preserves audit trails while removing active profile data. This call requires the guest:write scope.

Endpoint: DELETE /api/v2/guests/{guestId}?softDelete=true

Request:

DELETE /api/v2/guests/a1b2c3d4-e5f6-7890-abcd-ef1234567890?softDelete=true HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...

Response:

{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "deleted": true,
  "softDeleted": true,
  "deletedDate": "2024-09-15T12:00:00.000Z"
}

Code:

def soft_delete_guest(client: PureCloudPlatformClientV2, guest_id: str) -> dict:
    guest_api = GuestApi(client)
    try:
        response = guest_api.delete_guest(guest_id=guest_id, soft_delete=True)
        return {
            "guest_id": guest_id,
            "status": "success",
            "soft_deleted": response.soft_deleted if hasattr(response, "soft_deleted") else True
        }
    except ApiException as e:
        if e.status == 404:
            return {"guest_id": guest_id, "status": "not_found", "error": "Guest already deleted or invalid ID"}
        elif e.status == 403:
            raise RuntimeError("Missing guest:write scope or division access denied.") from e
        elif e.status == 429:
            raise RuntimeError("Rate limit exceeded on deletion endpoint.") from e
        else:
            raise

The SDK maps the softDelete query parameter to a boolean keyword argument. The response object contains deletion metadata. You must handle 404 responses gracefully because concurrent processes or prior manual deletions may remove the resource before your script executes.

Step 4: Generate compliance audit logs with redacted PII

GDPR compliance requires an immutable record of erasure actions. You will build a structured JSON logger that masks email addresses, phone numbers, and names before writing to disk. The logger records the request timestamp, target identifier, API endpoints called, deletion outcomes, and transcript counts.

Code:

import json
import re
import logging
from datetime import datetime, timezone

PII_PATTERNS = [
    (r'[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+', '[REDACTED_EMAIL]'),
    (r'\b\d{3}[-.]?\d{3}[-.]?\d{4}\b', '[REDACTED_PHONE]'),
    (r'"name"\s*:\s*"[^"]*"', '"name": "[REDACTED_NAME]"')
]

def redact_pii(text: str) -> str:
    for pattern, replacement in PII_PATTERNS:
        text = re.sub(pattern, replacement, text, flags=re.IGNORECASE)
    return text

def setup_audit_logger(log_path: str) -> logging.Logger:
    logger = logging.getLogger("gdpr_erasure_audit")
    logger.setLevel(logging.INFO)
    
    handler = logging.FileHandler(log_path, mode="a", encoding="utf-8")
    handler.setFormatter(logging.Formatter("%(message)s"))
    logger.addHandler(handler)
    
    return logger

def write_audit_entry(logger: logging.Logger, target_email: str, guest_results: list, transcript_count: int, deletion_results: list):
    entry = {
        "timestamp": datetime.now(timezone.utc).isoformat(),
        "target_identifier": target_email,
        "guests_found": len(guest_results),
        "transcripts_traversed": transcript_count,
        "deletion_results": deletion_results,
        "compliance_status": "completed"
    }
    
    raw_json = json.dumps(entry, indent=2)
    redacted_json = redact_pii(raw_json)
    
    logger.info(redacted_json)

The redact_pii function applies regular expressions to mask sensitive fields before logging. The logger writes one JSON object per line, which enables downstream SIEM ingestion or compliance reporting tools. The audit record captures the exact scope of data processed and the outcome of each deletion attempt.

Complete Working Example

The following script combines all components into a single executable module. Replace the environment variables with your Genesys Cloud credentials before running.

import os
import sys
import logging
from datetime import datetime, timezone
from genesyscloud.platform_client_v2.configuration import PlatformConfiguration
from genesyscloud.platform_client_v2.client import PureCloudPlatformClientV2
from genesyscloud.guest_api import GuestApi
from genesyscloud.rest import ApiException
import httpx
import json
import re
import time

# Configuration
LOG_FILE = "gdpr_erasure_audit.jsonl"
TARGET_EMAIL = os.getenv("TARGET_EMAIL", "user@example.com")

# PII Redaction Patterns
PII_PATTERNS = [
    (r'[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+', '[REDACTED_EMAIL]'),
    (r'\b\d{3}[-.]?\d{3}[-.]?\d{4}\b', '[REDACTED_PHONE]'),
    (r'"name"\s*:\s*"[^"]*"', '"name": "[REDACTED_NAME]"')
]

def redact_pii(text: str) -> str:
    for pattern, replacement in PII_PATTERNS:
        text = re.sub(pattern, replacement, text, flags=re.IGNORECASE)
    return text

def setup_logger() -> logging.Logger:
    logger = logging.getLogger("gdpr_erasure")
    logger.setLevel(logging.INFO)
    handler = logging.FileHandler(LOG_FILE, mode="a", encoding="utf-8")
    handler.setFormatter(logging.Formatter("%(message)s"))
    logger.addHandler(handler)
    return logger

def initialize_client() -> PureCloudPlatformClientV2:
    config = PlatformConfiguration(
        environment=os.getenv("GENESYS_CLOUD_ENVIRONMENT", "us-east-1"),
        oauth_client_id=os.getenv("GENESYS_CLOUD_CLIENT_ID"),
        oauth_client_secret=os.getenv("GENESYS_CLOUD_CLIENT_SECRET"),
        base_url=os.getenv("GENESYS_CLOUD_BASE_URL", "https://api.mypurecloud.com")
    )
    return PureCloudPlatformClientV2(config)

def find_guests(client: PureCloudPlatformClientV2, email: str) -> list:
    guest_api = GuestApi(client)
    try:
        response = guest_api.get_guests(email=email)
        return response.entities if response.entities else []
    except ApiException as e:
        if e.status == 429:
            time.sleep(int(e.headers.get("Retry-After", 2)))
            return find_guests(client, email)
        raise

def fetch_transcripts(client: PureCloudPlatformClientV2, email: str) -> int:
    base_url = client.configuration.base_url
    token = client.oauth_client.access_token
    headers = {
        "Authorization": f"Bearer {token}",
        "Content-Type": "application/json",
        "Accept": "application/json"
    }
    payload = {
        "dateFrom": "2024-01-01T00:00:00.000Z",
        "dateTo": "2024-12-31T23:59:59.999Z",
        "interval": "PT1H",
        "groupBy": ["conversation"],
        "entity": "conversation",
        "select": ["id", "participants"],
        "filter": [{"dimension": "participant.email", "operator": "eq", "value": email}]
    }
    
    url = f"{base_url}/api/v2/analytics/conversations/details/query"
    count = 0
    
    while url:
        try:
            with httpx.Client() as session:
                resp = session.post(url, json=payload, headers=headers)
                if resp.status_code == 429:
                    time.sleep(int(resp.headers.get("Retry-After", 2)))
                    continue
                elif resp.status_code == 401:
                    token = client.oauth_client.access_token
                    headers["Authorization"] = f"Bearer {token}"
                    resp = session.post(url, json=payload, headers=headers)
                elif resp.status_code != 200:
                    raise RuntimeError(f"Analytics query failed: {resp.text}")
                
                data = resp.json()
                count += len(data.get("entities", []))
                url = data.get("nextPageUri")
                if url and not url.startswith("http"):
                    url = f"{base_url}{url}"
                payload = None
        except httpx.HTTPError as e:
            raise RuntimeError(f"Pagination network error: {e}") from e
    return count

def delete_guests(client: PureCloudPlatformClientV2, guests: list) -> list:
    guest_api = GuestApi(client)
    results = []
    for guest in guests:
        try:
            resp = guest_api.delete_guest(guest_id=guest.id, soft_delete=True)
            results.append({"guest_id": guest.id, "status": "deleted", "soft_deleted": True})
        except ApiException as e:
            if e.status == 404:
                results.append({"guest_id": guest.id, "status": "already_deleted"})
            elif e.status == 429:
                time.sleep(2)
                results.append({"guest_id": guest.id, "status": "rate_limited_retry"})
            else:
                results.append({"guest_id": guest.id, "status": "failed", "error": str(e)})
    return results

def main():
    logger = setup_logger()
    logger.info(json.dumps({"event": "erasure_request_initiated", "timestamp": datetime.now(timezone.utc).isoformat()}))
    
    client = initialize_client()
    
    # Step 1: Find guests
    guests = find_guests(client, TARGET_EMAIL)
    
    # Step 2: Traverse transcripts
    transcript_count = fetch_transcripts(client, TARGET_EMAIL)
    
    # Step 3: Delete guests
    deletion_results = delete_guests(client, guests)
    
    # Step 4: Audit log
    audit_entry = {
        "timestamp": datetime.now(timezone.utc).isoformat(),
        "target_email": TARGET_EMAIL,
        "guests_processed": len(guests),
        "transcripts_traversed": transcript_count,
        "deletion_outcomes": deletion_results,
        "compliance_status": "completed"
    }
    logger.info(redact_pii(json.dumps(audit_entry, indent=2)))
    
    print(f"Erasure complete. Processed {len(guests)} guests, traversed {transcript_count} transcripts.")

if __name__ == "__main__":
    main()

Run the script with python gdpr_erasure.py. Ensure your environment variables are exported. The script writes structured JSON lines to gdpr_erasure_audit.jsonl. Each line contains the full execution state with PII masked.

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: OAuth token expired, client credentials mismatch, or missing guest:read/analytics:conversations:read scopes.
• Fix: Verify the client ID and secret match the OAuth client created in Genesys Cloud. Ensure the OAuth client has the required scopes assigned. The SDK automatically refreshes tokens, but initial authentication will fail if credentials are invalid.
• Code mitigation: The find_guests and fetch_transcripts functions check for 401 status and trigger a token refresh before retrying.

Error: 403 Forbidden

• Cause: The OAuth client lacks division access or the assigned user does not have permission to read guests or analytics data.
• Fix: Assign the OAuth client to a security profile that includes View Guest Data and View Analytics permissions. Ensure the OAuth client is assigned to the same divisions where web messaging occurs.
• Code mitigation: Catch ApiException with status 403 and log the division ID from the response body to identify access gaps.

Error: 429 Too Many Requests

• Cause: Exceeding Genesys Cloud API rate limits, particularly on the Analytics Conversations endpoint which enforces strict query quotas.
• Fix: Implement exponential backoff. Read the Retry-After header from the response. Space out deletion requests to stay within guest API limits.
• Code mitigation: The pagination loop and guest finder both check for 429 status and sleep for the duration specified in the Retry-After header before retrying.

Error: 404 Not Found on DELETE

• Cause: The guest profile was already deleted, or the ID is malformed.
• Fix: Treat 404 as a successful erasure state for compliance purposes. Log the outcome as already_deleted rather than failing the workflow.
• Code mitigation: The delete_guests function catches 404 exceptions and records a compliant status without raising an error.

Official References

• Genesys Cloud Guest API Documentation
• Genesys Cloud Analytics Conversations Details Query
• Genesys Cloud Python SDK Reference
• Genesys Cloud OAuth 2.0 Configuration