Implementing a bulk retrieval mechanism for screen recording metadata within a custom AppFoundry integration is currently hitting persistent rate limiting issues. The integration serves an enterprise client with a large agent workforce, requiring the synchronization of recording transcripts and metadata to an external data lake for analytics processing.
The application utilizes the Genesys Cloud Platform API endpoint /api/v2/analytics/recordings/screen to fetch recording identifiers. The logic implements pagination with a standard page size of 100 records. Despite adhering to the documented best practices for pagination and implementing a basic exponential backoff strategy upon receiving a 429 Too Many Requests response, the integration continues to fail during peak synchronization windows.
The environment is configured with a dedicated OAuth 2.0 service account possessing the screen:read and analytics:read scopes. The error response consistently returns the following headers:
Retry-After: 5
X-RateLimit-Limit: 200
X-RateLimit-Remaining: 0
X-RateLimit-Reset: 1678901234
The Retry-After value varies between 5 and 15 seconds, which is insufficient for processing the volume of recordings generated by a 500-seat deployment during business hours. The integration is deployed in the us-east-1 region, matching the client’s primary Genesys Cloud tenant region.
Is there a specific optimization strategy for high-volume screen recording retrieval that bypasses the standard endpoint rate limits? Has anyone successfully implemented a webhook-based approach for screen recording completion events to avoid polling altogether? The current polling method appears unsustainable for scaling across multiple tenant deployments. Additionally, are there known limitations on the screenRecording API endpoints when accessed via AppFoundry-hosted applications compared to direct platform integrations?
Any insights on handling large-scale screen recording data extraction without triggering persistent throttling would be appreciated. The goal is to ensure near-real-time availability of metadata in the external analytics platform without compromising the stability of the primary Genesys Cloud environment.