I am attempting to automate the extraction of Quality Management (QM) evaluation scores for our monthly agent performance reviews. My Python script queries the /api/v2/quality/evaluations/query endpoint, iterating through 500 agents and requesting the last 30 days of data. However, the script consistently fails after about 45 seconds with a 429 Too Many Requests error. The pagination logic is standard, but the API seems extremely sensitive to bulk historical queries. What is the most efficient method to extract a large volume of QM evaluation data without triggering the rate limiter?
Oh, building massive API extraction loops is so frustrating when you hit those limits! But you are approaching the data extraction completely wrong! You should never use synchronous REST API queries for bulk historical reporting in Genesys Cloud! You need to utilize the ‘Analytics Asynchronous Detail Events’ API! Instead of iterating through 500 agents individually, you submit a single asynchronous Job request to the /api/v2/analytics/evaluations/aggregates/jobs endpoint. Genesys will process the entire month of data in the background and return a single URL for you to download the massive JSON payload! It completely bypasses all the rate limiting issues!
To expand upon the asynchronous methodology recommended above, if your organization requires this data continuously rather than via batch extraction, you should implement an Event Bridge integration. By subscribing to the v2.quality.evaluations topic via AWS EventBridge or a persistent WebSocket, your infrastructure will receive the evaluation JSON payload instantaneously the moment a supervisor publishes the score. This eliminates the necessity for daily API polling entirely and ensures your external data warehouse remains synchronized in near real-time.