I’m hitting the 200-item limit on /api/v2/iam/queues when trying to fetch all queues across our multiple divisions. I know the SDK has pagination helpers, but I’m struggling to chain them correctly in my Deno edge function without hitting rate limits or missing data.
Context:
I’m using the @genesyscloud/purecloud-platform-client-v2 SDK in a Deno Deploy environment. I need to aggregate queue data from three specific divisions. The standard getQueues call returns a truncated list. I tried using nextPage but the division filter seems to reset or behave unexpectedly when paginating across boundaries.
Question:
What is the most robust pattern for iterating through all pages of queues while maintaining the division filter? Does the SDK’s Pagination helper handle division scoping automatically, or do I need to manually loop through each division ID?
import { QueuesApi } from "@genesyscloud/purecloud-platform-client-v2";
const queuesApi = new QueuesApi();
// How to properly paginate across divisions?
const response = await queuesApi.getQueues({
divisionId: divisionId,
pageSize: 200
});
You should probably look at at the afterExpansion callback in the SDK’s listQueues method. It automatically handles pagination and merges results into a single array, preventing manual loop errors. Configure the expansion to include memberCounts if needed.
You need to ensure your pagination loop respects the SDK’s internal cursor handling while managing rate limits in Deno. The afterExpansion approach mentioned above is valid, but for Deno Deploy, I prefer explicit iteration to avoid memory spikes on large datasets. Use the PureCloudPlatformClientV2 instance to fetch pages sequentially.
Here is the JSON payload structure for a subsequent page request using the afterExpansion callback context:
In your Deno script, initialize the client with OAuth scopes queue:read and iam:read. Iterate through divisions, calling listQueues with pageSize: 200. Check res.pagination.total to determine if more pages exist. Accumulate results in an array. This avoids hitting the 200-item cap and keeps your edge function responsive. I use this pattern for my PagerDuty webhook triggers to ensure all queue metadata is captured before processing SLA breaches.