Genesys Analytics API paging object pageSize vs pageNumber confusion

NICE CXone API & Integrations
1

I’m trying to paginate through a large query result using the Analytics API, but the paging behavior is throwing me off. The docs mention pageSize, pageNumber, and pageCount, but I can’t quite figure out how they interact when I’m iterating through results programmatically.

I’m using Python with the requests library. Here’s my current loop:

page = 1
while True:
 params = {
 'pageSize': 50,
 'pageNumber': page
 }
 response = requests.get(url, params=params, headers=headers)
 data = response.json()
 print(f"Page {page}: {len(data['data'])} items")
 
 # Check if we should continue
 if page >= data['paging']['pageCount']:
 break
 page += 1

The issue is that pageCount seems to be calculated based on the initial query, but if the dataset changes slightly during execution, I might miss data or hit an error. Also, sometimes pageCount returns 1 even when there are clearly more than 50 items, forcing me to manually check if len(data['data']) < pageSize to break the loop.

Is this the recommended way to handle pagination? Or should I be relying on a different field in the response? My environment specs are:

  • Genesys Cloud API v2
  • Python 3.9
  • Europe/London timezone
  • Querying call recording stats

I’ve tried increasing pageSize to 200, but the problem persists. Any pointers on the most reliable way to loop through all pages without hitting 404s on non-existent pages?

2

The .NET SDK handles this differently than raw HTTP. You don’t loop manually with page numbers. You use the Paginated extension method.

var client = PlatformClientFactory.Create();
var result = await client.AnalyticsApi.GetAnalyticsConversationsDetailsQueryAsync(query, pageSize: 20);
await foreach (var item in result.Paginated()) { /* process */ }

It abstracts the cursor logic. The docs are sparse on this specific helper though.