How do I correctly to implement server-side pagination for the /api/v2/analytics/conversations/summary/queries endpoint using the Python SDK?
I am building a data pipeline to sync conversation metrics with Salesforce. The documentation mentions pageSize, pageNumber, and pageCount, but the behavior is inconsistent when pageCount exceeds the initial response.
Here are the steps to reproduce the issue:
Initialize the client with genesyscloud.analytics_api.AnalyticsApi().
Construct a query body with pageSize set to 100 and pageNumber set to 1.
Execute the request using post_analytics_conversations_summary_queries().
Check the response header for X-Page-Count.
Iterate through pages by incrementing pageNumber until it equals pageCount.
The problem is that after the first page, subsequent requests return empty entities arrays even though pageCount indicates more data exists. I am currently using this logic:
page = 1
max_pages = response.headers.get('X-Page-Count', 1)
while page <= int(max_pages):
query['pageNumber'] = page
response = analytics_api.post_analytics_conversations_summary_queries(body=query)
if not response.entities:
break
process_data(response.entities)
page += 1
Is there a specific header or parameter I am missing to ensure the server respects the pageNumber increment? The Retry-After headers are not present, so rate limiting is not the issue.
Make sure you validate the response payload before incrementing the page counter. Relying on pageCount causes infinite loops when the API returns stale metadata.
while resp.entities:
yield from resp.entities
resp = client.analytics.get_analytics_conversations_summary_queries(..., page=page)
page += 1
Stop on empty entities, not the header count. I hit this rate-limiting trap during k6 load tests. The pageCount field is often inaccurate in batched analytics responses.
It’s worth reviewing at the underlying HTTP response headers rather than trusting the pageCount property in the JSON body, as that metadata can indeed become stale during high-throughput aggregation queries. The suggestion above regarding breaking on empty entities is a solid defensive pattern, but it lacks the explicit handling of the x-page-count header which is the source of truth for Genesys Cloud’s pagination state.
In my Next.js server components, I avoid the SDK’s abstraction for this specific endpoint because the Python SDK (and JS equivalent) sometimes normalizes the response in a way that drops the raw headers needed for precise loop control. Instead, I issue a direct REST call to /api/v2/analytics/conversations/summary/queries. This allows me to inspect the x-page-count header directly. If the header indicates more pages exist but the entities array is empty, I introduce a small exponential backoff. This prevents hitting the rate limits that As noted above.
Here is how I structure the request in a server-side context. Note the use of the Bearer token from the session and the explicit check of the header:
// Inside a Next.js Server Component or Route Handler
const headers = await getGenesysHeaders(); // Your auth helper
const response = await fetch(
`https://api.mypurecloud.com/api/v2/analytics/conversations/summary/queries?dateFrom=${start}&dateTo=${end}&page=1&pageSize=250`,
{
headers: {
Authorization: `Bearer ${headers.accessToken}`,
'Content-Type': 'application/json',
},
}
);
const pageCount = response.headers.get('x-page-count');
const data = await response.json();
// Always trust the header over the body for loop bounds
if (parseInt(pageCount || '0') > 1) {
// Continue fetching subsequent pages
}
Relying solely on len(entities) == 0 is risky if the API returns an empty page due to a transient filter mismatch rather than actual completion. Checking the header first ensures you stop exactly when the platform indicates the dataset is exhausted.
Make sure you validate the response payload before incrementing the page counter. Relying on pageCount causes infinite loops when the API returns stale metadata.
The issue stems from the asynchronous nature of the analytics aggregation engine. The pageCount in the initial response is an estimate, not a guarantee. When you exceed the estimated pages, the API may return an empty entities array but keep the metadata consistent with the initial estimate, leading to redundant requests.
The suggestion above regarding breaking on empty entities is a solid defensive pattern. However, you must also handle the x-page-count header explicitly, as it is the source of truth for Genesys Cloud’s pagination state. In my Rust WebSocket client, I use tokio to stream these events and rely on the absence of data rather than the header count to terminate the loop.
Here is the corrected request payload structure to ensure consistent behavior: