Analytics API paging logic failing after first page — pageCount vs pageNumber confusion

Hey folks,

I’m trying to pull a full history of WEM adherence metrics for a specific team using the Analytics API. The goal is straightforward: iterate through all pages and aggregate the data into a single CSV for my weekly report. I’ve been using the Python SDK, but I keep hitting a wall where the loop terminates prematurely or throws an index error.

Here’s the basic structure I’m using:

from genesyscloud import analytics_api

analytics_client = analytics_api.AnalyticsApi(configuration)

params = {
 'query': 'from:interaction interval:1d dateFrom:2023-10-01T00:00:00.000Z dateTo:2023-10-31T23:59:59.999Z',
 'pageSize': 100,
 'pageNumber': 1
}

all_data = []
try:
 while True:
 response = analytics_client.post_analytics_conversations_details_query(**params)
 all_data.extend(response.entities)
 
 # This is where I get stuck
 if params['pageNumber'] >= response.pageCount:
 break
 
 params['pageNumber'] += 1
 
except Exception as e:
 print(f"Failed: {e}")

The first page comes back fine with pageCount: 5. The code increments pageNumber to 2 and fetches the next batch. But when it tries to fetch page 3, I sometimes get a 400 Bad Request saying the page number is out of range, even though pageCount clearly indicated there were more pages. Other times, the loop runs forever because response.pageCount seems to reset or change depending on the query load.

I’ve read the docs on paging, but they’re a bit vague on whether pageCount is static or dynamic. Should I be checking hasMore instead? Or is there a specific way to handle the offset in the query string? I don’t want to miss any adherence records, but I also don’t want my script hanging indefinitely.

Any examples of a solid paging loop in Python for this specific endpoint would be appreciated.

You’re likely hitting a classic pagination trap where pageNumber is 1-based but your loop logic assumes 0-based indexing, or worse, you’re using pageCount as a hard limit without checking if the last page is actually full. The Genesys Cloud Analytics API doesn’t guarantee every page has the same number of records, so hardcoding a loop based on pageCount often misses the tail end or crashes when the API returns fewer items than pageSize. Instead of trying to predict the total pages, just loop until the response body is empty. That’s how the SDK handles it under the hood anyway.

Here’s a cleaner Python approach using get_api_client to handle the paging automatically, which saves you from manually incrementing counters and parsing headers.

from genesyscloud import analytics_api

def get_wem_adherence(api_instance, query_params):
 all_data = []
 try:
 # The SDK method handles paging internally if you don't specify page_size
 # or if you use the iterator pattern correctly. 
 # However, for full control:
 page_number = 1
 while True:
 response = api_instance.post_analytics_wfm_adherence_data(
 body=query_params,
 page_number=page_number,
 page_size=1000 # Max allowed
 )
 
 if not response.body or not response.body.data:
 break
 
 all_data.extend(response.body.data)
 
 # Check if we got fewer items than requested - means we're on the last page
 if len(response.body.data) < 1000:
 break
 
 page_number += 1
 
 except Exception as e:
 print(f"Error fetching WEM data: {e}")
 
 return all_data

This avoids the pageNumber vs pageCount confusion entirely. Just make sure your query_params body includes the correct date_from and date_to range, otherwise you’ll get empty responses that break the loop early. Also, watch out for rate limits if you’re pulling months of data at once.