Hey everyone.
I’m trying to pull a full history of adherence data from the Genesys Cloud Analytics API for our WEM reports. We need everything for the last 30 days, so I’m hitting /api/v2/analytics/wfm/schedules/details with a date range. The goal is to iterate through all pages until I have the complete dataset.
I’m using the standard paging object parameters: pageSize, pageNumber, and checking pageCount. My understanding is that if I set pageSize to 1000, the API should return up to 1000 records per request, and I can loop through pageNumber until I hit the pageCount returned in the response.
Here is the simplified Python loop I’ve written:
def fetch_adherence_data(start_date, end_date):
all_data = []
page_num = 1
max_pages = 1 # Initial placeholder
while page_num <= max_pages:
response = analytics_api.get_wfm_schedule_details(
start_date=start_date,
end_date=end_date,
page_size=1000,
page_number=page_num
)
# Extract data
all_data.extend(response.entities)
# Update page count for loop condition
max_pages = response.paging.page_count
page_num += 1
print(f"Fetched page {page_num - 1} of {max_pages}")
return all_data
The issue is that the loop stops after page 2, even though I know there are more than 2000 records in that date range. The response for page 2 returns a pageCount of 2. If I manually change the pageNumber in Postman to 3, I still get data back, but the API keeps telling me pageCount is 2.
Is pageCount static for the entire query, or does it change? I feel like I’m missing something about how the paging object works here. The docs mention pageSize can be up to 1000, but maybe there’s a hard cap on total records returned per request that I’m hitting without realizing it. Any ideas on how to structure this loop correctly so I don’t miss data?