Hello,

I have the following code, but can't seem to figure out why I can't export all my optout customers.
# List Contacts in Mailing List

import time
from datetime import date

import null as null
import pandas as pd
import requests

# Setting user Parameters
from pandas.io import json

rm = []
today = date.today()
filename = f"contactsDowloaded_{today}"
apiToken = ""
dataCenter = ""

directoryId = ""

nextPage = "https://{0}.qualtrics.com/API/v3/directories/{1}/contacts/optedOutContacts".format(dataCenter, directoryId)
headers = {
  "x-api-token": apiToken,
}

count = 0
while nextPage is not None:
  time.sleep(.1)
  if count % 25 == 0:
    print(count)
  time.sleep(.5)
  response = requests.get(nextPage, headers=headers)
  time.sleep(.1)
  json_data = json.loads(response.text)
  time.sleep(.1)
  nextPage = json_data�'result'] 'nextPage']
  time.sleep(.1)
  df = pd.DataFrame(response.json().'result']('elements'])
  time.sleep(.1)
  if 'email' not in df.columns:
    print(count, df.columns)
  else:
    df_list = list(dfr'email'])
    rm += df_list
  count += 1
  time.sleep(.2)



pd.DataFrame({'email': rm}).to_csv(f'FILE_PATH_LOCATION\\\\{filename}.csv', index=False)



I can pull about 40K contacts but need to get close to 200K?


Not sure if this has been answer already but wanted to get some insight on how others might be exporting this data.