Completed script for "Getting large datasets with the Zendesk API and Python" at https://support.zendesk.com/hc/en-us/articles/211713848

list_posts.py

import pickle
import time
import requests

credentials = 'your_zendesk_email', 'your_zendesk_password'
session = requests.Session()
session.auth = credentials
zendesk = 'your_zendesk_url'

topic_id = 123456
topic_posts = []
user_list = []
url = zendesk + '/api/v2/community/topics/' + str(topic_id) + '/posts.json?include=users'
while url:
    response = session.get(url)
    if response.status_code == 429:
        print('Rate limited! Please wait.')
        time.sleep(int(response.headers['retry-after']))
        continue
    if response.status_code != 200:
        print('Error with status code {}'.format(response.status_code))
        exit()
    data = response.json()
    topic_posts.extend(data['posts'])
    user_list.extend(data['users'])
    url = data['next_page']

topic_data = {'posts': topic_posts, 'users': user_list}
with open('my_serialized_data_file.p', mode='wb') as f:
    pickle.dump(topic_data, f)

with open('my_serialized_data_file.p', mode='rb') as f:
    topic = pickle.load(f)

for post in topic['posts']:
    author = 'anonymous'
    for user in topic['users']:
        if user['id'] == post['author_id']:
            author = user['name']
            break
    print('"{}" by {}'.format(post['title'], author))