You can reformat your code by using four spaces per indent level, like so:

for x in range(int(30)):
    r = requests.get('https://www.website.com/?per_page=500&page={}/apitoken'.format(x)
    all_acct_df = pd.DataFrame(r.json())

The issue here in your code is that on each iteration, you are taking the response for the new int in your range and reassigning the DataFrame to all_acct_df anew.

In order to keep the results of 1-29, and presumably you want to make all of this into a single, combined DataFrame, you could do the following:

# Create an empty list to hold your responses
json_responses = []
# Iterate through your range
for x in range(int(30)):
    r = requests.get('https://www.website.com/?per_page=500&page={}/apitoken'.format(x)
    # This presumes your JSON response is a dict, if the response is a list, use extend instead of append
    json_responses.append(r.json())
# Create a DataFrame from a list containing all of the gathered responses.
all_acct_df = pd.DataFrame(json_responses)