How to save API data into CSV format?
On the page you linked there is actually a Python example on how to get the data. It is in Python 2, but I will show you how to make it work in Python 3.

import urllib
import json                 # Used to load data into JSON format
from pprint import pprint   # pretty-print

url = "https://data.sa.gov.au/data/api/3/action/datastore_search?resource_id=fec742c1-c846-4343-a9f1-91c729acd097&amp;limit=5&amp;q=title:jones"
response = urllib.request.urlopen(url)
print(response)
# Just an object:   &lt;http.client.HTTPResponse at 0x7f2618123e10&gt;


We get the text data out by using the read() method:

text = response.read()


The response in this case is a raw string. We can use the json module's function loads to load a string):

json_data = json.loads(text)

pprint(json_data)


returns the following JSON data:

{'help': 'https://data.sa.gov.au/data/api/3/action/help_show?name=datastore_search',
 'result': {'_links': {'next': '/api/3/action/datastore_search?q=title%3Ajones&amp;offset=5&amp;limit=5&amp;resource_id=fec742c1-c846-4343-a9f1-91c729acd097',
                       'start': '/api/3/action/datastore_search?q=title%3Ajones&amp;limit=5&amp;resource_id=fec742c1-c846-4343-a9f1-91c729acd097'},
            'fields': [{'id': '_id', 'type': 'int4'},
                       {'id': 'LGA Name', 'type': 'text'},
                       {'id': 'Tenure type', 'type': 'text'},
                       {'id': 'Very low income &lt;$603 per wk', 'type': 'numeric'},
                       {'id': 'Low income $603-$964 per wk', 'type': 'numeric'},
                       {'id': 'Moderate income $965-$1446 per wk',                            'type': 'numeric'},
                       {'id': 'Total', 'type': 'numeric'},
                       {'id': '_full_count', 'type': 'int8'},
                       {'id': 'rank', 'type': 'float4'}],
            'limit': 5,
            'q': 'title:jones',
            'records': [],
            'resource_id': 'fec742c1-c846-4343-a9f1-91c729acd097'},
 'success': True}


I would suggest using Pandas, which can do a lot of the tedious work for you very easily. It can read straight from a JSON string (our text above). The issue is that is will parse it a little strangely.

There is no simple way to write this directly to a CSV file, because there are nested structures: e.g. under "result" there "fields" and then more values, and CSV files can't display that directly. You need to essentially flatten the structure yourself, perhaps decide what is important or what you want to can leave out.

You could take the JSON formatted json_data above and unpack it manually, removing nested parts, which means looking through the response and making your own Python dictionary with only single level i.e. no nesting. Let's say you do that and have a new flattened dictionary named r. Once you have done that, you can do the following using Pandas to write the CSV file:

import pandas as pd

df = pd.read_json(r)
df.to_csv("output.csv")