There are several interesting fields in the documentation for ckanext.datastore.logic.action.datastore_search(), but the ones that pop out are limit and offset.
limit seems to have an absolute maximum of 32000 so depending on the amount of data you might still hit this limit.
offset seems to be the way to go. You keep calling the API with the offset increasing by a set amount until you have all the data. See the code below.
But, actually calling the API revealed something interesting. It generates a next URL which you can call, it automagically updates the offset based on the limit used (and maintaining the limit set on the initial call).
You can call this URL to get the next batch of results.
Some testing showed that it will go past the maximum though, so you need to check if the returned records are lower than the limit you use.
import requests
BASE_URL = "https://data.gov.au/data"
INITIAL_URL = "/api/3/action/datastore_search?resource_id=d54f7465-74b8-4fff-8653-37e724d0ebbb"
LIMIT = 10000
def get_all() -> list:
result = []
resp = requests.get(f"{BASE_URL}{INITIAL_URL}&limit={LIMIT}")
js = resp.json()["result"]
result.extend(js["records"])
while "_links" in js and "next" in js["_links"]:
resp = requests.get(BASE_URL + js["_links"]["next"])
js = resp.json()["result"]
result.extend(js["records"])
print(js["_links"]["next"]) # just so you know it's actually doing stuff
if len(js["records"]) < LIMIT:
# if it returned less records than the limit, the end has been reached
break
return result
print(len(get_all()))
Note, when exploring an API, it helps to check what exactly is returned. I used the simple code below to check what was returned, which made exploring the API a lot easier. Also, reading the docs helps, like the one I linked above.
from pprint import pprint
pprint(requests.get(BASE_URL+INITIAL_URL+"&limit=1").json()["result"])