pydo.autoscalepools.list_history()
Generated on 9 Jun 2026
from pydo version
v0.36.0
Usage
client.autoscalepools.list_history(
per_page=20,
page=1,
autoscale_pool_id="0d3db13e-a604-4944-9827-7ec2642d32ac",
)Description
To list all of the scaling history events of an autoscale pool, send a GET request to /v2/droplets/autoscale/{autoscale_pool_id}/history.
The response body will be a JSON object with a key of history. This will be
set to an array containing objects each representing a history event.
Parameters
per_pageinteger optionalNumber of items returned per page
pageinteger optionalWhich 'page' of paginated results to return.
autoscale_pool_idstring requiredA unique identifier for an autoscale pool.
Pagination
This method returns paginated results. The response includes a
links.pages object with URLs for navigating between pages. To
retrieve the next page, parse the next URL and pass the page
parameter:
from urllib.parse import urlparse, parse_qs
resp = client.autoscalepools.list_history(autoscale_pool_id="0d3db13e-a604-4944-9827-7ec2642d32ac", )
pages = resp.get("links", {}).get("pages", {})
while "next" in pages:
parsed = urlparse(pages["next"])
page = int(parse_qs(parsed.query)["page"][0])
resp = client.autoscalepools.list_history(autoscale_pool_id="0d3db13e-a604-4944-9827-7ec2642d32ac", page=page)
pages = resp.get("links", {}).get("pages", {})Response Example
More Information
See /v2/droplets/autoscale/{autoscale_pool_id}/history in the API reference for additional detail on responses, headers, parameters, and more.