Run from Code

Run tasks programmatically using the Python SDK, TypeScript SDK, or REST API.

Run a task

A task has one required parameter and one commonly used optional parameter:

prompt (required): Natural language instructions describing what the AI should do
url (optional): The starting page for the automation

When you call run_task, Skyvern spins up a cloud browser, navigates to the URL, and executes your prompt. A typical task takes 30-90 seconds depending on complexity.

import os
import asyncio
from skyvern import Skyvern

async def main():
    client = Skyvern(api_key=os.getenv("SKYVERN_API_KEY"))

    result = await client.run_task(
        prompt="Get the title of the top post",
        url="https://news.ycombinator.com",
    )

    print(f"Run ID: {result.run_id}")
    print(f"Status: {result.status}")

asyncio.run(main())

Example response:

{
  "run_id": "tsk_v2_486305187432193504",
  "status": "queued",
  "output": null,
  "downloaded_files": null,
  "recording_url": null,
  "screenshot_urls": null,
  "failure_reason": null,
  "created_at": "2026-01-20T11:52:29.276851",
  "modified_at": "2026-01-20T11:52:29.484284",
  "app_url": "https://app.skyvern.com/runs/wr_486305187432193510",
  "run_type": "task_v2"
}

The response includes a run_id. Use this ID to check status, fetch results, and retrieve artifacts.

run_task returns immediately — the task is queued, not finished. Always poll or use webhooks to get results.

Get results

The run_task call queues the task and returns immediately. Use the run_id to fetch results once the task reaches a terminal state.

Status	Description
`created`	Task initialized, not yet queued
`queued`	Waiting for an available browser
`running`	AI is navigating and executing
`completed`	Task finished successfully — check `output` for results
`failed`	Task encountered an error — check `failure_reason` and retry or adjust your prompt
`terminated`	Task was manually stopped
`timed_out`	Task exceeded time limit — increase `max_steps` or simplify the task
`canceled`	Task was canceled before starting

You have three options for retrieving results:

Option 1: Polling

Poll get_run until status is terminal (completed, failed, terminated, timed_out, or canceled).

run_id = result.run_id

while True:
    run = await client.get_run(run_id)

    if run.status in ["completed", "failed", "terminated", "timed_out", "canceled"]:
        break

    await asyncio.sleep(5)

print(f"Output: {run.output}")

Your polling loop must check all terminal states: completed, failed, terminated, timed_out, canceled. Missing one causes infinite loops.

Option 2: Webhooks

Pass a webhook_url when creating the task. Skyvern sends a POST request to your URL when the task completes.

result = await client.run_task(
    prompt="Get the title of the top post",
    url="https://news.ycombinator.com",
    webhook_url="https://your-server.com/webhook",
)

Skyvern sends a POST request with the full run data when the task completes or fails.

Option 3: Wait for completion (Python only)

Block until the task finishes instead of polling manually.

Python

result = await client.run_task(
    prompt="Get the title of the top post",
    url="https://news.ycombinator.com",
    wait_for_completion=True,
)
print(result.output)

Understand the response

The response from polling (get_run) and webhooks have slightly different structures. Both contain the core task data, but webhooks include additional metadata.

{
  "run_id": "tsk_v2_486305187432193504",
  "status": "completed",
  "output": {
    "top_post_title": "Linux kernel framework for PCIe device emulation, in userspace"
  },
  "downloaded_files": [],
  "recording_url": "https://skyvern-artifacts.s3.amazonaws.com/v1/production/.../recording.webm?...",
  "screenshot_urls": ["https://skyvern-artifacts.s3.amazonaws.com/.../screenshot_final.png?..."],
  "failure_reason": null,
  "errors": [],
  "step_count": 2,
  "run_type": "task_v2",
  "app_url": "https://app.skyvern.com/runs/wr_486305187432193510",
  "browser_session_id": null,
  "browser_profile_id": null,
  "created_at": "2026-01-20T11:52:29.276851",
  "modified_at": "2026-01-20T11:54:08.822807",
  "queued_at": "2026-01-20T11:52:29.483922",
  "started_at": "2026-01-20T11:52:31.835337",
  "finished_at": "2026-01-20T11:54:08.821985",
  "run_request": {
    "prompt": "Get the title of the top post",
    "url": "https://news.ycombinator.com/",
    "engine": "skyvern-2.0"
  }
}

Common fields (both polling and webhook):

Field	Type	Description
`run_id`	string	Unique identifier for this run
`status`	string	Current status: `queued`, `running`, `completed`, `failed`, `terminated`, `timed_out`, `canceled`
`output`	object \| null	Extracted data from the task
`downloaded_files`	array	Files downloaded during execution
`recording_url`	string \| null	Video recording of the browser session
`screenshot_urls`	array \| null	Screenshots captured (latest first)
`failure_reason`	string \| null	Error message if the run failed
`errors`	array	List of errors encountered
`step_count`	integer \| null	Number of steps executed
`run_type`	string	Type of run: `task_v2`, `openai_cua`, `anthropic_cua`
`app_url`	string	Link to view this run in Skyvern Cloud
`created_at`	datetime	When the run was created
`modified_at`	datetime	When the run was last updated
`queued_at`	datetime \| null	When the run entered the queue
`started_at`	datetime \| null	When execution began
`finished_at`	datetime \| null	When execution completed

Polling-only fields:

Field	Type	Description
`run_request`	object	Original request parameters (prompt, url, engine, etc.)
`browser_session_id`	string \| null	ID of the browser session used
`browser_profile_id`	string \| null	ID of the browser profile used
`max_screenshot_scrolls`	integer \| null	Number of scrolls for screenshots
`script_run`	object \| null	Script run result if AI fallback triggered

Webhook-only fields:

Field	Type	Description
`task_id`	string	Same as `run_id`
`summary`	string	AI-generated description of what was done
`prompt`	string	The prompt from the original request
`url`	string	The URL from the original request
`organization_id`	string	Your organization ID
`workflow_run_id`	string	Associated workflow run ID
`proxy_location`	string	Proxy location used (e.g., `RESIDENTIAL`)
`webhook_callback_url`	string	The webhook URL that received this payload

Artifacts

Every run captures recordings, screenshots, and logs. See Using Artifacts for retrieval and the full artifact type reference.

For multi-step automations that chain multiple actions, see Browser Automation.

Getting Started

Running Tasks

Building Workflows

Re-using Browsers

Viewing Results

Managing Credentials

Account & Settings

Integrations

Run a task

Get results

Option 1: Polling

Option 2: Webhooks

Option 3: Wait for completion (Python only)

Understand the response

Artifacts

Getting Started

Running Tasks

Building Workflows

Re-using Browsers

Viewing Results

Managing Credentials

Account & Settings

Integrations

​Run a task

​Get results

​Option 1: Polling

​Option 2: Webhooks

​Option 3: Wait for completion (Python only)

​Understand the response

​Artifacts

Run a task

Get results

Option 1: Polling

Option 2: Webhooks

Option 3: Wait for completion (Python only)

Understand the response

Artifacts