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GET
/
public
/
workflows
/
{workflow_id}
/
executions
/
{execution_id}
import requests

response = requests.get(
    'https://api.usedari.com/public/workflows/wf_123456789/executions/exec_abc123def456',
    headers={
        'X-API-Key': 'YOUR_API_KEY'
    }
)

execution = response.json()
print(f"Status: {execution['status']}")
print(f"Variables: {execution['variables']}")
if execution['error']:
    print(f"Error: {execution['error']}")

{
  "execution_id": "exec_abc123def456",
  "workflow_id": "wf_123456789",
  "workflow_name": "My First Workflow",
  "status": "completed",
  "variables": {
    "variable_1": "user@example.com",
    "variable_2": "Extracted data value",
    "variable_3": [],
    "variable_4": true,
    "variable_5": ""
  },
  "current_step_instance_id": null,
  "step_name": null,
  "video_recording_url": "https://hyperbrowser-assets.s3.us-west-2.amazonaws.com/recordings/session_abc123/recording.mp4?X-Amz-Algorithm=...",
  "public_live_view_enabled": false,
  "created_at": "2025-01-15T14:30:00.123456+00:00",
  "completed_at": "2025-01-15T14:32:15.789012+00:00",
  "error": null,
  "logs": []
}
This endpoint provides comprehensive details about a workflow execution, including current status, variables, logs, and video recording URL. Use this to monitor execution progress, retrieve output variables, and debug failed workflows.

​
Path Parameters

​
workflow_id
string
required
The unique identifier of the parent workflow
​
execution_id
string
required
The unique identifier of the execution

​
Headers

​
X-API-Key
string
required
Your API key for authentication

​
Response Fields

​
execution_id
string
The unique identifier of the execution
​
workflow_id
string
The ID of the parent workflow
​
workflow_name
string
The name of the workflow
​
status
string
The current status: "completed", "failed", or "running"
​
variables
object
Key-value pairs of all workflow variables and their current values. Variable names are keys (e.g., variable_1, variable_2), values can be strings, booleans, arrays, or objects.
​
current_step_instance_id
string
The ID of the currently executing step (null if completed or failed)
​
step_name
string
The name of the current step (always null in current implementation)
​
video_recording_url
string
URL to the video recording of the browser session (null if not available)
​
public_live_view_enabled
boolean
Whether public live view is enabled for this execution
​
created_at
string
ISO 8601 timestamp when the execution was created
​
completed_at
string
ISO 8601 timestamp when the execution completed (null if still running or failed).
​
error
string
Error message if the execution failed (null if successful or running)
​
logs
array
Array of log entries from the execution. May be empty ([]) for executions without logged steps.
​
id
string
Unique identifier for the log entry
​
workflow_execution_id
string
The ID of the parent workflow execution
​
workflow_step_instance_id
string
The ID of the step that generated this log
​
attempt_number
integer
The attempt number for this step (steps may retry on failure)
​
success
boolean
Whether the step attempt succeeded
​
message
string
The log message, prefixed with step name in brackets (e.g., “[Browser Go to URL] Successful!”)
​
created_at
string
ISO 8601 timestamp when the log entry was created
import requests

response = requests.get(
    'https://api.usedari.com/public/workflows/wf_123456789/executions/exec_abc123def456',
    headers={
        'X-API-Key': 'YOUR_API_KEY'
    }
)

execution = response.json()
print(f"Status: {execution['status']}")
print(f"Variables: {execution['variables']}")
if execution['error']:
    print(f"Error: {execution['error']}")

{
  "execution_id": "exec_abc123def456",
  "workflow_id": "wf_123456789",
  "workflow_name": "My First Workflow",
  "status": "completed",
  "variables": {
    "variable_1": "user@example.com",
    "variable_2": "Extracted data value",
    "variable_3": [],
    "variable_4": true,
    "variable_5": ""
  },
  "current_step_instance_id": null,
  "step_name": null,
  "video_recording_url": "https://hyperbrowser-assets.s3.us-west-2.amazonaws.com/recordings/session_abc123/recording.mp4?X-Amz-Algorithm=...",
  "public_live_view_enabled": false,
  "created_at": "2025-01-15T14:30:00.123456+00:00",
  "completed_at": "2025-01-15T14:32:15.789012+00:00",
  "error": null,
  "logs": []
}

{
  "execution_id": "exec_fail789xyz012",
  "workflow_id": "wf_123456789",
  "workflow_name": "My First Workflow",
  "status": "failed",
  "variables": {
    "variable_1": "user@example.com",
    "variable_2": [],
    "variable_3": true
  },
  "current_step_instance_id": "step_456def789ghi",
  "step_name": null,
  "video_recording_url": "https://hyperbrowser-assets.s3.us-west-2.amazonaws.com/recordings/session_fail123/recording.mp4?X-Amz-Algorithm=...",
  "public_live_view_enabled": false,
  "created_at": "2025-01-15T16:00:00.123456+00:00",
  "completed_at": null,
  "error": "Workflow Cancelled",
  "logs": [
    {
      "id": "log_987654321abc",
      "workflow_execution_id": "exec_fail789xyz012",
      "workflow_step_instance_id": "step_456def789ghi",
      "attempt_number": 1,
      "success": true,
      "message": "[Browser Go to URL] Successful!",
      "created_at": "2025-01-15T16:02:00.427488"
    }
  ]
}

​
Usage Notes

  • API Key: Get your API key from the Dari dashboard
  • Workspace Access: You can access executions in your workflow’s workspace, including those created by other workspace members
  • Variables: Output variables are populated as steps complete. Variable names follow the pattern variable_1, variable_2, etc. Values can be strings, booleans, arrays, or objects.
  • Logs: Logs array may be empty ([]) for some executions. When present, logs are ordered chronologically and include both successful and failed step attempts.
  • Polling: For running executions, poll this endpoint periodically to check status updates

​
Error Responses

{
  "detail": "Invalid API key"
}

{
  "detail": "User {user_id} is not a member of workflow's workspace"
}

{
  "detail": "Workflow execution not found"
}

{
  "detail": "Error getting workflow execution details: {error_message}"
}