---
title: "Update Scheduled Task"
api: "PUT /api/v1/scheduled-task/{task_id}"
description: "Updates a scheduled task with partial updates"
---
Updates a scheduled task with partial updates. You can update any combination of the task configuration fields without affecting the others.
## Path Parameters
<ParamField path="task_id" type="string" required>
ID of the scheduled task to update
</ParamField>
## Request Body
<ParamField body="task" type="string">
Instructions for what the agent should do
</ParamField>
<ParamField body="schedule_type" type="string">
Type of schedule: "interval" or "cron"
</ParamField>
<ParamField body="interval_minutes" type="integer">
Minutes between runs (required if schedule_type is "interval")
</ParamField>
<ParamField body="cron_expression" type="string">
Cron expression for scheduling (required if schedule_type is "cron")
</ParamField>
<ParamField body="start_at" type="string">
When to start the schedule (ISO 8601 format)
</ParamField>
<ParamField body="end_at" type="string">
When to end the schedule (ISO 8601 format)
</ParamField>
<ParamField body="is_active" type="boolean">
Whether the scheduled task is active
</ParamField>
<ParamField body="use_adblock" type="boolean">
Whether to use an adblocker
</ParamField>
<ParamField body="use_proxy" type="boolean">
Whether to use a proxy
</ParamField>
<ParamField body="highlight_elements" type="boolean">
Whether to highlight elements on the page
</ParamField>
<ParamField body="llm_model" type="string">
LLM model to use. Available options: gpt-4o, gpt-4o-mini, gpt-4.1, gpt-4.1-mini, o4-mini, o3, gemini-2.0-flash, gemini-2.0-flash-lite, gemini-2.5-flash-preview-04-17, gemini-2.5-flash, gemini-2.5-pro, claude-3-7-sonnet-20250219, claude-sonnet-4-20250514, llama-4-maverick-17b-128e-instruct
</ParamField>
<ParamField body="save_browser_data" type="boolean">
Whether to save browser cookies and data between runs
</ParamField>
<ParamField body="structured_output_json" type="string">
JSON schema for structured output
</ParamField>
<ParamField body="metadata" type="object">
Optional dictionary of string key-value pairs for custom tagging. Max 10 pairs. Keys: strings (max 100 chars, non-empty). Values: strings (max 1000 chars).
</ParamField>
## Response
Returns the updated scheduled task object with the same format as the Get Scheduled Task response.
<ResponseField name="id" type="string">
The unique identifier for the scheduled task
</ResponseField>
<ResponseField name="task" type="string">
Instructions for what the agent should do
</ResponseField>
<ResponseField name="save_browser_data" type="boolean">
Whether to save browser cookies and data
</ResponseField>
<ResponseField name="structured_output_json" type="string">
JSON schema for structured output
</ResponseField>
<ResponseField name="llm_model" type="string">
LLM model to use
</ResponseField>
<ResponseField name="use_adblock" type="boolean">
Whether to use an adblocker
</ResponseField>
<ResponseField name="use_proxy" type="boolean">
Whether to use a proxy
</ResponseField>
<ResponseField name="highlight_elements" type="boolean">
Whether to highlight elements on the page
</ResponseField>
<ResponseField name="schedule_type" type="string">
Type of schedule: "interval" or "cron"
</ResponseField>
<ResponseField name="interval_minutes" type="integer">
Minutes between runs
</ResponseField>
<ResponseField name="cron_expression" type="string">
Cron expression for scheduling
</ResponseField>
<ResponseField name="start_at" type="string">
When to start the schedule
</ResponseField>
<ResponseField name="next_run_at" type="string">
When the next run is scheduled
</ResponseField>
<ResponseField name="end_at" type="string">
When to end the schedule
</ResponseField>
<ResponseField name="is_active" type="boolean">
Whether the scheduled task is active
</ResponseField>
<ResponseField name="created_at" type="string">
When the scheduled task was created
</ResponseField>
<ResponseField name="updated_at" type="string">
When the scheduled task was last updated
</ResponseField>
<ResponseField name="metadata" type="object | null">
Custom metadata key-value pairs associated with the scheduled task
</ResponseField>
<RequestExample>
```python python
import requests
url = "https://api.browser-use.com/api/v1/scheduled-task/{task_id}"
headers = {"Authorization": "Bearer <token>"}
payload = {
"task": "Updated task description",
"is_active": False,
"metadata": {
"campaign": "q4-automation",
"team": "marketing"
}
}
response = requests.request("PUT", url, headers=headers, json=payload)
print(response.text)
```
```bash curl
curl --request PUT \
--url https://api.browser-use.com/api/v1/scheduled-task/{task_id} \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task": "Updated task description",
"is_active": false,
"metadata": {
"campaign": "q4-automation",
"team": "marketing"
}
}'
```
</RequestExample>
<ResponseExample>
```json 200
{
"id": "scheduled_task_1234567890abcdef",
"task": "Updated task description",
"save_browser_data": false,
"structured_output_json": null,
"llm_model": "gpt-4o",
"use_adblock": true,
"use_proxy": true,
"highlight_elements": true,
"schedule_type": "interval",
"interval_minutes": 60,
"cron_expression": null,
"start_at": "2023-01-01T00:00:00Z",
"next_run_at": "2023-01-01T01:00:00Z",
"end_at": "2023-12-31T23:59:59Z",
"is_active": false,
"created_at": "2023-01-01T00:00:00Z",
"updated_at": "2023-01-01T00:30:00Z",
"metadata": {
"campaign": "q4-automation",
"team": "marketing"
}
}
```
</ResponseExample>
