---
schema_version: "1"
id: ab3b7bd02709d3ad9b431142b188c4782ff85bec52d2771c70ad2dab489e620d
title: Schedule Tasks
collection: developer
version: current
locale: en-us
portal_url: https://docs.salesforce.com/developer/current/en-us/dataloader/dataloader-help/guides/schedule-tasks.md
canonical_url: https://developer.salesforce.com/docs/platform/dataloader/guide/schedule-tasks.html
source_site: developer.salesforce.com
content_type: documentation
content_hash: 18f7ca8cd68d1d6f6d89670b20343036df1781f1a06eb16b0286181f7a5dd7a9
products:
  - Dataloader from MuleSoft
---
# Schedule Tasks

Schedule import and export tasks in Dataloader from MuleSoft to run at a set time or on a repeating cadence, for example, an [export task](https://developer.salesforce.com/docs/platform/dataloader/guide/export-data.md) every Friday at 9:00 AM in your time zone.

You configure scheduling on the last step of the task wizard. The options you see depend on your [Dataloader.io plan](https://dataloader.io/pricing).

## Create or Open a Scheduled Task

Create an [import task](https://developer.salesforce.com/docs/platform/dataloader/guide/import-data.md) or [export task](https://developer.salesforce.com/docs/platform/dataloader/guide/export-data.md) as usual.

![Task wizard Run step with Schedule section expanded](https://developer.salesforce.com/docs/media/schedule-tasks-step-1.png '{"class": "image-framed image-sm"}')

## Open Schedule Options

On the last step of the wizard, use **Schedule** to choose Daily, Weekly, Monthly, or Hourly (when your plan allows).

![Schedule section showing Daily, Weekly, Monthly, and Hourly frequency options.](https://developer.salesforce.com/docs/media/schedule-tasks-step-2.png '{"class": "image-framed image-md"}')

### Daily

Set the task to run every day at a specific time.

### Weekly

If you have [Dataloader.io Professional or Enterprise edition](https://dataloader.io/pricing), set the task to run every week on selected days at a specific time.

### Monthly

If you have [Dataloader.io Professional or Enterprise edition](https://dataloader.io/pricing), schedule the task to run monthly, on a calendar day or on a weekday within the month.

### Hourly

If you have [Dataloader.io Professional or Enterprise edition](https://dataloader.io/pricing), run the task once every hour. Choose the minute within each hour when it runs.

### Start and Finish Dates

For every schedule type, set a start date and an end date if you need one. If you don’t set an end date, the task keeps running. To clear an end date, click the delete icon for that field.

**tip:** **Time zone:** Set your default time zone on the **Settings** page. See [User Menu and Settings](https://developer.salesforce.com/docs/platform/dataloader/guide/user-menu-settings.md).

When using the included edition of Dataloader from MuleSoft, you can have only one scheduled task at a time. [Dataloader.io Professional and Enterprise editions](https://dataloader.io/pricing) allow up to 30 scheduled tasks and support hourly, monthly, and weekly schedules.

Scheduled tasks stay active until you change or remove them.

For import scheduling, the source file requires the same name and folder path each time. Dataloader overwrites the file in place for processing and doesn't support wildcards.

For exports to an external location, you can add a timestamp to the file name. Use the path or file name checkbox on the last step of the task wizard.

## See Also

- [Importing Data into Salesforce](https://developer.salesforce.com/docs/platform/dataloader/guide/import-data.md)
- [Export Data from Salesforce](https://developer.salesforce.com/docs/platform/dataloader/guide/export-data.md)
- [Managing Tasks](https://developer.salesforce.com/docs/platform/dataloader/guide/manage-tasks.md)
- [User Menu and Settings](https://developer.salesforce.com/docs/platform/dataloader/guide/user-menu-settings.md)
- [_Salesforce Developers_: Introduction to Bulk API 2.0 and Bulk API](https://developer.salesforce.com/docs/atlas.en-us.api_asynch.meta/api_asynch/asynch_api_intro.htm)
