> For the complete documentation index, see [llms.txt](https://docs.pline.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pline.ai/features/scheduled-data-extraction.md).

# Scheduled Data Extraction

The Scheduling Workflows feature in Pline automates data extraction, ensuring consistent, accurate, and timely collection, eliminating the need for manual intervention. 

With this feature, users can schedule data extraction workflows in advance, ensuring tasks are executed seamlessly and without delays.

**Key Benefits of Scheduling Workflows**

* **Enhanced efficiency**:  Automates repetitive tasks, saving time and reducing manual workload.
* **Consistency and accuracy**: Ensures regular data extraction, minimizing missed opportunities or outdated information.
* **Custom frequency options**: Allows you to set hourly, daily, weekly, or monthly schedules to match your specific needs.
* **Resource optimization**: Enables tasks to run during off-peak hours, maximizing resource utilization and system performance.

The following page provides a step-by-step guide to setting up and managing scheduled workflows.

Learn how to configure new schedules, adjust settings for your needs, and ensure consistent, reliable results every time.