How to Use ClickUp Task Filters via the API

The ClickUp public API lets you search and filter tasks with precision so you can build powerful reports, dashboards, and integrations. This guide walks you step by step through the official /taskFilter endpoint so you can combine fields, dates, and sorting to retrieve exactly the tasks you need.

All instructions here are based on the official task filters documentation from the ClickUp developer site and focus on practical, implementation-ready examples.

Understanding the ClickUp Task Filter Endpoint

The task filter endpoint lets you retrieve tasks that match conditions you define in a JSON body. You can:

• Filter by standard fields like status, assignees, or tags.
• Filter by custom fields using their IDs.
• Search by text in task titles or descriptions.
• Sort by various columns such as due date or creation time.

The base endpoint is typically available under your workspace API URL, with a route dedicated to task filtering. You send a POST request that includes a JSON filter definition in the request body and standard authorization headers.

Preparing to Call ClickUp Task Filters

Before you send a request, make sure you have:

• An API token with access to the workspace, space, or folder you want to query.
• The correct team or workspace ID.
• Any required list, folder, or space IDs if you plan to scope your filter.
• Custom field IDs if you plan to filter on custom attributes.

In most cases, you will also want to know which statuses, assignees, or tags you intend to include so you can construct clear, efficient filters.

Basic ClickUp Task Filter Request Structure

The request to the task filter endpoint uses standard REST conventions. A typical structure includes:

1. HTTP method: POST.
2. Headers:
   • Authorization: your API token.
   • Content-Type: application/json.
3. Body: a JSON object that defines filters, search options, and sorting.

The core sections of the body include:

• filters: A list of conditions that must match.
• search: A text search query and related settings.
• sort: One or more sort criteria.
• limit and page: For pagination.

Defining Field Filters in ClickUp

Field filters let you match tasks based on specific task properties. The documentation shows that you typically provide an array of filter objects, each describing:

• The field to filter.
• The operator (for example, equals, not equals, greater than).
• The value or values to compare.

Common field filters include:

• Status or workflow stage.
• Assignees or watchers.
• Priority levels.
• Tags attached to tasks.
• List, folder, or space location.

You can combine several of these in a single request so long as you keep the structure consistent with the official ClickUp filter format.

Using ClickUp Custom Field Filters

When working with custom fields, you reference the custom field ID, not the visible name in the user interface. The documentation indicates that you include the custom field identifier as part of the filter definition and then supply an operator and value.

Example scenarios include:

• Filtering by a numeric custom field greater than a threshold.
• Filtering by a dropdown custom field with one or more selected options.
• Filtering by a date-type custom field before or after a given timestamp.

Always verify that the operator you choose is compatible with the data type of the custom field. For instance, greater-than comparisons work on numeric and date fields but not on plain text.

Applying Date and Time Filters in ClickUp

The task filter endpoint allows you to work with task dates like:

• Start date.
• Due date.
• Creation date.
• Last updated date.

According to the documentation, these are generally supplied as timestamps. You use comparison operators such as:

• gte (greater than or equal).
• lte (less than or equal).
• between (range filters, when supported).

This makes it possible to pull tasks due in a specific week, as well as tasks created after a particular product release or milestone.

Building Relative Date Filters in ClickUp

In some automation and reporting scenarios you may want to filter relative to the current time, such as tasks due in the next seven days. While the official documentation focuses on explicit timestamp values, you can typically implement relative logic in your own application layer, then convert it into concrete timestamps in the request you send.

For example, your integration could:

1. Calculate the current time in UTC.
2. Add seven days to get an end boundary.
3. Send a filter using gte and lte with those two timestamps.

Search and Text Matching with ClickUp Filters

Beyond structured field filters, the task filter endpoint can perform text-based searches. The documentation explains that you can add a search object that specifies:

• The search term.
• Whether to search in task titles, descriptions, or both.
• Any additional options that refine how text is matched.

This is especially useful when you want to find tasks that mention a particular keyword, project codename, or issue ID that might appear in free text rather than in a structured field.

Combining ClickUp Search with Field Filters

You gain the most power when you combine structured and unstructured filters. For instance, you can:

• Search for a keyword in the title.
• Restrict the results to a specific status or list.
• Limit the tasks to those assigned to a certain user.

According to the documentation, you include both the filters array and the search object in the same request body so that only tasks that satisfy both are returned.

Sorting Results from ClickUp Task Filters

Sorting helps you control the order of the returned tasks. The task filters documentation shows that you pass a sort array that defines:

• The column or field to sort by.
• The direction, typically ascending or descending.

Common sort options include:

• Sort by due date to see the most urgent tasks first.
• Sort by creation time to process tasks in chronological order.
• Sort by priority so critical work appears at the top.

You can also define multiple sort levels. For example, sort by status first and then by due date within each status group.

Pagination and Limits for ClickUp Filters

To handle large result sets efficiently, the endpoint supports pagination. You typically provide:

• limit: maximum number of tasks per page.
• page or an offset-like parameter: which page of results you want to retrieve.

The official documentation recommends that you pick a reasonable limit to avoid timeouts or overly large responses. You can loop over pages in your client application until you have processed all tasks that match your filter.

Practical ClickUp Task Filter Use Cases

When you understand the building blocks, you can design many practical workflows using the task filters endpoint:

• Generate weekly reports of tasks completed in a date range.
• Build dashboards that show overdue tasks grouped by assignee.
• Create automated alerts when high-priority tasks are created.
• Pull tasks with specific custom field conditions into external tools.

Because the endpoint is flexible, you can adapt the same foundation to multiple projects and analytics needs.

Best Practices When Working with ClickUp Filters

To keep your integrations reliable and performant, follow these recommendations from the official documentation and common API design patterns:

• Validate IDs: Confirm that workspace, list, and custom field IDs are correct before deploying your filter logic.
• Use precise filters: Narrow your conditions so you do not fetch more tasks than necessary.
• Test incrementally: Start with simple filters and add complexity step by step.
• Handle pagination: Always code for multiple pages of results.
• Monitor rate limits: Space out calls or cache results when appropriate.

These practices help ensure that your ClickUp integration scales smoothly as the volume of tasks in your workspace grows.

Where to Learn More About ClickUp Task Filters

For the complete, authoritative reference on every parameter, field, and operator, review the official documentation at the ClickUp task filters API page. It includes detailed schemas, request and response examples, and up-to-date notes on supported options.

If you need strategic guidance on designing robust, API-driven workflows or optimizing your workspace for reporting, you can also explore expert consulting resources like Consultevo, which specializes in workflow optimization and automation.

By combining the official task filter endpoint with thoughtful integration design, you can transform raw task data from ClickUp into powerful insights, automated processes, and reliable cross-tool synchronization.

Need Help With ClickUp?

If you want expert help building, automating, or scaling your ClickUp workspace, work with ConsultEvo — trusted ClickUp Solution Partners.

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