ClickUp Time Entries Within a Date Range: How-To Guide

This guide explains how to use the ClickUp API endpoint that retrieves time entries within a specific date range for a workspace, so you can power reports, integrations, and automation safely and efficiently.

The article is based on the official REST API reference for time entries and walks you through required parameters, optional filters, and practical implementation tips.

Understanding the ClickUp Time Entries Endpoint

The endpoint described here lets you fetch time tracking data recorded across a ClickUp workspace over a defined time window.

Official reference: Get Time Entries Within a Date Range.

This endpoint is useful when you need to:

• Build custom time tracking dashboards
• Export time entries for billing and invoicing
• Sync time with external systems, such as payroll or analytics
• Audit time spent on tasks across teams

ClickUp Endpoint URL and HTTP Method

The time entries within a date range resource is a GET endpoint that returns a list of time entries for a workspace, limited by the date range and other filters you pass as query parameters.

The base pattern for the request is:

• Method: GET
• Authentication: Personal token or OAuth 2.0 token in the Authorization header
• Response format: JSON

Always include your authorization token as a Bearer token, for example:

Authorization: Bearer YOUR_API_TOKEN

Required Parameters for the ClickUp Time Range

To successfully call the endpoint, you must provide certain required query parameters that define the workspace and the time window.

Workspace Identifier

You must specify the workspace whose time entries you want to retrieve. The endpoint uses a workspace identifier parameter to scope the results to that specific environment. Without this required identifier, the request cannot be processed.

Start and End Date Parameters

The date range is controlled by two required query parameters:

• start_date: The beginning of the time window
• end_date: The end of the time window

These are typically expressed as timestamps in milliseconds. The API returns all time entries that fall within or intersect this interval, based on the tracking data recorded in the workspace.

To avoid missing records or over-fetching, choose a range that matches your reporting needs, such as a week, month, or billing cycle.

Optional Filters to Refine ClickUp Results

Beyond the required parameters, the endpoint supports optional filters that let you narrow down the returned time entries and reduce the size of responses.

User and Assignee Filters

Use filters related to users if you want to limit time entries to specific people. Common use cases include:

• Generating time reports for one employee
• Filtering by a set of user IDs for a particular team
• Auditing time logged by a group of contractors

These filters help you avoid downloading all workspace entries when you only need a subset related to specific users.

Task, List, or Space Filters

You can also refine results by work hierarchy filters, such as:

• Task identifiers to retrieve time logged on individual tasks
• List-level filters for focused project reporting
• Space-level filters for high-level portfolio or department reporting

This is particularly helpful when you only want time entries tied to certain projects, clients, or internal initiatives.

Billable and Non-Billable Filters

If you use billable time, you can filter time entries based on whether they are marked as billable or non-billable. This simplifies the process of creating invoices or financial summaries because you can pull only the time that should be billed to a client.

Building a ClickUp Request Step by Step

Follow these steps to construct a stable and reusable request to the time entries within a date range endpoint.

1. Prepare Authentication

1. Generate a personal token or complete the OAuth 2.0 flow.
2. Store the token securely in your environment or secret manager.
3. Add the token to the Authorization header as Bearer <token>.

2. Define Your Date Range

1. Select the reporting period you need, such as the previous calendar month.
2. Convert the start and end times to the required timestamp format.
3. Set these as the start_date and end_date query parameters.

3. Add Filters for Your Use Case

1. Decide whether you need workspace-wide data or only a subset.
2. Add filters for users, tasks, lists, or spaces when helpful.
3. Include billable filters if you only want billable entries.

4. Send the Request and Handle the Response

1. Issue the GET request with all query parameters and headers.
2. Inspect the JSON response for an array of time entry objects.
3. Store, transform, or display the results in your own application.

Key Fields Returned by the ClickUp Endpoint

The response contains multiple time entry objects, each with fields that describe how, when, and where the time was tracked. While the exact structure is defined in the reference, key concepts include:

• Unique identifier for each time entry
• Duration of time tracked, typically in milliseconds
• Start and end timestamps for the entry
• User information indicating who logged the time
• Task or work item references linking the time entry to work hierarchy
• Billable flag to distinguish billable from non-billable time

Use these fields to power reports, visualizations, or exports that match your business processes.

Best Practices for Using the ClickUp Time Entries Endpoint

To keep your integration reliable and efficient, follow these implementation and optimization tips.

Respect Rate Limits and Pagination

The API may enforce rate limits and pagination. To handle these gracefully:

• Read header values that indicate rate limit status.
• Implement backoff and retry logic when you reach limits.
• Use pagination parameters to process results in smaller batches instead of one massive response.

Use Consistent Time Zones

Always standardize your date range calculations in one time zone, typically UTC, before converting to timestamps. This avoids gaps or overlaps caused by local time shifts, daylight savings, or inconsistent server configuration.

Cache Stable Results

For historical periods that no longer change, cache responses where appropriate to reduce repeated calls. For example:

• Lock in last month’s reporting data in a database.
• Refresh only recent days or the current billing period more frequently.

Testing and Debugging Your ClickUp Integration

When working with new integrations, start in a controlled environment and gradually scale up.

• Test with a small date range, such as a single day.
• Limit results with user or task filters to simplify inspection.
• Log requests and responses (without exposing tokens) for troubleshooting.

If the endpoint returns errors, validate your date formats, parameter names, and authorization header. Always cross-check against the official reference when you change query options.

Next Steps and Further ClickUp Resources

To go deeper and verify parameter options, consult the official documentation at Get Time Entries Within a Date Range. It includes the complete schema, example responses, and the latest updates to the endpoint behavior.

For broader implementation strategy, API design, and integration architecture that complements your workspace, consider working with specialists such as Consultevo, which focuses on process automation and scalable tooling.

By following this guide and the official reference, you can confidently retrieve time entries within any date range, integrate them into your reporting pipelines, and ensure your ClickUp workspace data is accurately reflected in your internal systems.