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Time Tracking API Standards

Common API design patterns, data formats, and integration standards used by time tracking software to enable interoperability between time tracking tools, project management platforms, payroll systems, and accounting software.

Last updated: 2026-03-20 06:21

Overview

Time tracking APIs enable programmatic access to time entry data, allowing businesses to integrate time tracking with other systems like project management, payroll, invoicing, and reporting tools. Understanding common API patterns helps developers build integrations and businesses choose compatible tools.

Common API Architectures

REST APIs (Most Common)

Examples: Toggl Track, Clockify, Harvest, Everhour

GraphQL APIs (Emerging)

Examples: Some newer platforms, custom implementations

Webhooks (Event-Driven)

Core API Resources

Time Entries

Standard fields:

Common operations:

Projects

Standard fields:

Users/Team Members

Standard fields:

Clients

Standard fields:

Authentication Patterns

API Key Authentication

How it works:

Examples: Clockify, Harvest (legacy)

OAuth 2.0 (Standard for third-party apps)

Flow:

  1. App redirects user to provider auth page
  2. User grants permissions
  3. App receives authorization code
  4. App exchanges code for access token
  5. App uses access token for API requests
  6. Refresh token when expired

Benefits:

Examples: Toggl Track, Harvest (modern), TMetric

Bearer Token

Usage: Authorization: Bearer YOUR_TOKEN

Common Integration Patterns

Project Management Sync

Scenario: Time tracking within PM tool (Asana, Jira, Trello)

Pattern:

  1. PM tool project → Time tracking project (sync)
  2. PM tool task → Time tracking task
  3. User starts timer on PM task
  4. Time data flows back to PM tool

Examples: Everhour, Harvest, Toggl integrations

Payroll Integration

Scenario: Approved timesheets → Payroll system

Pattern:

  1. Time entries aggregated by employee
  2. Manager approval in time tracking system
  3. Export to payroll format (CSV, API)
  4. Import into payroll (Gusto, ADP, Paychex)
  5. Regular hours vs. overtime calculations

Invoicing Integration

Scenario: Billable hours → Client invoices

Pattern:

  1. Mark time entries as billable
  2. Apply hourly rates (by user, project, or client)
  3. Generate line items for invoice
  4. Export to invoicing tool (QuickBooks, FreshBooks, Xero)
  5. Track invoiced vs. uninvoiced time

Data Format Standards

Time Representation

Duration formats:

Timestamp formats (ISO 8601 standard):

Date-only:

Filtering & Pagination

Common query parameters:

GET /time-entries?
  user_id=123&
  start_date=2026-03-01&
  end_date=2026-03-31&
  project_id=456&
  page=1&
  per_page=100

Pagination patterns:

Rate Limiting

Common limits:

Headers:

Best practices:

Error Handling

Standard HTTP status codes:

Error response format:

{
  "error": "validation_error",
  "message": "Start time must be before end time",
  "details": {
    "field": "start_time",
    "value": "2026-03-20T15:00:00Z"
  }
}

Reporting APIs

Common report endpoints:

Export formats:

Real-Time Features

WebSockets

Use cases:

Server-Sent Events (SSE)

Alternative to WebSockets:

Popular Time Tracking APIs

Toggl Track API

Clockify API

Harvest API v2

Everhour API

Developer Resources

Essential documentation:

SDKs and libraries:

Future Trends

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