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Toggl

Productivity and Collaboration

Unlock detailed time tracking insights by replicating Toggl data to your preferred analytics environment. Access granular Time Entries with duration in seconds, detailed descriptions, and associated project IDs to understand exactly how teams spend their working hours. Track Project performance through actual hours logged, current status indicators, and configured hourly rates, while analyzing Client relationships through workspace associations and billing categorizations. Our pipeline captures every billable minute, labor cost calculations per user, and project organization through tags and tasks, enabling comprehensive productivity analysis outside the Toggl interface.

Connect Toggl now →

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Kondado’s Toggl data source offers 10 distinct pipelines spanning 141 fields, covering everything from individual time entries and project assignments to user labor costs and workspace configurations.

Marketing teams can analyze campaign time allocation against deliverables to improve pricing strategies, while data analysts build utilization dashboards tracking billable versus non-billable hours across departments and individual contributors. Operations managers leverage this data to optimize resource allocation, identify bottlenecks in project workflows, and ensure accurate client invoicing by cross-referencing time entries with specific hourly rates and labor costs. Finance teams benefit from automated revenue recognition analysis by connecting tracked time to actual project budgets and client profitability metrics.

The Kondado platform takes care of refreshing Toggl data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Toggl data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Try out all the features for free for 14 days

The following pipelines enable comprehensive time tracking analysis across every dimension of your Toggl workspace. The Time Entries pipeline captures every second of tracked activity with descriptions and project associations, while the Projects pipeline reveals actual hours versus estimates alongside billing rates. Analyze team structure through the Workspaces: Users pipeline which connects labor costs to specific assignments, and examine organizational hierarchy using the Groups pipeline to understand how teams roll up into departments. The Clients pipeline provides essential billing context by linking time entries to specific customer accounts and workspace configurations. By joining these datasets, you can calculate true project profitability comparing labor costs from the Projects: Users pipeline against revenue potential in the Projects pipeline, or identify which client relationships consume disproportionate resources relative to their billing value. With automated updates on a configurable schedule ranging from every five minutes to daily intervals, your utilization KPIs and billing reports remain current without manual CSV exports.

Connector schema

Available Toggl data

available pipelines

141

extractable fields

Available integrations

Clients

Includes fields such as client ID, name, and workspace ID, enabling efficient client management.

Groups

Contains information about group ID, name, and list of workspaces, facilitating project organization.

Projects

Presents data such as project ID, actual hours, status, and hourly rate, essential for tracking activities.

Projects: Groups

Includes unique identifiers for projects and groups, facilitating the association between them.

Projects: Users

Provides data such as user ID, labour cost, and hourly rate, allowing analysis of user performance in projects.

How to visualize Toggl data in 3 steps

Connect Toggl to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Add Toggl Data Source

Navigate to the data sources section and select Toggl to begin your connection. Enter your Toggl API credentials to establish authenticated access to your time tracking workspaces.

Select Pipelines and Destination

Choose from the 10 available pipelines including Time Entries, Projects, and Clients to replicate your specific data needs. Send your data to Power BI, Looker Studio, Google Sheets, BigQuery, or PostgreSQL, plus other destinations like MySQL, Excel, Redshift, SQL Server, and Amazon S3.

Analyze in Your Tools

Build custom dashboards in your BI tools, perform ad-hoc analysis in spreadsheets, or query structured tables in your database to uncover productivity insights. Create utilization reports, client profitability analyses, and time allocation breakdowns using your replicated Toggl data.

Try out all the features for free for 14 days

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use Toggl data

Toggl > AI (Claude, ChatGPT, MCP)

Toggl > Looker Studio

Toggl > Power BI

Other visualizations

Toggl > Amazon S3

Toggl > BigQuery

Toggl > Excel

Toggl > Google Sheets

Toggl > MySQL

Toggl > PostgreSQL

Toggl > Redshift

Toggl > SQL Server

Choose a tool to visualize your Toggl data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Toggl > Airtable

Toggl > Alteryx

Toggl > Amazon Quicksight

Toggl > BIMachine

Toggl > Cortex

Toggl > Data Studio

Toggl > Geckoboard

Toggl > Grafana

Toggl > IBM Cognos Analytics

Toggl > Klipfolio

Toggl > Looker Studio

Toggl > Looker

Toggl > Looqbox

Toggl > Metabase

Toggl > Microstrategy

Toggl > Pentaho

Toggl > Power BI

Toggl > Qlik Cloud Analytics

Toggl > Qlik Sense

Toggl > Qlik

Toggl > QlikView

Toggl > Redash

Toggl > Superset

Toggl > Tableau

Toggl > BI TOTVS

Toggl > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting Toggl to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

What Toggl data can I export through Kondado? ▼

You can replicate ten distinct pipelines including Time Entries with duration and descriptions, Projects with actual hours and billing rates, Clients with workspace associations, and Tasks with status tracking. The data source also extracts user labor costs, group hierarchies, and tag categorizations across all your workspaces, totaling 141 available fields for analysis.

How do I connect Toggl to Power BI or Google Sheets? ▼

After adding the Toggl data source in Kondado, authenticate with your Toggl API credentials to establish authenticated access to your time tracking workspaces. Then choose your destination such as Power BI, Google Sheets, or BigQuery to begin automated replication on your preferred schedule.

How often does Kondado update Toggl data? ▼

Kondado updates your Toggl data on a configurable schedule that you control, ranging from every five minutes to daily intervals depending on your analytics needs. This ensures your time tracking reports reflect recent activity without requiring manual refreshes or CSV downloads.

Can I analyze Toggl time entries by project and client? ▼

Yes, by replicating the Time Entries, Projects, and Clients pipelines, you can join these datasets to analyze exactly how much time your team spends on specific client work. Calculate billable hours per client, identify your most profitable project types, and track budget consumption against actual logged time.

What analyses can I build with Toggl project and user data? ▼

Combine the Projects and Projects: Users pipelines to calculate individual contributor profitability by comparing labor costs against project billing rates. You can also build utilization dashboards showing billable versus non-billable time ratios, identify overworked team members, and optimize resource allocation across active projects.

Does Kondado support Toggl Tags and Tasks data? ▼

Yes, the Tags pipeline captures categorization metadata including tag IDs and names across workspaces, while the Tasks pipeline provides task-specific status and update timestamps. This enables filtered analysis of time entries by custom categories and tracking of task completion rates alongside time consumption.

Can I combine Toggl data with other business data sources? ▼

Absolutely, by sending Toggl data to a centralized warehouse like PostgreSQL or BigQuery, you can join time tracking metrics with CRM, financial, or project management data. Create unified reports correlating logged hours with sales revenue, support tickets, or marketing campaign performance for holistic business intelligence.

Related on Kondado

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