No-code pipeline · Toggl → MySQL

Send data from Toggl to MySQL

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From Toggl to MySQL: managed, scheduled, no code.
Creating a pipeline that sends data from Toggl to MySQL databases takes only a few minutes with Kondado. And the whole integration from Toggl to MySQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Toggl data and combining it with other data in your MySQL database

Send Toggl Data to MySQL Automatically

Kondado enables you to send Toggl data to MySQL through a direct integration that requires no coding or complex API configuration. You simply connect your Toggl account as a data source, specify your MySQL database as the destination, and choose which data pipelines to replicate based on your analytical needs. The platform then automates the data transfer on your preferred schedule, whether you require updates every 5 minutes, hourly, or once daily, ensuring your time tracking information flows continuously into your database for comprehensive analysis and reporting.

Once connected, Kondado maintains your selected pipelines automatically, preserving historical time entry data and tracking changes to projects and client assignments. You can combine this information with other business data in MySQL to calculate utilization rates, project profitability, and team productivity metrics for deeper operational insights.

Kondado automatically replicates Toggl time entries, projects, clients, and workspace data to your MySQL database on a configurable schedule ranging from every 5 minutes to daily, enabling you to build custom productivity analytics and billing reports directly in SQL.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Toggl Data in MySQL

With the Time Entries pipeline, you can analyze raw second-by-second tracking data in MySQL to identify productivity patterns, billable hours trends, and time allocation across different teams and date ranges. The Projects and Clients pipelines deliver structured metadata that lets you join granular time data with billing rates, project statuses, and client assignments, creating comprehensive profitability dashboards. By combining these datasets in your own database alongside financial or HR information, you build custom SQL reports that track team utilization, project margins, and client engagement through complex queries that filter by workspace, user groups, or specific tasks.

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Replicated to MySQL

Toggl data available for MySQL

Tables Kondado writes into your MySQL, on a schedule you control.

10
available pipelines
141
extractable fields
MySQL
Destination

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.
Tags
Contains information about tag ID, name, and workspace ID, facilitating the categorization of entries.
Tasks
Includes data such as task ID, status, and update timestamp, aiding in activity management.
Time Entries
Presents information such as entry ID, description, and duration in seconds, essential for time tracking.
Workspaces
Contains data about workspace ID and name, allowing for the organization of projects and teams.
Workspaces: Users
Includes information such as user ID, name, and workspace ID, facilitating user management across different workspaces.

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How to send Toggl data to MySQL

Sync data automatically — no code, no manual exports.

1
Connect Your Toggl Account

Log into Kondado and add Toggl as a new data source by entering your API credentials and selecting the workspaces you want to replicate.

2
Configure MySQL Destination

Enter your MySQL connection details including host, port, database name, and authentication credentials to establish the destination database.

3
Select Data and Schedule

Choose which Toggl pipelines to replicate, such as Time Entries and Projects, then set your preferred update frequency from every 5 minutes to daily.

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Send data from Toggl to other destinations

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

Frequently Asked Questions (FAQ)

Answers about sending Toggl data to MySQL automatically

How do I connect Toggl to MySQL and start replicating data?
Kondado uses a direct integration to extract data from your Toggl account and load it into your MySQL database. You authenticate your workspace, select the specific pipelines you need, and configure the update schedule. The platform handles schema creation and data type mapping automatically, ensuring your time entries and project metadata arrive ready for SQL querying.
What Toggl data is available to replicate into MySQL?
You can replicate ten different pipelines including Time Entries, Projects, Clients, Tasks, Tags, and Workspaces. Each pipeline contains specific fields such as duration in seconds, hourly rates, project statuses, and user assignments. This allows you to reconstruct complete time tracking histories and organizational structures directly in your database for custom analysis.
How often can I replicate Toggl data to MySQL?
Kondado supports configurable update schedules ranging from every 5 minutes to daily, depending on your reporting needs. You set the frequency during the initial configuration, and the platform automatically replicates new and updated records accordingly. This ensures your MySQL database reflects recent time tracking activity without manual intervention.
Can I join Toggl data with other sources in my MySQL database?
Yes, once Toggl data resides in MySQL, you can join it with information from other sources you also replicate, such as accounting software or CRM platforms. This enables you to calculate true project costs by combining hours worked with expenses and revenue data. Kondado connects over 80 sources, allowing you to centralize diverse business data in your MySQL database.
What does Toggl data look like once stored in MySQL?
Each Toggl pipeline loads into your MySQL database as structured relational data with preserved field types and relationships. Time Entries appear with timestamps and durations in seconds, while Projects and Clients maintain their hierarchical IDs for easy joining. The schema reflects Toggl's native structure, making it straightforward to write SQL queries for billing and productivity analysis.
Is coding required to set up the Toggl to MySQL connection?
No, Kondado provides a no-code interface for connecting Toggl to MySQL without API programming or script maintenance. You authenticate through the web interface, select your pipelines using checkboxes, and specify your database credentials. The platform manages the technical complexity of data extraction and loading automatically.
How do I visualize Toggl data from MySQL?
Once your Toggl data resides in MySQL, you can connect it to visualization platforms like Power BI, Looker Studio, or Google Sheets for dashboard creation. This workflow lets you build custom time tracking reports that combine with other business metrics. You maintain full control over the reporting logic using SQL while presenting insights through your preferred analytics interface.

Try out all the features for free for 14 days

Try out all the features for free for 14 days