Integrate Datawrapper with Clockify to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Find Project in Clockify when When a chart is created or updated in Datawrapper
Update a Client in Clockify when When a chart is created or updated in Datawrapper
Delete a Client from Clockify when When a chart is created or updated in Datawrapper
Create Client in Clockify when When a chart is created or updated in Datawrapper
Find Client in Clockify when When a chart is created or updated in Datawrapper
Start from a real workflow other teams are already running.
Datawrapper
When this happens...
When a chart is created or updated
Clockify
Automatically do this!
Find Project
Update a Client
Delete a Client
Create Client
Find Client
Find Task
Create a Project
Create a Task
Find Tag
Create a Tag
Find Time Entry
Create a Time Entry
Find Running Timer
Find Project in Clockify when When a chart is created or updated in Datawrapper
Use this flowUpdate a Client in Clockify when When a chart is created or updated in Datawrapper
Use this flowDelete a Client from Clockify when When a chart is created or updated in Datawrapper
Use this flowCreate Client in Clockify when When a chart is created or updated in Datawrapper
Use this flowFind Client in Clockify when When a chart is created or updated in Datawrapper
Use this flowFind Task in Clockify when When a chart is created or updated in Datawrapper
Use this flowCreate a Project in Clockify when When a chart is created or updated in Datawrapper
Use this flowCreate a Task in Clockify when When a chart is created or updated in Datawrapper
Use this flowFind Tag in Clockify when When a chart is created or updated in Datawrapper
Use this flowCreate a Tag in Clockify when When a chart is created or updated in Datawrapper
Use this flowEverything you can automate between Datawrapper and Clockify.
When this happensTriggers
A trigger is an event that starts a workflow.
Runs the workflow automatically whenever any chart is created or updated in the account.
Action is the task that follows automatically within your Datawrapper integrations.
Create a chart with a title and type, add data and metadata (intro, byline, source, notes, number format), choose a theme and placement (workspace, folder, or organization), and optionally customize visualization settings, colors, and publish/embed options.
Find charts by ID, title, or filters, with optional pagination.
Get a user by ID or list workspace/team members, with optional search, role filters, ordering, and pagination.
List members of a workspace team, with optional search, role or invite filters, ordering, and pagination.
Retrieve folders in a workspace, optionally filtering by workspace (slug or name) or by folder name or ID.
Delete a chart permanently or move it to trash (recoverable for 30 days).

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
Learn moreClockify, a time tracking and timesheet application, enables project-based work hour tracking for unlimited users at no cost.
Learn moreSign up for a free viaSocket account, then authorize both your Datawrapper and Clockify accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Datawrapper and Clockify as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Clockify. No coding required.
Yes. You can set up a workflow where Datawrapper triggers actions in Clockify, and a separate workflow where Clockify triggers actions in Datawrapper. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Datawrapper and Clockify. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Datawrapper and Clockify integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.