Integrate Datawrapper with GitLab to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Find Project Merge Requests on GitLab when When a chart is created or updated in Datawrapper
Find All Merge Requests in GitLab when When a chart is created or updated in Datawrapper
Create a Commit in Gitlab when When a chart is created or updated in Datawrapper
Create Merge Request in GitLab when When a chart is created or updated in Datawrapper
Create Branch in GitLab 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
GitLab
Automatically do this!
Find Project Merge Requests
Find All Merge Requests
Create a Commit
Create Merge Request
Create Branch
Add Note to Merge Request or Thread
Find Group Merge Requests
Create Issue
Add Note To Issue
Find Project Merge Requests on GitLab when When a chart is created or updated in Datawrapper
Use this flowFind All Merge Requests in GitLab when When a chart is created or updated in Datawrapper
Use this flowCreate a Commit in Gitlab when When a chart is created or updated in Datawrapper
Use this flowCreate Merge Request in GitLab when When a chart is created or updated in Datawrapper
Use this flowCreate Branch in GitLab when When a chart is created or updated in Datawrapper
Use this flowAdd Note to Merge Request or Thread in GitLab when When a chart is created or updated in Datawrapper
Use this flowFind Group Merge Requests in GitLab when When a chart is created or updated in Datawrapper
Use this flowCreate Issue in GitLab when When a chart is created or updated in Datawrapper
Use this flowAdd Note To Issue to an issue in GitLab when When a chart is created or updated in Datawrapper
Use this flowCreate a Chart in Datawrapper when New Commit in GitLab
Use this flowEverything you can automate between Datawrapper and GitLab.
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.
Triggers when a commit is made on a specified project.
Triggers when you are requested to review a merge request.
Trigger for a specified job event in a project.
Triggers when a new comment is made on an issue in the selected project.
Triggers on an open, merge, or close merge request event.
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 moreGitLab is a comprehensive DevOps platform that provides source code management, CI/CD pipelines, and project management tools, enabling teams to collaborate efficiently on software development projects.
Learn moreSign up for a free viaSocket account, then authorize both your Datawrapper and GitLab 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 GitLab 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 GitLab. No coding required.
Yes. You can set up a workflow where Datawrapper triggers actions in GitLab, and a separate workflow where GitLab 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 GitLab. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Datawrapper and GitLab integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.