Integrate Datawrapper with Apify to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Chart in Datawrapper when When a selected actor completes a run in Apify
Find Charts in Datawrapper when When a selected actor completes a run in Apify
Find or List Users in Datawrapper when When a selected actor completes a run in Apify
Find Folders in Datawrapper when When a selected actor completes a run in Apify
Delete a Chart in Datawrapper when When a selected actor completes a run in Apify
Start from a real workflow other teams are already running.
Datawrapper
When this happens...
When a chart is created or updated
Apify
Automatically do this!
Run Actor Task
Create or Update Key-Value Record
Run Actor
Find Latest Actor Run
Get Dataset Items
Get Dataset By ID
Create Chart in Datawrapper when When a selected actor completes a run in Apify
Use this flowFind Charts in Datawrapper when When a selected actor completes a run in Apify
Use this flowFind or List Users in Datawrapper when When a selected actor completes a run in Apify
Use this flowFind Folders in Datawrapper when When a selected actor completes a run in Apify
Use this flowDelete a Chart in Datawrapper when When a selected actor completes a run in Apify
Use this flowList Workspaces in Datawrapper when When a selected actor completes a run in Apify
Use this flowCreate Folder in Datawrapper when When a selected actor completes a run in Apify
Use this flowCreate a Workspace in Datawrapper when When a selected actor completes a run in Apify
Use this flowUpdate Chart in Datawrapper when When a selected actor completes a run in Apify
Use this flowUpload Chart Data to Datawrapper when When a selected actor completes a run in Apify
Use this flowEverything you can automate between Datawrapper and Apify.
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.
Runs the workflow automatically whenever the selected actor completes a run.
Runs the workflow automatically whenever a run of the selected task finishes.
Runs when new LinkedIn post
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 theme and placement (workspace, folder, organization), and optionally customize visualization settings, colors, and publish options.
Find charts by ID, title, or filters, with optional pagination.
Retrieve a user by ID or list a team’s members, with optional search, ordering, and pagination.
Retrieve folders from 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).
List workspaces in the connected account.

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 moreApify is a powerful, scalable platform designed to automate web scraping, data extraction, and web automation tasks effortlessly. Whether you need to collect data from websites, automate repetitive browser actions, or build complex workflows, Apify provides a robust, developer-friendly environment to make it happen—without sacrificing flexibility or control.
Learn moreSign up for a free viaSocket account, then authorize both your Datawrapper and Apify 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 Apify 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 Apify. No coding required.
Yes. You can set up a workflow where Datawrapper triggers actions in Apify, and a separate workflow where Apify 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 Apify. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Datawrapper and Apify integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.