Integrate Skyvern with Databricks to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Cluster in Databricks when New or Updated Skyvern Workflow in Skyvern
Create a Directory in Databricks when New or Updated Skyvern Workflow in Skyvern
Delete a Job in Databricks when New or Updated Skyvern Workflow in Skyvern
Create a Repo in Databricks when New or Updated Skyvern Workflow in Skyvern
Delete Repo from Databricks when New or Updated Skyvern Workflow in Skyvern
Start from a real workflow other teams are already running.
Skyvern
When this happens...
New or Updated Skyvern Workflow
Databricks
Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Create Cluster in Databricks when New or Updated Skyvern Workflow in Skyvern
Use this flowCreate a Directory in Databricks when New or Updated Skyvern Workflow in Skyvern
Use this flowDelete a Job in Databricks when New or Updated Skyvern Workflow in Skyvern
Use this flowCreate a Repo in Databricks when New or Updated Skyvern Workflow in Skyvern
Use this flowDelete Repo from Databricks when New or Updated Skyvern Workflow in Skyvern
Use this flowEverything you can automate between Skyvern and Databricks.
When this happensTriggers
A trigger is an event that starts a workflow.
Fetch Skyvern workflows created or updated within the specified recent time window and return them newest first.
Action is the task that follows automatically within your Skyvern integrations.
Launch a Skyvern workflow run using a workflow ID and optional title, proxy location, webhook, and browser address. Returns the run ID, status, and a link to view the run.
Create and start a Skyvern task for a URL and prompt, then return the task ID, initial status, and task link.
Fetch the full details of a specific task by its Task ID.
Creates a new browser session and optionally sets timeout, proxy location, browser type, and extensions.
Creates a new folder in Skyvern to organize your files and projects.
Creates a new Databricks cluster for processing tasks.

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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Skyvern is a cutting-edge platform designed to revolutionize the way businesses manage their operations and enhance productivity. With a focus on seamless integration and user-friendly interfaces, Skyvern offers a suite of tools that cater to various business needs, from project management to team collaboration. Its robust features are tailored to streamline workflows, improve communication, and drive efficiency across teams.
Learn moreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
Learn moreSign up for a free viaSocket account, then authorize both your Skyvern and Databricks 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 Skyvern and Databricks 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 Databricks. No coding required.
Yes. You can set up a workflow where Skyvern triggers actions in Databricks, and a separate workflow where Databricks triggers actions in Skyvern. 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 Skyvern and Databricks. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Skyvern and Databricks integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.