STEP 1
Select Runway ML in workflow
Pick Runway ML app in the workflow builder [4] - just one click to select the app.
Runway ML Integration
Generative AI platform for video, image, and media creation. Connect Runway ML to the rest of your stack so AI outputs can trigger real workflow actions. Start with Get a Task, then use Cancel a Task or Generate a Video to turn results into useful next steps.
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- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for Runway ML integration
Triggers can detect changes in Runway ML and run actions that can create, search or modify data inside Runway ML automatically [3] — exactly how you set them.
- Get a TaskRetrieves a task by id.
- Cancel a TaskCancels an existing task by id.
- Generate a VideoGenerates a new video from a provided image.
- Make an API CallPerforms an arbitrary authorized API call.
How to integrate Runway ML in automation workflow?
3 simple steps to make your Runway ML connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Runway ML
When prompted, authorize access to Runway ML in WEXTL once. Runway ML credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Runway ML account. Approve?
STEP 3
Build a workflow
Build your workflow with Runway ML yourself or with WEXTL® AI Builder. Connect Runway ML to any available integrations [5], or use HTTP node to go beyond them.
Runway ML
How Runway ML connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Runway ML app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Runway ML supports.
The following table illustrates what fields Runway ML integration require during authorization flow inside our workflow builder [4].
Connect Runway ML
API Key*Text
••••••••
Demonstration of Runway ML connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
API KeyRequired | password | Use the following instruction to obtain API Key for Runway ML: https://docs.dev.runwayml.com/guides/quickstart/. |
Connect Runway ML to popular apps on WEXTL
Enter a name of the other app you want to sync with Runway ML below. Click on selected app to explore integration options with Runway ML. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Runway ML integration
Select Get a Task action from Runway ML - this will be a starting point in your automation. Whenever event happens in Runway ML, workflow will start [7] from Get a Task node.
Search for Cancel a Task, connect it as the next step of integration sequence. You can use filters between Get a Task and Cancel a Task, so only important data pass from Get a Task to the next step. WEXTL gives you full control over the process of Runway ML automation. All parts of workflow are visible on the canvas [4].
Runway ML on WEXTL has 4 modules for combining ai automations. Explore Runway ML documentation for more.
Video slide demonstrates how Get a Task and Cancel a Task [6] nodes are used in Runway ML workflow.
Frequently asked questions
Common questions about automating Runway ML in your workflows.
Runway ML has no triggers, but it provides 4 actions including "Get a Task", "Cancel a Task", and "Generate a Video". Pair them with triggers from other apps to automate Runway ML tasks.
Integration has 4 actions, including "Get a Task", "Cancel a Task", and "Generate a Video", and more. Refer to our Runway ML Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Runway ML integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Runway ML official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Runway ML provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Runway ML or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Runway ML inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Runway ML modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Runway ML integration.
- Runway ML integration source code, module specs and credentials implementation.
- Internal Runway ML integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Runway ML vendor API documentation — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® Visual Workflow Builder, anonymized data from our technical support team.
- WEXTL® Apps Library
- WEXTL® Runway ML App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation