Integrate the Skyvern API with the Python API

Setup the Skyvern API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Skyvern and Python remarkably fast. Free for developers.

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Popular Ways to Connect Skyvern with Python#

Run Python Code with Python API on New or Updated Workflow from Skyvern API

Skyvern + Python

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Popular Skyvern and Python Triggers#

New or Updated Workflow from the Skyvern API

Emit new event when a workflow is created or updated in Skyvern.

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Popular Skyvern and Python Actions#

Create and Run Task with the Skyvern API

Create a new task and run it instantly in Skyvern. Useful for one-off automations. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Workflow Run Details with the Skyvern API

Retrieve details of runs of a specific Skyvern workflow. Useful for checking the status and result of a run. See the documentation

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Run Workflow with the Skyvern API

Trigger a predefined workflow in Skyvern, allowing the execution of complex routines from Pipedream. See the documentation

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Connect Skyvern#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    skyvern: {
      type: "app",
      app: "skyvern",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.skyvern.com/api/v1/organizations`,
      headers: {
        "x-api-key": `${this.skyvern.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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