Integrate the UiPath API with the Python API

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

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Popular UiPath and Python Actions#

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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Overview of UiPath#

UiPath is a leader in Robotic Process Automation (RPA), enabling businesses to automate routine tasks with software robots. Their API provides the ability to manage these robots, processes, and queues programmatically. With UiPath's API on Pipedream, you can create sophisticated automation workflows that trigger actions in UiPath as part of broader, cross-application processes. This could involve initiating UiPath jobs based on incoming data from different sources, managing resources, or reacting to events from other applications or services to create a seamless automation ecosystem.

Connect UiPath#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uipath: {
      type: "app",
      app: "uipath",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://cloud.uipath.com/${this.uipath.$auth.account_logical_name}/${this.uipath.$auth.tenant_name}/orchestrator_/odata/Users/UiPath.Server.Configuration.OData.GetCurrentUser`,
      headers: {
        Authorization: `Bearer ${this.uipath.$auth.oauth_access_token}`,
        "accept": `application/json`,
      },
    })
  },
})

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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