Okta

Okta is a cloud-based identity and access management (IAM) company that provides single sign-on (SSO) and multi-factor authentication (MFA) services. Okta's platform allows users to securely access applications from any device, at any time, and from anywhere.

Integrate the Okta API with the Python API

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

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Run Python Code with Python API on New Okta Event from Okta API
Okta + Python
 
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New Okta Event from the Okta API

Emit new event when the system observes a new event.

 
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Create User with the Okta API

Creates a new user in the Okta system. 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 User with the Okta API

Fetches the information of a specific user from the Okta system. See the documentation

 
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Update User with the Okta API

Updates the profile of a specific user in the Okta system. See the documentation

 
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Connect Okta

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    okta: {
      type: "app",
      app: "okta",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `{{custom_fields.url}}/api/v1/users`,
      headers: {
        "Authorization": `SSWS {{custom_fields.api_token}}`,
        "Accept": `application/json; okta-version=1.0.0`,
      },
      params: {
        Accept: ``,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo