Pendo

Pendo’s product experience platform allows companies to make product intelligence actionable with speed and scale, giving rise to a new generation of companies that put product at the center of everything.

Integrate the Pendo API with the Python API

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

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.

 
Try it

Overview of Pendo

The Pendo API provides a suite of endpoints that allow you to tap into user insights and product data collected by Pendo. With this API, you can automate the retrieval of visitor analytics, track feature usage, and manage guides and feedback within your application. When used within Pipedream, you can craft workflows that respond to this data in real-time, connect with other apps, and streamline your user-centric operations.

Connect Pendo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pendo: {
      type: "app",
      app: "pendo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.pendo.$auth.subdomain}.pendo.io/api/v1/report`,
      headers: {
        "x-pendo-integration-key": `${this.pendo.$auth.integration_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

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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}}