Integrate the Pointerpro API with the Python API

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

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Popular Pointerpro 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 Pointerpro#

The Pointerpro API enables automated interactions with Pointerpro's survey platform, allowing developers to create, manage, and analyze surveys without manual intervention. This can streamline feedback collection and data analysis, making it easier to integrate customer insights into business processes. With Pipedream, you can leverage the Pointerpro API to build custom workflows that trigger actions in other apps, based on survey responses or other events, making your data work for you in real-time.

Connect Pointerpro#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pointerpro: {
      type: "app",
      app: "pointerpro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pointerpro.com/v1/respondents`,
      headers: {
        "Authorization": `API ${this.pointerpro.$auth.api_key}`,
        "Content-Type": `application/json`,
        "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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