Integrate the Cloudpresenter API with the Python API

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

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Popular Ways to Connect Cloudpresenter with Python#

Run Python Code with Python API on New Contact Created from Cloudpresenter API

Cloudpresenter + Python

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Popular Cloudpresenter and Python Triggers#

New Contact Created from the Cloudpresenter API

Emit new event when a user adds a new contact in Cloudpresenter.

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Popular Cloudpresenter and Python Actions#

Create Contact with the Cloudpresenter API

Creates a new contact within the Cloudpresenter application. 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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Update Contact with the Cloudpresenter API

Updates an existing contact within the Cloudpresenter application. See the documentation

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Connect Cloudpresenter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudpresenter: {
      type: "app",
      app: "cloudpresenter",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api2.cloudpresenter.com/v1/contacts`,
      headers: {
        Authorization: `Bearer ${this.cloudpresenter.$auth.oauth_access_token}`,
        "origin": `${this.cloudpresenter.$auth.api_base_url}`,
        "workspace": `${this.cloudpresenter.$auth.workspace_id}`,
      },
    })
  },
})

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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