Integrate the Kartra API with the Python API

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

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Popular Kartra 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 Kartra#

The Kartra API allows you to interact programmatically with Kartra's marketing automation platform. Through Pipedream, you can leverage this API to create, update, retrieve, and delete various marketing and sales assets managed by Kartra, such as leads, emails, memberships, and more. By integrating Kartra with other apps on Pipedream, you can automate complex workflows, sync data across multiple platforms, and trigger actions based on events within Kartra or external services.

Connect Kartra#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kartra: {
      type: "app",
      app: "kartra",
    }
  },
  async run({steps, $}) {
    const data = {
      "app_id": `${this.kartra.$auth.app_id}`,
      "api_key": `${this.kartra.$auth.api_key}`,
      "api_password": `${this.kartra.$auth.api_password}`,
      "lead": {
        "email": "enter_an_email_here"
      },
      "actions": [
        {
          "cmd": "search_lead"
        }
      ],
    }
    return await axios($, {
      method: "post",
      url: `https://app.kartra.com/api`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      data,
    })
  },
})

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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