Integrate the iContact API with the Python API

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

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Popular iContact 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 iContact#

The iContact API provides a programmable way to manage email marketing campaigns, contacts, lists, and messages within iContact's service. Through this API, you can automate the creation and sending of emails, manage subscribers, and track the performance of your campaigns. When used on Pipedream, the iContact API allows you to create serverless workflows that integrate with other apps and services, trigger actions based on various conditions, and automate repetitive tasks.

Connect iContact#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    icontact: {
      type: "app",
      app: "icontact",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.icontact.com/icp/a/{{YOUR_ACCOUNT_ID}}/c/{{YOUR_CLIENT_FOLDER_ID}}`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "API-Version": `2.2`,
        "API-AppId": `${this.icontact.$auth.api_app_id}`,
        "API-Username": `${this.icontact.$auth.api_username}`,
        "API-Password": `${this.icontact.$auth.api_password}`,
      },
    })
  },
})

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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