Integrate the 4Dem API with the Python API

Setup the 4Dem API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 4Dem and Python remarkably fast. Free for developers.

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Popular 4Dem and Python Actions#

Confirm Email with the 4Dem API

Confirm sender email address. 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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Create Email with the 4Dem API

Create a new email. See the documentation

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Create Sender with the 4Dem API

Create an email sender. You will need to confirm the email address used during creation. See the documentation

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Overview of 4Dem#

The 4Dem API provides robust tools for email marketing, allowing users to manage contacts, send emails, and track campaign effectiveness. Leveraging this API within Pipedream enables users to automate and integrate these email marketing capabilities with other services, enhancing productivity and personalization. Use cases range from syncing subscriber data across platforms to triggering custom email campaigns based on user behavior.

Connect 4Dem#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    _4dem: {
      type: "app",
      app: "_4dem",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.4dem.it/senders/email`,
      headers: {
        Authorization: `Bearer ${this._4dem.$auth.oauth_access_token}`,
      },
    })
  },
})

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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