Integrate the Constant Contact API with the Python API

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

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Popular Ways to Connect Constant Contact with Python#

Run Python Code with Python API on New Contact Added from Constant Contact API

Constant Contact + Python

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Popular Constant Contact and Python Triggers#

New Contact Added from the Constant Contact API

Emit new event when a new contact is created.

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Popular Constant Contact and Python Actions#

Add Contact with the Constant Contact API

Add a single contact. 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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Remove Contact with the Constant Contact API

Delete a specific contact identified by contact_id. See the documentation

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Update Contact with the Constant Contact API

Update an existing contact. See the documentation

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Overview of Constant Contact#

The Constant Contact API allows users to automate email marketing efforts by managing contacts, sending emails, and tracking results. With Pipedream, you can connect Constant Contact to other apps to create powerful workflows. You can trigger events, sync contact lists, automate email campaigns, and analyze email performance with ease. Pipedream's serverless platform offers a streamlined approach to integrating Constant Contact's functionalities into diverse, automated sequences.

Connect Constant Contact#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    constant_contact: {
      type: "app",
      app: "constant_contact",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cc.email/v3/account/summary`,
      headers: {
        Authorization: `Bearer ${this.constant_contact.$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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