Integrate the Loopify API with the Python API

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

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Popular Loopify and Python Actions#

Add Contact To New Entry with the Loopify API

Adds a contact to an API Entry block in a Loopify flow. 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 Or Update Contact with the Loopify API

Creates or updates a contact in Loopify. If the contact exists, it will be updated; otherwise, a new contact will be created. See the documentation

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Overview of Loopify#

Loopify API in Pipedream opens doors to creative marketing automation and communication flows. With its suite of tools, you can craft personalized emails, manage campaigns, and handle customer data. Pipedream's serverless platform empowers you to build workflows that react to events in Loopify or to connect with other services, making tasks more streamlined. Whether you're syncing subscriber lists, triggering email sequences, or analyzing campaign performance, Pipedream makes these integrations seamless and scalable.

Connect Loopify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loopify: {
      type: "app",
      app: "loopify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.loopify.com/users`,
      headers: {
        Authorization: `Bearer ${this.loopify.$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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