Integrate the Loops.so API with the Python API

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

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Popular Loops.so and Python Actions#

Create Contact with the Loops.so API

Creates a new 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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Delete Contact with the Loops.so API

Delete an existing contact. See the documentation

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Find Contact with the Loops.so API

Search for a contact by email address. See the Documentation

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List Custom Fields with the Loops.so API

List your account's custom contact properties. See the documentation

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Overview of Loops.so#

The Loops.so API enables you to automate repetitive tasks, create custom integrations, and manage video campaigns directly from Pipedream. It offers endpoints to manage videos, incorporate user-generated content, and track metrics. On Pipedream, you can connect Loops.so with a multitude of other services for seamless data flow across platforms, enabling efficient automation of content distribution, marketing analytics, and customer engagement workflows.

Connect Loops.so#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loops_so: {
      type: "app",
      app: "loops_so",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.loops.so/api/v1/api-key`,
      headers: {
        Authorization: `Bearer ${this.loops_so.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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