Integrate the LoopMessage API with the Python API

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

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Popular Ways to Connect LoopMessage with Python#

Run Python Code with Python API on New Alert Received (Instant) from LoopMessage API

LoopMessage + Python

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Popular LoopMessage and Python Triggers#

New Alert Received (Instant) from the LoopMessage API

Emit new event when an alert is received via webhook. See the documentation

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Popular LoopMessage 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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Send Reaction with the LoopMessage API

Action to submit your request to the sending queue. When a request in the queue will be ready to send a reaction in iMessage, an attempt will be made to deliver it to the recipient. See the documentation

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Send Text Message with the LoopMessage API

Action to send a text in iMessage to an individual recipient. See the documentation

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Overview of LoopMessage#

The LoopMessage API offers you the ability to send, receive, and manage messages within your applications. Through Pipedream's integration, you can harness this API to automate communication processes, organize message flows, and even connect to various data sources or other APIs to create complex messaging workflows. With Pipedream, you can trigger actions based on events, schedule messages, and interact with users in real-time without managing servers or infrastructure.

Connect LoopMessage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loopmessage: {
      type: "app",
      app: "loopmessage",
    }
  },
  async run({steps, $}) {
    const data = {
      "contact": `test@google.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://lookup.loopmessage.com/api/v1/contact/lookup/`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.loopmessage.$auth.authorization_key}`,
        "Loop-Secret-Key": `${this.loopmessage.$auth.secret_api_key}`,
      },
      data,
    })
  },
})

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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