Integrate the LabsMobile API with the Python API

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

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Popular LabsMobile and Python Actions#

Send SMS with the LabsMobile API

Sends a new SMS message. 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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Overview of LabsMobile#

LabsMobile API enables seamless SMS messaging for various applications, perfect for notifications, authentication, or marketing. Through Pipedream, you can integrate LabsMobile with countless services and trigger SMS workflows using HTTP requests, scheduled jobs, or event-based setups. Pipedream's serverless platform simplifies these processes, allowing you to focus on building efficient, scalable messaging pipelines.

Connect LabsMobile#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    labsmobile: {
      type: "app",
      app: "labsmobile",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.labsmobile.com/json/balance`,
      headers: {
        "Cache-Control": `no-cache`,
      },
      auth: {
        username: `${this.labsmobile.$auth.email}`,
        password: `${this.labsmobile.$auth.api_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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