Integrate the httpSMS API with the Python API

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

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Popular httpSMS 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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Overview of httpSMS#

The httpSMS API enables you to send SMS messages programmatically. With it, you can integrate SMS capabilities into your workflows on Pipedream. This is useful for alerting users, sending verification codes, or providing updates via text message. On Pipedream, you can connect the httpSMS API to various triggers and actions, creating automated processes that handle a multitude of SMS-related tasks.

Connect httpSMS#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    httpsms: {
      type: "app",
      app: "httpsms",
    }
  },
  async run({steps, $}) {
    const data = {
      "content": `Hello, world!`,
      "from": `${this.httpsms.$auth.sender_phone_number}`,
      "to": `${this.httpsms.$auth.sender_phone_number}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.httpsms.com/v1/messages/send`,
      headers: {
        "x-api-key": `${this.httpsms.$auth.api_key}`,
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
      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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