Integrate the TeleSign API with the Python API

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

Popular TeleSign 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.

Try it

Overview of TeleSign#

The TeleSign API furnishes developers with tools for communication and security. You can send SMS messages, voice alerts, and leverage phone number intelligence for risk assessments. Within Pipedream, you can integrate TeleSign to automate notifications, verification, and fraud prevention processes. It fosters real-time, event-driven actions, such as sending an SMS when a new user signs up, or assessing the risk of a transaction based on phone number data.

Connect TeleSign#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    telesign: {
      type: "app",
      app: "telesign",
    }
  },
  async run({steps, $}) {
    const data = {
      "phone_number": ``,
      "message": ``,
      "message_type": ``,
    }
    return await axios($, {
      method: "post",
      url: `https://rest-ww.telesign.com/v1/messaging`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      auth: {
        username: `${this.telesign.$auth.customer_id}`,
        password: `${this.telesign.$auth.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}}