Integrate the FracTEL API with the Python API

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

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Popular FracTEL and Python Actions#

Call Phone with the FracTEL API

Initiates a new phone call to the provided number.

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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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Send SMS or MMS with the FracTEL API

Allows to send an SMS or MMS to a particular phone number. See the documentation

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Overview of FracTEL#

The FracTEL API enables integration of advanced telecommunications features into applications, allowing for the management of voice and messaging functionalities. This API can be particularly powerful when used on Pipedream, where it can be combined with hundreds of other apps to create robust, automated workflows. These can range from triggering calls based on specific events to automating SMS notifications for critical alerts.

Connect FracTEL#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fractel: {
      type: "app",
      app: "fractel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.fonestorm.com/v2/users/${this.fractel.$auth.email}`,
      headers: {
        "token": `${this.fractel.$auth.oauth_access_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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