Plivo

SMS API and Voice API platform

Integrate the Plivo API with the Python API

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

Run Python Code with Python API on New Completed Call from Plivo API
Plivo + Python
 
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Run Python Code with Python API on New SMS Received (Instant) from Plivo API
Plivo + Python
 
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New Completed Call from the Plivo API

Emit new event when a call is completed. See the docs.

 
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New SMS Received (Instant) from the Plivo API

Emit new event when a new SMS is received. See the docs.

 
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Make A Call with the Plivo API

Makes a call. See the docs.

 
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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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Plays An Audio with the Plivo API

Plays audio on a call. See the docs.

 
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Send MMS with the Plivo API

Sends an MMS message to a phone number. See the docs.

 
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Send SMS with the Plivo API

Sends an SMS message to a phone number. See the docs.

 
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Overview of Plivo

The Plivo API provides a powerful platform for developers to create powerful and innovative telecommunications applications. With the API, developers can build anything from a simple IVR to voice bots and SIP Trunks. Whether you want to create a cloud-based VoIP solution or a custom PBX, the Plivo API makes it possible.

Some of the top applications that you can build with the Plivo API are:

  • IVR (Interative Voice Response): Create a voice interface for customers to access information on demand.
  • Voice Bots: Build AI-powered voice bots to interact with users on automated calls.
  • SIP Trunks: Create virtual telephone lines to connect with existing PBX systems.
  • Cloud Telephony Platform: Build a cloud-based VoIP solution for use with web and mobile apps.
  • Event-Driven Telephony: Create powerful apps that respond to events on the call.
  • Multi-channel Messaging: Send and receive text messages, voice broadcasts, and other multimedia messages.
  • Call Analytics and Recording: Monitor the performance of your calls and record conversations for compliant purposes.
  • Call Flow Builder: Design custom call flows using an easy-to-use drag-and-drop interface.
  • Number Management: Manage multiple phone numbers and toll-free numbers across a range of countries.

Connect Plivo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    plivo: {
      type: "app",
      app: "plivo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.plivo.com/v1/Account/${this.plivo.$auth.auth_id}/Message/`,
      auth: {
        username: `${this.plivo.$auth.auth_id}`,
        password: `${this.plivo.$auth.auth_token}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}