Integrate the RingCentral API with the Python API

RingCentral API is a powerful tool that allows users to build applications and
solutions that make communication easier and more convenient. With RingCentral
API, developers can build communication solutions that include voice and video,
SMS/MMS, Fax, and other features.

With RingCentral API, developers can build:

Voice and Video calls with advanced interactions, such as ringback tones,
call screening, call forwarding, call recording and conference calling.
Rich messaging applications leveraging SMS, MMS, and chat functionality.
Fax solutions, such as sending and receiving faxes through a web application.
Presence and availability services, allowing users to set their status and
view the status of other users.
Automated voice solutions such as voice recognition, voice menus and more.
Voice analytics and call quality monitoring.
Contact center solutions with the ability to monitor and manage queues.

Connect RingCentral#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ringcentral: {
      type: "app",
      app: "ringcentral",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.ringcentral.$auth.instancetype}.ringcentral.com/restapi/v1.0/account/~`,
      headers: {
        Authorization: `Bearer ${this.ringcentral.$auth.oauth_access_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#

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}}