Integrate the Rocket Chat API with the Python API

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

Popular Rocket Chat 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.

Overview of Rocket Chat#

Using the Rocket Chat API, you can build a variety of communication and
collaboration applications. Here are some examples of things you can build:

Real-time Chat and Messaging Applications
Video and Voice Calling Applications
Private Communities with Groups and Conversations
File and Document Sharing Applications
Compliance, Security, and Privacy Applications
Automated Chatbots
Integrations with External Applications and APIs
Broadcasting Applications
Custom Dashboards and Analytics
Multi-Platform Applications with Client SDKs
In-App Notification and Push Messages

Connect Rocket Chat#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rocket_chat: {
      type: "app",
      app: "rocket_chat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.rocket_chat.$auth.domain}/api/v1/permissions.listAll`,
      headers: {
        "X-Auth-Token": `${this.rocket_chat.$auth["X-Auth-Token"]}`,
        "X-User-Id": `${this.rocket_chat.$auth["X-User-Id"]}`,
      },
    })
  },
})

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}}