Integrate the Ryver API with the Python API

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

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Popular Ryver 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.

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Overview of Ryver#

The Ryver API allows you to automate interactions with the Ryver platform, a tool for team communication and task management. By leveraging the API on Pipedream, you can create custom workflows that respond to events in Ryver, send messages, manage tasks, users, and teams, or integrate with other services to extend Ryver's functionality. With Pipedream's serverless platform, you can design scalable and maintenance-free automations that react in real-time to your business needs.

Connect Ryver#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ryver: {
      type: "app",
      app: "ryver",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.ryver.$auth.domain}.ryver.com/api/1/odata.svc/users`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.ryver.$auth.email}`,
        password: `${this.ryver.$auth.password}`,
      },
    })
  },
})

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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