Integrate the Sessions API with the Python API

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

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Popular Ways to Connect Sessions with Python#

Run Python Code with Python API on New Session Ended from Sessions API

Sessions + Python

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Run Python Code with Python API on New Session Started from Sessions API

Sessions + Python

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Popular Sessions and Python Triggers#

New Session Ended from the Sessions API

Emit new event when a session ends. Useful for data processing initiation. See the documentation

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New Session Started from the Sessions API

Emit new an event when a session starts. See the documentation

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Popular Sessions 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 Sessions#

The Sessions API enables developers to handle real-time data streams and manage user sessions effectively. With Pipedream's power to integrate various services, the Sessions API can be the backbone of workflows that require managing user states across events. You can track user activities, tailor user experiences based on session data, or even trigger specific actions when certain session events occur.

Connect Sessions#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sessions: {
      type: "app",
      app: "sessions",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.app.sessions.us/api/booking-pages`,
      headers: {
        "x-api-key": `${this.sessions.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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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