Integrate the LiveSession API with the Python API

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

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Popular Ways to Connect LiveSession with Python#

Run Python Code with Python API on New Session from LiveSession API

LiveSession + Python

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Popular LiveSession and Python Triggers#

New Session from the LiveSession API

Emit new event when a new session is created in LiveSession. See the documentation

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Popular LiveSession 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 LiveSession#

LiveSession is an app that allows you to understand user behavior through session replays and analytics. With its API, you can retrieve session data, manage users, and more. Integrating LiveSession with Pipedream lets you automate actions based on user interactions, compile analytics, or trigger workflows in other apps based on session insights. This can be immensely valuable for support teams, product managers, and UX designers seeking to improve user experience.

Connect LiveSession#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    livesession: {
      type: "app",
      app: "livesession",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.livesession.io/v1/sessions`,
      headers: {
        Authorization: `Bearer ${this.livesession.$auth.api_token}`,
        "Content-Type": `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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