Liondesk

LionDesk is a comprehensive customer relationship management (CRM) platform designed specifically for real estate professionals, offering tools for managing leads, contacts, transactions, and communications in one centralized system.

Integrate the Liondesk API with the Python API

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

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.

 
Try it

Overview of Liondesk

The Liondesk API enables you to automate and integrate your CRM tasks, streamlining your customer relationship workflows. With this API on Pipedream, you can craft workflows that trigger actions based on events, manage contacts, send messages, and much more. Pipedream's serverless platform simplifies the process, allowing you to connect Liondesk with hundreds of other apps to automate complex tasks without writing extensive code.

Connect Liondesk

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    liondesk: {
      type: "app",
      app: "liondesk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-v2.liondesk.com/me`,
      headers: {
        Authorization: `Bearer ${this.liondesk.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}