RealGeeks

An affordable and flexible real estate conversion engine, built to create a lifetime of opportunities for your business

Integrate the RealGeeks API with the Python API

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

Create Lead with the RealGeeks API

Creates a new lead in Real Geeks. See the documentation

 
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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 RealGeeks

The RealGeeks API offers a gateway to RealGeeks' real estate platform, allowing you to manage leads, properties, and agents programmatically. With the RealGeeks API on Pipedream, you can automate interactions with RealGeeks, such as syncing leads with other platforms, triggering actions based on property updates, and managing CRM activities. Pipedream's serverless platform enables you to create these workflows with minimal setup, using pre-built actions or custom Node.js code steps.

Connect RealGeeks

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    realgeeks: {
      type: "app",
      app: "realgeeks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://receivers.leadrouter.realgeeks.com/rest/sites/${this.realgeeks.$auth.site_uuid}/users`,
      headers: {
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.realgeeks.$auth.username}`,
        password: `${this.realgeeks.$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

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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}}