Integrate the Sierra Interactive API with the Python API

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

Popular Sierra Interactive 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.

Try it

Overview of Sierra Interactive#

The Sierra Interactive API offers a suite of functions geared towards real estate professionals, enabling users to manage leads, property listings, and perform various CRM-related tasks. With Pipedream's serverless platform, you can build automated workflows that leverage the Sierra Interactive API to streamline your real estate business processes. Pipedream facilitates the integration of Sierra Interactive with numerous other apps, such as Google Sheets for data storage, Slack for notifications, or Mailchimp for email marketing, to create powerful, customized solutions.

Connect Sierra Interactive#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sierra_interactive: {
      type: "app",
      app: "sierra_interactive",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sierrainteractivedev.com/users`,
      headers: {
        "Content-Type": `application/json`,
        "Sierra-ApiKey": `${this.sierra_interactive.$auth.api_key}`,
        "Sierra-OriginatingSystemName": `@PipedreamHQ/pipedream v0.1`,
      },
    })
  },
})

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}}