REIPro
REIPro is the worlds first ever Real Estate Investor Software that walks you through the entire deal… step-by-step.
Integrate the REIPro API with the Python API
Setup the REIPro API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate REIPro and Python remarkably fast. Free for developers.
Popular REIPro and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of REIPro#
The REIPro API provides a suite of tools designed for real estate investors and professionals, enabling access to a wealth of property data, lead management, and marketing campaign functionalities. Leveraging the REIPro API within Pipedream, users can automate multifaceted real estate tasks, from syncing property information to various platforms, managing leads effectively, to executing timely follow-ups and nurturing campaigns. The API's capabilities can be harnessed to streamline operations, improve data accuracy, and connect various stages of the real estate investment lifecycle for enhanced decision-making and efficiency.
Connect REIPro#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
reipro: {
type: "app",
app: "reipro",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.myreipro.com/api/VerifyApiKey`,
params: {
ApiKey: `${this.reipro.$auth.api_key}`,
},
})
},
})
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}}