IDX Broker
IDXBroker empowers real estate agents with lead management solutions, customizable home search, and fully hosted websites.
Integrate the IDX Broker API with the Python API
Setup the IDX Broker API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IDX Broker and Python remarkably fast. Free for developers.
Popular IDX Broker 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 IDX Broker#
The IDX Broker API taps into real estate listing data, letting you craft customized property search experiences on your site. With IDX Broker and Pipedream, you can automate tasks like syncing listing data, managing leads, and updating property features. The API provides a wealth of endpoints, allowing you to query for active listings, featured properties, market reports, and more. This makes it a sturdy choice for real estate professionals wishing to streamline their digital operations.
Connect IDX Broker#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
idx_broker: {
type: "app",
app: "idx_broker",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.idxbroker.com/leads/lead`,
headers: {
"Content-Type": `application/x-www-form-urlencoded`,
"accesskey": `${this.idx_broker.$auth.access_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}}