What do you want to automate
with RentCast and Python?
Prompt, edit and deploy AI agents that connect to RentCast, Python and 2,900+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular RentCast and Python Actions#
Search for rental listings in a geographical area, or by a specific address. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get aggregate rental statistics and listing trends for a single US zip code. See the documentation
Get a property rent estimate and comparable properties. See the documentation
Connect RentCast#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rentcast: {
type: "app",
app: "rentcast",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rentcast.io/v1/properties/random`,
headers: {
"accept": `application/json`,
"X-Api-Key": `${this.rentcast.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies