Hyperlocal Demographics, Vehicle Traffic, Economic, Market Signals, and More. IdealSpot provides hyperlocal geospatial market insight and geometry data.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The IdealSpot API allows users to access valuable geolocation data to inform business decision-making. With this API, you can obtain insights on foot traffic, demographic profiles, competitive landscapes, and commercial real estate availability. It's a powerful tool for businesses looking to analyze and optimize site selection for physical locations. By leveraging the IdealSpot API on Pipedream, you can automate and enhance data-driven decisions, seamlessly integrating this rich geolocation data with other business applications, streamlining workflows, and gaining real-time market intelligence.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
idealspot: {
type: "app",
app: "idealspot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://idealspot-geodata.p.rapidapi.com/api/v1/traffic/counts/1595369397`,
headers: {
"X-RapidAPI-Key": `${this.idealspot.$auth.api_key}`,
"X-RapidAPI-Host": `idealspot-geodata.p.rapidapi.com`,
},
})
},
})
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:
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}}