IdealSpot

Hyperlocal Demographics, Vehicle Traffic, Economic, Market Signals, and More. IdealSpot provides hyperlocal geospatial market insight and geometry data.

Integrate the IdealSpot API with the Python API

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

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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 IdealSpot

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.

Connect IdealSpot

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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`,
      },
    })
  },
})

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

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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

Adyen logo
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ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo