Integrate the Geocodio API with the Python API

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

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Popular Geocodio and Python Actions#

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.

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Overview of Geocodio#

Geocodio is a tool for geocoding and reverse geocoding addresses into coordinates, or vice versa. It's a powerhouse for location data transformation, crucial for businesses needing to analyze spatial information, visualize location data on maps, or automate location-based notifications. With Pipedream's serverless platform, one can harness Geocodio's API to create dynamic and responsive workflows that react to events in real time, such as updating a map with real-time delivery locations or triggering alerts based on geographical areas.

Connect Geocodio#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    geocodio: {
      type: "app",
      app: "geocodio",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.geocod.io/v1.4/geocode`,
      params: {
        api_key: `${this.geocodio.$auth.api_key}`,
        "q": `1109+N+Highland+St%2c+Arlington+VA`,
      },
    })
  },
})

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}}

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