Integrate the Geokeo API with the Python API

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

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Popular Geokeo and Python Actions#

Forward Geocoding with the Geokeo API

Convert address data into geographic coordinates. See the documentation

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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.

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Reverse geocoding with the Geokeo API

Convert geographic coordinates to address data. See the documentation

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Overview of Geokeo#

The Geokeo API offers geolocation services, enabling users to fetch location data based on IP addresses, perform geocoding, and reverse geocoding. With these capabilities, you can enhance applications by integrating dynamic location-based features, from auto-filling addresses to analyzing geographic data. In Pipedream, this API can be particularly powerful for automating workflows that depend on geographical information, such as customizing user experiences based on location, automating location-triggered alerts, or aggregating geographic data for analytics.

Connect Geokeo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    geokeo: {
      type: "app",
      app: "geokeo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://geokeo.com/geocode/v1/search.php`,
      params: {
        "q": `Empire State Building`,
        api: `${this.geokeo.$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}}

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