Integrate the GeoDB Cities API with the Python API

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

Popular GeoDB Cities and Python Actions#

Find Cities with the GeoDB Cities API

Find cities, filtering by optional criteria. If no criteria are set, you will get back all known cities with a population of at least 1000. See the docs.

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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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Get Country Details with the GeoDB Cities API

Get the details for a specific country, including number of regions. See the docs.

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Get Region Details with the GeoDB Cities API

Get the details of a specific country region, including number of cities. See the docs.

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Overview of GeoDB Cities#

The GeoDB Cities API lets you tap into a rich dataset of worldwide cities, their attributes, and related data. On Pipedream, you can use this API to create workflows that automate location-based tasks, enrich data with geographical context, or power apps with location intelligence. For instance, you could trigger a workflow whenever a new city is added to a database, gather demographic information based on city names, or even integrate with travel platforms to plan itineraries.

Connect GeoDB Cities#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    geodb_cities: {
      type: "app",
      app: "geodb_cities",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{country(id:"US"){name region(code:"CA"){name populatedPlaces(first:10){totalCount pageInfo{startCursor endCursor hasNextPage}edges{node{name}}}}}}`,
    }
    return await axios($, {
      method: "post",
      url: `http://geodb-free-service.wirefreethought.com/graphql`,
      headers: {
        "x-rapidapi-key": `${this.geodb_cities.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}