Integrate the Mapulus API with the Python API

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

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Popular Ways to Connect Mapulus with Python#

Run Python Code with Python API on New Location Added from Mapulus API

Mapulus + Python

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Run Python Code with Python API on New Map Added from Mapulus API

Mapulus + Python

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Popular Mapulus and Python Triggers#

New Location Added from the Mapulus API

Emit new event when a new location is added.

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New Map Added from the Mapulus API

Emit new event when a new map is added.

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Popular Mapulus and Python Actions#

Create Location with the Mapulus API

Create a new location in Mapulus. 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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Update Location with the Mapulus API

Updates an existing location in Mapulus. See the documentation

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Overview of Mapulus#

Mapulus API enables you to integrate advanced mapping, routing, and geospatial capabilities into your applications. With Pipedream, you can create powerful workflows that leverage the Mapulus API to automate tasks such as generating optimized routes, geocoding addresses, or analyzing geographic data. By connecting Mapulus to other apps available on Pipedream, you can enrich your business processes, enhance data analytics, or create dynamic location-based services without writing code.

Connect Mapulus#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mapulus: {
      type: "app",
      app: "mapulus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mapulus.com/api/v1/maps`,
      headers: {
        Authorization: `Bearer ${this.mapulus.$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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