Integrate the HERE API with the Python API

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

Popular Ways to Connect HERE with Python#

Run Python Code with Python API on Weather for ZIP Code from HERE API

HERE + Python

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Popular HERE and Python Triggers#

Weather for ZIP Code from the HERE API

Emits the weather report for a specific ZIP code on a schedule

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Popular HERE 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 HERE#

The HERE API provides a suite of location-based services including maps, geocoding, places, routing, and traffic. With Pipedream, you can automate workflows that require real-time location intelligence. For instance, enhance logistics with dynamic routing, personalize customer interactions with geolocation data, or monitor assets by integrating location updates into your systems.

Connect HERE#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    here: {
      type: "app",
      app: "here",
    }
  },
  async run({steps, $}) {
    // Returns a sample set of weather observations for Berlin
    // See https://developer.here.com/documentation/weather/dev_guide/topics/example-weather-observation.html
    
    return await axios($, {
      url: `https://weather.ls.hereapi.com/weather/1.0/report.json?apiKey=${this.here.$auth.apikey}&product=observation&name=Berlin-Tegel`,
    })
  },
})

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}}

Community Posts#

Integrating Location Data into Pipedream Workflows

Over the past few months, I've become somewhat enamored with a new service called Pipedream. Pipedream is yet another serverless solution with a bit of a twist. It makes it easy to build workflows by piecing together various actions like LEGO bricks. These actions are small pieces of programming logic that cover a wide variety of different services. You can connect these actions together along with the ability to write Node code for your own logic.