Integrate the Badger Maps API with the Python API

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

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Popular Ways to Connect Badger Maps with Python#

Run Python Code with Python API on New Check-In Created from Badger Maps API

Badger Maps + Python

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Popular Badger Maps and Python Triggers#

New Check-In Created from the Badger Maps API

Emit new event each time a new check-in is created.

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Popular Badger Maps and Python Actions#

Create Account with the Badger Maps API

Creates an account. 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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Create Check-In with the Badger Maps API

Creates a check-in. See the docs.

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Delete Account with the Badger Maps API

Deletes an account. See the docs.

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Get Account with the Badger Maps API

Gets an account. See the docs.

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Overview of Badger Maps#

The Badger Maps API offers interaction with a platform designed for field sales; it allows you to optimize routes, manage territories, and explore customer locations. Combining the Badger Maps API with Pipedream's capabilities enables the automation of sales processes, integration with CRM systems, and enhancement of data analytics. You can build workflows that respond to events in real-time, sync data across multiple platforms, and create custom triggers and actions that cater specifically to your sales strategies.

Connect Badger Maps#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    badger_maps: {
      type: "app",
      app: "badger_maps",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://badgerapis.badgermapping.com/api/2/profiles/`,
      headers: {
        "Token": `${this.badger_maps.$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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