OptimoRoute

OptimoRoute plans and optimizes routes and schedules for delivery and field service businesses.

Integrate the OptimoRoute API with the Python API

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

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.

 
Try it

Overview of OptimoRoute

The OptimoRoute API offers a range of functionalities for route optimization and workforce management. By tapping into this API via Pipedream, you can automate complex logistics and delivery operations, scheduling, and real-time order tracking. Leverage the power of serverless workflows to integrate OptimoRoute with other apps, streamlining your dispatch, improving delivery times, and maximizing efficiency. Whether you're planning routes for a fleet of vehicles or scheduling service appointments, the OptimoRoute API provides the data you need to make decisions on-the-fly.

Connect OptimoRoute

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    optimoroute: {
      type: "app",
      app: "optimoroute",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.optimoroute.com/v1/get_events`,
      params: {
        key: `${this.optimoroute.$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

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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}}