Integrate the Dispatch API with the Python API

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

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Popular Dispatch 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 Dispatch#

The Dispatch API provides a powerful mechanism to streamline logistics and delivery operations. By leveraging it through Pipedream, businesses can automate the scheduling and tracking of dispatches, facilitating real-time coordination between dispatchers, drivers, and customers. This can lead to more efficient route planning, faster delivery times, and improved communication, all of which contribute to a better overall experience for both the provider and the end-user.

Connect Dispatch#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dispatch: {
      type: "app",
      app: "dispatch",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.dispatchit.com/api/external/v1/organizations`,
      headers: {
        "Accept": `*/*`,
        "Content-Type": `application/json`,
      },
      auth: {
        username: `${this.dispatch.$auth.api_key}`,
        password: `${this.dispatch.$auth.api_token}`,
      },
    })
  },
})

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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