Dispatch

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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.

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 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

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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

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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}}