Integrate the Dromo API with the Python API

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

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Popular Ways to Connect Dromo with Python#

Run Python Code with Python API on Import Needs Review from Dromo API

Dromo + Python

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Run Python Code with Python API on New Data Row Imported from Dromo API

Dromo + Python

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Popular Dromo and Python Triggers#

Import Needs Review from the Dromo API

Emit new event when a headless import has issues and needs a review

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New Data Row Imported from the Dromo API

Emits a new event when a headless import has been completed successfully.

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Popular Dromo and Python Actions#

Create Headless Import with the Dromo API

Creates a new headless import. See the documentation

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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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Overview of Dromo#

The Dromo API is a logistics and shipment tracking service that provides real-time data on shipments across carriers. With this API, you can tap into a vast network of shipping information, automate tracking processes, send notifications on shipment updates, and integrate your logistics data with other business systems. On Pipedream, you can create workflows that leverage the Dromo API to connect with various apps, automate shipment tracking updates, and streamline logistics processes.

Connect Dromo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dromo: {
      type: "app",
      app: "dromo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.dromo.io/api/v1/uploads/`,
      headers: {
        "X-Dromo-License-Key": `${this.dromo.$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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