EasyPost

EasyPost is a Shipping API that solves complex logistics problems for eCommerce businesses.

Integrate the EasyPost API with the Python API

Setup the EasyPost API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate EasyPost 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 EasyPost

The EasyPost API simplifies the shipping process by offering a suite of tools for rate shopping, label creation, tracking, and address verification. With Pipedream, you can automate these shipping tasks, integrate with various services (like e-commerce platforms or inventory systems), and streamline your logistics operations. Pipedream lets you build serverless workflows using EasyPost’s API, enabling you to connect shipping data with other apps, react to shipment updates in real-time, and create custom notifications or reports.

Connect EasyPost

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easypost: {
      type: "app",
      app: "easypost",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.easypost.com/v2/users`,
      auth: {
        username: `${this.easypost.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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

1
2
3
4
5
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}}