Integrate the USPS API with the Python API

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

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Popular USPS 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 USPS#

The USPS API provides various functionalities such as tracking shipments, calculating shipping prices, and scheduling pickups, making it a valuable tool for automating logistics and e-commerce operations. Integrating the USPS API with Pipedream allows you to create serverless workflows that can enhance how you manage shipping tasks, alert systems, or update order statuses in real-time, without needing to manage infrastructure.

Connect USPS#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    usps: {
      type: "app",
      app: "usps",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://secure.shippingapis.com/ShippingAPI.dll?API=Verify`,
      params: {
        XML: `<AddressValidateRequest USERID="${this.usps.$auth.username}"><Revision>1</Revision>
    <Address ID="{your_address_id}">
    <Address1>{your_address_1}</Address1>
    <Address2>{your_address_2}</Address2>
    <City/>
    <State>{your_state}</State>
    <Zip5>{your_zip5}</Zip5>
    <Zip4/>
    </Address>
    </AddressValidateRequest>`,
      },
    })
  },
})

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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