Integrate the PostGrid Verify API with the Python API

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

Popular PostGrid Verify and Python Actions#

Parse Address with the PostGrid Verify API

Break an address apart into its components. 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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Verify Address with the PostGrid Verify API

Verify, standardize, and correct an address written on a single line. Ensure that you add the ISO 2-letter country code to the end of the line for best results. See the documentation.

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Overview of PostGrid Verify#

The PostGrid Verify API offers a precise method to validate and standardize postal addresses. By integrating with this API on Pipedream, you can automate the process of scrubbing address data within your apps, ensuring accuracy and deliverability. This could be critical for businesses that depend on reliable mailing operations, CRM data accuracy, or e-commerce checkout processes. Using Pipedream, you can create serverless workflows that respond to events, verify addresses on-the-fly, and connect with countless other services for enhanced data management.

Connect PostGrid Verify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    postgrid_verify: {
      type: "app",
      app: "postgrid_verify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.postgrid.com/v1/addver`,
      headers: {
        "x-api-key": `${this.postgrid_verify.$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}}