Integrate the PostGrid Print & Mail API with the Python API

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

Popular PostGrid Print & Mail and Python Actions#

Create Contact with the PostGrid Print & Mail API

Create a new contact in PostGrid. 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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Create Letter with the PostGrid Print & Mail API

Creates a new letter in PostGrid. See the documentation

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Create Postcard with the PostGrid Print & Mail API

Creates a new postcard in PostGrid. See the documentation

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Overview of PostGrid Print & Mail#

The PostGrid Print & Mail API offers seamless print and mail solutions, enabling the automation of sending personalized letters, postcards, checks, and more. With this API, you can systematize direct mail campaigns, transactional mailings, or on-demand dispatch without managing printing infrastructure. In Pipedream, you can harness this capability to interlace PostGrid with an array of other services and triggers, creating workflows that respond to events such as form submissions, scheduled campaigns, or customer actions.

Connect PostGrid Print & Mail#

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