Integrate the EchtPost Postcards API with the Python API

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

Popular EchtPost Postcards and Python Actions#

Create and Schedule a Postcard with the EchtPost Postcards API

This action creates and schedules a postcard for delivery. 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 Contact with the EchtPost Postcards API

Creates a new contact within the EchtPost app. See the documentation

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Overview of EchtPost Postcards#

The EchtPost Postcards API allows you to programmatically send real, physical postcards. With Pipedream's capabilities, you can automate the sending of these postcards in response to various triggers or events. Imagine crafting personalized thank you notes to customers, sending holiday greetings, or running a postcard marketing campaign completely automated with Pipedream's serverless platform.

Connect EchtPost Postcards#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    echtpost_postcards: {
      type: "app",
      app: "echtpost_postcards",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.echtpost.de/v1/contacts`,
      params: {
        apikey: `${this.echtpost_postcards.$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}}