Thankster

Automatically mail handwritten cards for CRM, marketing automation, etc.

Integrate the Thankster API with the Python API

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

The Thankster API lets you automate the sending of personalized, handwritten cards. This is particularly handy for businesses looking to scale their outreach while keeping a personal touch. With Pipedream, you can craft workflows that trigger card creation and dispatch based on various events and conditions. Whether it's a customer's birthday, a follow-up after a service, or a thank you note for a purchase, Pipedream's serverless platform enables you to set up these actions without setting up and managing infrastructure.

Connect Thankster

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    thankster: {
      type: "app",
      app: "thankster",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://www.thankster.com/api/v1/api_projects/listCards`,
      params: {
        api_key: `${this.thankster.$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

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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}}