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.

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Thankster 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.

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#

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#

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}}

Start for free — no credit card required

Watch a demo