Integrate the Cardly API with the Python API

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

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Popular Cardly and Python Actions#

Create Contact with the Cardly API

Creates a new contact in Cardly. 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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Generate Preview with the Cardly API

Generates a preview in Cardly. See the documentation

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Send Card with the Cardly API

Send a card in Cardly. See the documentation

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Overview of Cardly#

The Cardly API empowers you to automate sending personalized cards and gifts to clients, employees, or any recipient with ease. Using Pipedream's serverless platform, you can create workflows that trigger on specific events or conditions, connecting Cardly with other apps to send out physical cards. Automate birthday greetings, thank you notes, holiday cards, or customer follow-ups with handwritten messages, leveraging the power of direct mail in a digital world.

Connect Cardly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cardly: {
      type: "app",
      app: "cardly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.card.ly/v2/account/balance`,
      headers: {
        "API-Key": `${this.cardly.$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}}

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