Coupontools

The Coupontools software hands Marketers the promotional tools to interact with their audience.

Integrate the Coupontools API with the Python API

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

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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.

 
Try it

Overview of Coupontools

The Coupontools API offers a robust set of functions for creating, managing, and tracking digital coupons and deals. With Pipedream, you can automate workflows that integrate with Coupontools to enhance customer engagement, streamline promotions, and gather insightful data on coupon usage. By leveraging Pipedream's capability to connect with various apps and services, you can create multi-step workflows that react to events, process data, and perform actions across your marketing stack.

Connect Coupontools

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    coupontools: {
      type: "app",
      app: "coupontools",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.coupontools.com/v4/subaccount/list`,
      headers: {
        "Content-Type": `application/json`,
        "X-Client-Id": `${this.coupontools.$auth.client_id}`,
        "X-Client-Secret": `${this.coupontools.$auth.client_secret}`,
      },
    })
  },
})

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}}

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo