Integrate the Countdown API API with the Python API

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

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Popular Countdown API and Python Actions#

Get Product Data with the Countdown API API

Retrieves data for a specific product on eBay using the Countdown API. 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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Get Product Reviews with the Countdown API API

Retrieves customer reviews for a specific product on eBay. See the documentation

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Get Search Results from eBay with the Countdown API API

Retrieves search results from eBay. See the documentation

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Overview of Countdown API#

The Countdown API provides a simple way to create and manage countdowns to specific events or deadlines. Integrating this API with Pipedream allows for the creation of dynamic serverless workflows that can react to time-sensitive triggers. Whether it's sending reminders, updating statuses, or triggering events as deadlines approach, Pipedream's ability to connect to hundreds of apps gives you the flexibility to craft custom solutions around your countdowns.

Connect Countdown API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    countdown_api: {
      type: "app",
      app: "countdown_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.countdownapi.com/request`,
      params: {
        api_key: `${this.countdown_api.$auth.api_key}`,
        search_term: `Charizard`,
        ebay_domain: `ebay.com`,
        type: `search`,
      },
    })
  },
})

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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