Integrate the Kickbox API with the Python API

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

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Popular Kickbox and Python Actions#

Verify Email with the Kickbox API

Verify an email. 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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Verify Email Batch with the Kickbox API

Verify an email batch. See the documentation

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Overview of Kickbox#

The Kickbox API on Pipedream allows you to verify email addresses to improve deliverability and reduce bounce rates. With this API, you can integrate email validation into your application's signup process, maintain the hygiene of your email lists, and orchestrate workflows involving email verification with various apps supported by Pipedream. By leveraging serverless workflows, you can automate tasks like updating CRM contacts, triggering marketing campaigns, or filtering out invalid emails before sending out newsletters.

Connect Kickbox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kickbox: {
      type: "app",
      app: "kickbox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.kickbox.com/v2/verify`,
      params: {
        email: `sergio@pipekit.pro`,
        apikey: `${this.kickbox.$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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