Cyberimpact

Cyberimpact is an email marketing solution. Send professional emails in just a few clicks. Simple, affordable and efficient, Cyberimpact will help you increase customer loyalty and drive sales.

Integrate the Cyberimpact API with the Python API

Setup the Cyberimpact API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Cyberimpact 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 Cyberimpact

The Cyberimpact API allows for the seamless integration of email marketing tools into your custom workflows, enabling automation of contact management, campaign tracking, and subscriber interaction. Using this API with Pipedream, you can automate the sync of subscriber lists, trigger email campaigns based on specific actions, and analyze campaign performances, all within a serverless environment. This can significantly cut the time spent on routine marketing tasks and enhance the efficiency and effectiveness of your marketing strategies.

Connect Cyberimpact

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cyberimpact: {
      type: "app",
      app: "cyberimpact",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.cyberimpact.com/ping`,
      headers: {
        Authorization: `Bearer ${this.cyberimpact.$auth.api_token}`,
      },
    })
  },
})

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