Builderall Mailingboss

The Most Powerful and Complete Internet Marketing Platform on the Planet. Construct a simple web page to a complex sales funnel and everything in-between!

Integrate the Builderall Mailingboss API with the Python API

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

The Builderall Mailingboss API empowers you to automate your email marketing operations via Pipedream. You can create, update, and manage contacts and email lists, trigger email campaigns, and analyze campaign performance directly through API calls. Integrating these capabilities within Pipedream’s serverless platform enables you to connect Mailingboss with hundreds of other apps, streamlining your marketing workflows and data management.

Connect Builderall Mailingboss

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    builderall_mailingboss: {
      type: "app",
      app: "builderall_mailingboss",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://member.mailingboss.com/integration/index.php/lists/${this.builderall_mailingboss.$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

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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