Goodbits

Build great curated email newsletters in minutes. Collect content from the web and from popular applications such as Slack, Zapier and Buffer.

Integrate the Goodbits API with the Python API

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

The Goodbits API provides a way to extend the functionality of your email marketing efforts by allowing you to automate the creation and management of newsletters. With Pipedream, you can harness this API to craft workflows that streamline your email campaigns, such as synchronizing subscriber lists, triggering email sends based on external events, and analyzing campaign performance data. By integrating Goodbits with other apps available on Pipedream, you can build a robust, automated system that keeps your audience engaged and informed with less manual effort.

Connect Goodbits

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    goodbits: {
      type: "app",
      app: "goodbits",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.goodbits.io/api/v1/newsletter`,
      headers: {
        "Authorization": `${this.goodbits.$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