Integrate the Sendy API with the Python API

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

Popular Sendy and Python Actions#

Add or Update a Subscriber with the Sendy API

Adds a new subscriber or updates existing subscriber's details for a specific list. 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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Create Draft Campaign with the Sendy API

Creates a new draft campaign ready to be filled in with details. See the documentation

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Unsubscribe Email with the Sendy API

Removes a subscriber from a specified list. See the documentation

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Overview of Sendy#

The Sendy API allows you to programmatically manage email campaigns, subscribers, and lists. With Pipedream's capabilities, you can leverage Sendy API to create custom workflows that respond to events, synchronize data across platforms, and automate email marketing tasks. Pipedream provides a serverless platform where you can connect Sendy with hundreds of other apps without writing complex code, harnessing the power of Sendy's features with event-driven programming and API integration.

Connect Sendy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sendy: {
      type: "app",
      app: "sendy",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.sendy.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://sendy.email/dev2/api/brands/get-brands.php`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      data,
    })
  },
})

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}}