EasySendy

Helping 4000+ business to deliver [NO SPAM] drip email campaigns through their website automatically. Deliver drip campaigns through your website automatically.

Integrate the EasySendy API with the Python API

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

Add Subscriber with the EasySendy API

Adds a new subscriber to an EasySendy 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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Overview of EasySendy

The EasySendy API interfaces with a flexible email marketing solution, allowing users to manage, segment, and engage with their subscribers efficiently. With Pipedream, you can harness this API to automate your email campaigns, synchronize subscriber lists, or trigger event-based email flows. It's perfect for fine-tuning your email outreach strategy with minimal manual intervention.

Connect EasySendy

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easysendy: {
      type: "app",
      app: "easysendy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `http://api.easysendy.com/ver1/listAPI`,
      params: {
        "Content-Type": `application/x-www-form-urlencoded`,
        api_key: `${this.easysendy.$auth.api_key}`,
        req_type: `allLists`,
      },
    })
  },
})

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}}