Emelia

The only platform dedicated to Growth Marketing teams and B2B automation companies

Integrate the Emelia API with the Python API

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

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 Emelia

The Emelia API enables streamlined email campaign management directly from Pipedream. By integrating Emelia with Pipedream, you can automate email sequences, monitor campaign performance, and trigger personalized follow-ups based on recipient actions. The API's functionality allows for the creation of data-driven workflows that can interact with subscriber lists, send out scheduled emails, and provide analytics, all within the scalable environment on Pipedream.

Connect Emelia

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    emelia: {
      type: "app",
      app: "emelia",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graphql.emelia.io/graphql`,
      headers: {
        "Authorization": `${this.emelia.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      params: {
        query: `query me{
                me{
                      uid
                      name
                      email
                      picture
                  }
                }`,
      },
    })
  },
})

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}}