Integrate the Emailable API with the Python API

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

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Popular Emailable and Python Actions#

Verify Batch of Emails with the Emailable API

Verifies a batch of emails, up to 50,000 per batch. 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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Verify Email Address with the Emailable API

Verifies a single email address using Emailable. See the documentation

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Overview of Emailable#

The Emailable API offers robust email verification services, allowing you to improve deliverability and protect your sender reputation by validating email addresses in real-time. With Pipedream, you can integrate the Emailable API into serverless workflows, automating the process of cleaning your mailing lists, triggering actions based on email verification results, and syncing data across multiple platforms.

Connect Emailable#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    emailable: {
      type: "app",
      app: "emailable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.emailable.com/v1/verify`,
      params: {
        email: `sergio@pipekit.com`,
        api_key: `${this.emailable.$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#

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}}

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