Integrate the GetEmails API with the Python API

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

Popular GetEmails and Python Actions#

Find Email with the GetEmails API

Provide Full name of your prospect with Domain or Website and Api will provide you an email address of the prospect in response. 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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Status Find Email with the GetEmails API

Use this Api when you want to know the status of any previous find-email Api request. See the documentation.

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Verify Email with the GetEmails API

The Api verifies your requested email address, whether it is a Good or Bad email address. See the documentation.

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Overview of GetEmails#

The GetEmails API provides a means to identify anonymous traffic on your website and retrieve contact information for remarketing purposes. With this API integrated into Pipedream workflows, you can automate the process of capturing leads, enriching customer profiles, and triggering personalized communication. Pipedream’s serverless platform allows you to connect GetEmails to a vast array of services, enabling seamless data flow between lead capture and your marketing or CRM tools.

Connect GetEmails#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    getemails: {
      type: "app",
      app: "getemails",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getemail.io/v2/verif-email`,
      params: {
        api_key: `${this.getemails.$auth.api_key}`,
        email: `satyan@microsoft.com`,
      },
    })
  },
})

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}}