Integrate the Anymail Finder API with the Python API

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

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Popular Anymail Finder and Python Actions#

Search All Emails on Company with the Anymail Finder API

Searches for most popular emails based on company information. 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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Search Email with the Anymail Finder API

Searches for emails based on company information and, optionally, a person's name.

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Overview of Anymail Finder#

The Anymail Finder API lets you find and verify email addresses. Using Anymail Finder, you can look up emails by providing a person's name and their company's domain, or simply validate if an existing email is deliverable. When used in Pipedream, this API unlocks possibilities for automating outreach, enriching customer data, or cleaning your email lists. You can set up workflows that respond to various triggers (like a new lead in your CRM) and perform email lookups or verifications, streamlining tasks that would otherwise require manual intervention.

Connect Anymail Finder#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    anymail_finder: {
      type: "app",
      app: "anymail_finder",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.anymailfinder.com/v5.0/meta/account.json`,
      headers: {
        Authorization: `Bearer ${this.anymail_finder.$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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