Integrate the IMAP API with the Python API

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

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Popular Ways to Connect IMAP with Python#

Run Python Code with Python API on New Email from IMAP API

IMAP + Python

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Popular IMAP and Python Triggers#

New Email from the IMAP API

Emit new event for each new email in a mailbox

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Popular IMAP and Python Actions#

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 IMAP#

Using Pipedream's IMAP API, developers can automate interactions with their email inbox, enabling serverless workflows that perform actions based on incoming emails. This could include parsing email contents, triggering events upon receiving emails from specific senders, attaching labels, and much more. By leveraging IMAP, Pipedream can act as a bridge between your email and other services, streamlining processes that would otherwise require manual intervention.

Connect IMAP#

import { once } from "events";
import imaps from "imap-simple";
import cycle from "cycle";

export default defineComponent({
  props: {
    imap: {
      type: "app",
      app: "imap",
    }
  },
  async run({steps, $}) {
    const { host, port, email, password } = this.imap.$auth;

    const connection = await imaps.connect({
      imap: {
        host,
        port,
        user: email,
        password,
        tls: true,
        tlsOptions: { servername: host },
        authTimeout: 3000
      },
    });

    const boxes = await connection.getBoxes();
    // Filter out circular references to parents
    const filteredBoxes = cycle.decycle(boxes);
    $.export("results", filteredBoxes);

    connection.end();
    await once(connection.imap, "end");
  },
})

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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