Integrate the Lob API with the Python API

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

Popular Lob and Python Actions#

Cancel Postcard with the Lob API

Completely removes a postcard from production. This can only be done if the postcard has a send_date and the send_date has not yet passed. See docs here.

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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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Create Letter with the Lob API

Creates a new letter. See docs here.

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Create Postcard with the Lob API

Creates a new postcard given information. See docs here.

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List Postcards with the Lob API

Returns a list of your postcards. See docs here.

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Overview of Lob#

The Lob API provides a suite of automation capabilities focused on direct mail, address verification, and print management. With Lob, you can automate the sending of physical mail programmatically, verify addresses to ensure deliverability, and manage printing logistics for marketing campaigns or operational needs. It's a powerful tool for bridging the digital and physical mailing worlds, particularly useful for marketing, billing, and compliance communications.

Connect Lob#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lob: {
      type: "app",
      app: "lob",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lob.com/v1/addresses`,
      auth: {
        username: this.lob.$auth.secret_api_key,
        password: ''
      },
    })
  },
})

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}}