Integrate the PrintAutopilot API with the Python API

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

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Popular PrintAutopilot and Python Actions#

Add PDF to Print Autopilot Queue with the PrintAutopilot API

Uploads a PDF document to the print-autopilot queue. 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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Overview of PrintAutopilot#

The PrintAutopilot API facilitates the automation of print-on-demand services, allowing you to seamlessly create, manage, and track custom print orders right from within your Pipedream workflows. With this API, you can trigger printing and shipping of products like t-shirts, mugs, and posters as soon as a customer places an order, or batch process orders to optimize fulfillment. In Pipedream, harness these capabilities to build integrated workflows that connect PrintAutopilot with eCommerce platforms, CRM systems, or customer support tools to streamline your print-on-demand business.

Connect PrintAutopilot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    printautopilot: {
      type: "app",
      app: "printautopilot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://printautopilot.com/api/print-jobs`,
      headers: {
        Authorization: `Bearer ${this.printautopilot.$auth.connection_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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