ezeep Blue

Like printing, just better. Save hundreds of dollars per user every year, ditch print servers and printer drivers while minimizing risk to networks and printers.

Integrate the ezeep Blue API with the Python API

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

Create Print Job with the ezeep Blue API

Send a new print job to a specified printer.

 
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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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Get Print Job Status with the ezeep Blue API

Check the status of a specific print job. See the documentation

 
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List Printers with the ezeep Blue API

Retrieve a list of all available printers in the network. See the documentation

 
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Overview of ezeep Blue

The ezeep Blue API offers a cloud-based platform for managing and streamlining your printing needs, enabling you to print documents from any device, anywhere. With Pipedream's serverless integration capabilities, you can harness the ezeep Blue API to automate printing workflows, sync your print jobs with other apps, and track printing across your organization. It's all about making printing tasks simpler, more flexible, and easily integrated with your existing software stack.

Connect ezeep Blue

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ezeep_blue: {
      type: "app",
      app: "ezeep_blue",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://printapi.ezeep.com/sfapi/GetConfiguration/`,
      headers: {
        Authorization: `Bearer ${this.ezeep_blue.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}