Printavo

Printavo is an easy to use, cloud-based tool for print, embroidery, promotional product and sign shops to manage their shop.

Integrate the Printavo API with the Python API

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

Create Customer with the Printavo API

Create a new customer. See the 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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Delete Customer with the Printavo API

Delete a customer. See the docs here

 
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Search Customers with the Printavo API

Search customers. See the docs here

 
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Update Customer with the Printavo API

Update a new customer. See the docs here

 
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Overview of Printavo

The Printavo API allows for the automation of print shop management tasks, enabling users to streamline their operations by integrating their Printavo account with various other apps and services. With Pipedream's serverless platform, you can create workflows that trigger actions in Printavo or respond to events from Printavo, such as updating order statuses, syncing customer data, or automating notifications and reminders, all without writing complex code.

Connect Printavo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    printavo: {
      type: "app",
      app: "printavo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.printavo.com/api/v1/accounts`,
      params: {
        token: `${this.printavo.$auth.api_token}`,
        email: `${this.printavo.$auth.email}`,
      },
    })
  },
})

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}}