FinerWorks

A service for artists and photographers requiring high end giclée prints on fine art papers, as well as wood prints and canvas.

Integrate the FinerWorks API with the Python API

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

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.

 
Try it

Overview of FinerWorks

FinerWorks is an online platform that allows users to print and drop ship fine art prints and other related products. With the FinerWorks API, you can automate the process of creating orders, managing items, and integrating print-on-demand services into your business. When used in Pipedream, it unlocks possibilities for streamlining how orders are processed, integrating with other services like payment gateways or customer relationship management systems, and automating notifications for order updates.

Connect FinerWorks

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    finerworks: {
      type: "app",
      app: "finerworks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.finerworks.com/v3/list_order_status_definitions`,
      headers: {
        "web_api_key": `${this.finerworks.$auth.web_api_key}`,
        "app_key": `${this.finerworks.$auth.app_key}`,
      },
    })
  },
})

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}}