Integrate the ecwid API with the Python API

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

Popular Ways to Connect ecwid with Python#

Run Python Code with Python API on New Ecwid Paid Orders from ecwid API

ecwid + Python

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Popular ecwid and Python Triggers#

New Ecwid Paid Orders from the ecwid API

Search for new orders which are PAID and AWAITING_PROCESSING. Emits events for each order and sets order fulfilment status to PROCESSING

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Popular ecwid and Python Actions#

Ecwid Get Order with the ecwid API

Get Ecwid Order by Order ID. Details of the structure are present 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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Ecwid Update Order Status with the ecwid API

Update the Status of an Ecwid Order. Makes use of the Update Order API.

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Overview of ecwid#

Ecwid's API offers dynamic access to an online store's data, allowing for the automation of tasks such as inventory management, order processing, and customer data analysis. With Pipedream's serverless integration platform, you can create custom workflows that trigger actions within Ecwid or synchronize data across various other apps and services. This capability can streamline operations, save time, and reduce the likelihood of human error.

Connect ecwid#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ecwid: {
      type: "app",
      app: "ecwid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.ecwid.com/api/v3/${this.ecwid.$auth.storeId}/profile`,
      headers: {
        Authorization: `Bearer ${this.ecwid.$auth.client_secret}`,
      },
    })
  },
})

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}}