Integrate the commercetools API with the Python API

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

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Popular commercetools and Python Actions#

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 commercetools#

Commercetools is a flexible, cloud-based e-commerce platform offering APIs that allow you to build a wide array of custom shopping experiences. Using Pipedream, you can harness these APIs to automate various e-commerce operations, such as inventory management, order processing, and customer engagement. Its headless architecture means that you can decouple the backend from the frontend, giving you the freedom to create unique user interfaces while Pipedream manages the heavy lifting on the backend.

Connect commercetools#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    commercetools: {
      type: "app",
      app: "commercetools",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.commercetools.$auth.api_host}${this.commercetools.$auth.projectKey}/stores`,
      headers: {
        Authorization: `Bearer ${this.commercetools.$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#

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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