Integrate the Marketplacer API with the Python API

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

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Popular Marketplacer 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 Marketplacer#

The Marketplacer API offers a suite of functionalities to automate and streamline operations of marketplace businesses, enabling users to manage products, orders, and vendors programmatically. With the ability to integrate into Pipedream, you can harness this API to create custom workflows that react to various triggers, sync data across different platforms, and automate repetitive tasks. Whether you're looking to update inventory, synchronize customer data, or automate communication with vendors, the Marketplacer API coupled with Pipedream's serverless execution model empowers you to build efficient and scalable e-commerce ecosystems.

Connect Marketplacer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    marketplacer: {
      type: "app",
      app: "marketplacer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.marketplacer.$auth.api_endpoint}/client/adverts`,
      headers: {
        Authorization: `Bearer ${this.marketplacer.$auth.api_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#

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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