Integrate the Google Merchant Center API with the Python API

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

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Popular Ways to Connect Google Merchant Center with Python#

Run Python Code with Python API on New Product Added from Google Merchant Center API

Google Merchant Center + Python

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Popular Google Merchant Center and Python Triggers#

New Product Added from the Google Merchant Center API

Emit new event when a new product is added

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Popular Google Merchant Center and Python Actions#

Create Product with the Google Merchant Center API

Creates a product in your Google Merchant Center account. See the documentation

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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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Update Product with the Google Merchant Center API

Updates an existing product in your Google Merchant Center account. See the documentation

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Overview of Google Merchant Center#

The Google Merchant Center API allows for programmatic interaction with your Google Merchant account, enabling data uploads, fetching product status, and managing listings directly. By leveraging this API within Pipedream, you can automate numerous tasks, such as syncing inventory levels, updating pricing, or managing product information across platforms.

Connect Google Merchant Center#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_merchant_center: {
      type: "app",
      app: "google_merchant_center",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_merchant_center.$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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