Integrate the Ghost.org (Content API) API with the Python API

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

Popular Ways to Connect Ghost.org (Content API) with Python#

Run Python Code with Python API on New Author from Ghost.org (Content API) API

Ghost.org (Content API) + Python

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Popular Ghost.org (Content API) and Python Triggers#

New Author from the Ghost.org (Content API) API

Emit new event for each new author added on a site.

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Popular Ghost.org (Content API) and Python Actions#

Find author with the Ghost.org (Content API) API

Find an author. See the docs 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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Overview of Ghost.org (Content API)#

The Ghost.org (Content API) unlocks the power of content automation and integration for developers and content creators. With this API, you can programmatically access and manipulate your blog's posts, tags, authors, and settings. It's perfect for streamlining content workflows, from syncing with other platforms to analyzing and optimizing your content strategy.

Connect Ghost.org (Content API)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ghost_org_content_api: {
      type: "app",
      app: "ghost_org_content_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.ghost_org_content_api.$auth.admin_domain}/ghost/api/v3/content/posts/`,
      params: {
        key: `${this.ghost_org_content_api.$auth.content_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}}