Integrate the Blogger API with the Python API

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

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Popular Blogger and Python Actions#

Create a Post with the Blogger API

Creates and publishes a new post or creates a new post as a draft. 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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Delete a Post with the Blogger API

Permanently removes a post (the deleted post cannot be restored anymore) See the docs here.

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Publish a Post with the Blogger API

Publishes a draft post See the docs here.

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Revert a Post with the Blogger API

Revert a published or scheduled post to draft state.See the docs here.

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Overview of Blogger#

The Blogger API grants the power to manage your blog's content, comments, and settings programmatically. With Pipedream, you can automate content creation, streamline publishing workflows, and integrate your blog with a multitude of other services to expand its capabilities. Think real-time content updates from social media inputs, analytics-driven publishing, or automated content syndication. Harness the Blogger API on Pipedream to craft dynamic blogging ecosystems that respond to your audience's engagement and your creative inputs, keeping your content fresh and your operations efficient.

Connect Blogger#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blogger: {
      type: "app",
      app: "blogger",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/blogger/v3/users/self`,
      headers: {
        Authorization: `Bearer ${this.blogger.$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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