Integrate the Google Slides API with the Python API

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

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Popular Google Slides and Python Actions#

Create Presentation with the Google Slides API

Create a blank presentation or duplicate an existing presentation. 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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Find a Presentation with the Google Slides API

Find a presentation on Google Drive. See the docs here

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Merge Data with the Google Slides API

Merge data into a presentation. See the docs here

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Refresh a chart with the Google Slides API

Refresh a chart from Sheets. See the docs here

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Overview of Google Slides#

The Google Slides API allows you to create, read, and edit Google Slides presentations programmatically. With Pipedream's integration, you can automate your slide workflows, enabling dynamic content updates, collaboration enhancements, and streamlined reporting. By plugging into Pipedream's serverless platform, you can trigger slide creation or updates based on events from other apps, process data for presentations, and handle sharing and publishing tasks—all with minimal fuss.

Connect Google Slides#

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