Integrate the Google Photos API with the Python API

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

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Popular Google Photos and Python Actions#

Add Items To Album with the Google Photos API

Adds selected items to the selected album. 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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Create Album with the Google Photos API

Creates an album. See the documentation

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Get Media Item with the Google Photos API

Retrieves a media item See the documentation

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List Library Contents with the Google Photos API

Retrieves library contents See the documentation

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Overview of Google Photos#

The Google Photos API allows you to integrate with Google's photo storage and sharing service, enabling you to create powerful automations around photo and album management. You can upload photos, create and manage albums, share photos and albums, and retrieve media items. When combined with Pipedream's ability to connect to hundreds of other apps, you can craft workflows that automate digital asset management, enhance productivity, and sync data across platforms.

Connect Google Photos#

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