Integrate the Google Photos API with the Python API

Google Photos is a photo sharing and storage service developed by Google. It
was announced at the Google I/O conference on May 28, 2015. It allows users to
store, share, and edit photos and videos. The service also provides a suite of
tools for developers to build photo-sharing applications.

The Google Photos API provides a set of tools that developers can use to build
applications that enable users to share and edit photos and videos. The API
lets developers create, view, and edit albums, photos, and videos; upload and
download photos and videos; and search for photos and videos.

Albums, photos, and videos can be shared with other users, and users can add
comments to photos and videos. The API also provides a set of tools for
developers to build photo-sharing applications.

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}