Integrate the Google Cloud API with the Python API

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

Popular Ways to Connect Google Cloud with Python#

Run Python Code with Python API on New Pub/Sub Messages from Google Cloud API

Google Cloud + Python

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Run Python Code with Python API on BigQuery - New Row from Google Cloud API

Google Cloud + Python

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Run Python Code with Python API on BigQuery - Query Results from Google Cloud API

Google Cloud + Python

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Popular Google Cloud and Python Triggers#

New Pub/Sub Messages from the Google Cloud API

Emit new Pub/Sub topic in your GCP account. Messages published to this topic are emitted from the Pipedream source.

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BigQuery - New Row from the Google Cloud API

Emit new events when a new row is added to a table

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BigQuery - Query Results from the Google Cloud API

Emit new events with the results of an arbitrary query

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Popular Google Cloud and Python Actions#

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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Bigquery Insert Rows with the Google Cloud API

Inserts rows into a BigQuery table. See the docs and for an example here.

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Create Bucket with the Google Cloud API

Creates a bucket on Google Cloud Storage See the docs

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Get Bucket Metadata with the Google Cloud API

Gets Google Cloud Storage bucket metadata. See the docs.

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Get Object with the Google Cloud API

Downloads an object from a Google Cloud Storage bucket, See the docs

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Overview of Google Cloud#

The Google Cloud API allows developers to access a variety of Google Cloud
services from their own applications. Services that can be accessed include
Google Cloud Storage, Google Cloud Datastore, Google Cloud Functions, and
Google Cloud Pub/Sub. With the Google Cloud API, developers can build a variety
of applications that take advantage of Google Cloud services.

Connect Google Cloud#

module.exports = defineComponent({
  props: {
    google_cloud: {
      type: "app",
      app: "google_cloud",
    }
  },
  async run({steps, $}) {
    // Required workaround to get the @google-cloud/storage package
    // working correctly on Pipedream
    require("@dylburger/umask")()
    
    const { Storage } = require('@google-cloud/storage')
    
    const key = JSON.parse(this.google_cloud.$auth.key_json)
     
    // Creates a client from a Google service account key.
    // See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
    const storage = new Storage({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    
    // Uncomment this section and rename for your bucket before running this code
    // const bucketName = 'pipedream-test-bucket';
    
    await storage.createBucket(bucketName)
    console.log(`Bucket ${bucketName} created.`)
  },
})

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}}