Google Cloud

The Google Cloud Platform

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.

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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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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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

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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.`)
  },
})

Connect Python

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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}}