Integrate the Schedule API with the Google Cloud API

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

Popular Ways to Connect Schedule with Google Cloud#

Bigquery Insert Rows with Google Cloud API on Custom Interval from Schedule API

Schedule + Google Cloud

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Bigquery Insert Rows with Google Cloud API on Daily schedule from Schedule API

Schedule + Google Cloud

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Bigquery Insert Rows with Google Cloud API on Monthly Schedule from Schedule API

Schedule + Google Cloud

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Bigquery Insert Rows with Google Cloud API on Weekly schedule from Schedule API

Schedule + Google Cloud

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Create Bucket with Google Cloud API on Custom Interval from Schedule API

Schedule + Google Cloud

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Popular Schedule and Google Cloud Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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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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Daily schedule from the Schedule API

Trigger your workflow every day.

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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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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Popular Schedule and Google Cloud Actions#

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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List Buckets with the Google Cloud API

List Google Cloud Storage buckets, See the docs

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Overview of Schedule#

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

Automated data retrieval from a third-party service, like pulling stats from
your Salesforce account on a set schedule.
Uploading new data sets to a database with a predetermined interval.
Automatic emails to customers or leads at a certain time of the day.
Automating data analysis based on a set schedule.
Automatically optimizing social media postings according to a specified
timeline.
Updating webpages at a certain interval with newly available content.
Re-running reports on a periodic basis.
Refreshing a cache of data at a given frequency.

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.`)
  },
})