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.

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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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Create Scheduled Query with the Google Cloud API

Creates a scheduled query in Google Cloud. See the documentation

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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 Schedule#

The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.

Overview of Google Cloud#

The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.

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.`)
  },
})

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