Google Cloud

The Google Cloud Platform, including BigQuery

Integrate the Google Cloud API with the Amazon SES API

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

Create Email Template with Amazon SES API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Amazon SES
 
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Get Email Template with Amazon SES API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Amazon SES
 
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Send Email with Amazon SES API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Amazon SES
 
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Send Templated Email with Amazon SES API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Amazon SES
 
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Update Email Template with Amazon SES API on New Pub/Sub Messages from Google Cloud API
Google Cloud + Amazon SES
 
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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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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

 
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Get Email Template with the Amazon SES API

Get an email template. See the docs

 
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Send Email with the Amazon SES API

Send an email using Amazon SES. Supports simple email messaging. See the docs

 
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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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Send Templated Email with the Amazon SES API

Send an email replacing the template tags with values using Amazon SES. See the docs

 
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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

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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.`)
  },
})

Overview of Amazon SES

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES

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module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})