Greenhouse

Talent Acquisition suite built for structured hiring

Integrate the Greenhouse API with the Amazon SES API

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

Create Email Template with Amazon SES API on New Candidate Application from Greenhouse API
Greenhouse + Amazon SES
 
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Create Email Template with Amazon SES API on New Candidate Watching from Greenhouse API
Greenhouse + Amazon SES
 
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Create Email Template with Amazon SES API on New Scheduled Interview from Greenhouse API
Greenhouse + Amazon SES
 
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Get Email Template with Amazon SES API on New Candidate Application from Greenhouse API
Greenhouse + Amazon SES
 
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Get Email Template with Amazon SES API on New Candidate Watching from Greenhouse API
Greenhouse + Amazon SES
 
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New Candidate Application from the Greenhouse API

Emit new event when a candidate submits a new application.

 
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New Candidate Watching from the Greenhouse API

Emit new event when a candidate's application or status changes.

 
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New Scheduled Interview from the Greenhouse API

Emit new event when a new interview is scheduled within a specific time period.

 
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Add Attachment to Candidate with the Greenhouse API

Adds an attachment to a specific candidate or prospect. See the documentation

 
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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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Create Candidate with the Greenhouse API

Creates a new candidate entry in Greenhouse. See the documentation

 
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Get Email Template with the Amazon SES API

Get an email template. See the docs

 
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Create Prospect with the Greenhouse API

Creates a new prospect entry in Greenhouse. See the documentation

 
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Overview of Greenhouse

The Greenhouse API offers a powerful suite of tools for automating and enhancing the recruitment process. It allows you to programmatically access candidate information, job listings, scorecards, and scheduling details, which opens a myriad of possibilities for streamlining recruiting workflows. By leveraging the Greenhouse API on Pipedream, you can automate repetitive tasks, integrate with other HR systems, analyze recruitment data, and build custom event-driven workflows to improve the efficiency and effectiveness of your hiring process.

Connect Greenhouse

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    greenhouse: {
      type: "app",
      app: "greenhouse",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://harvest.greenhouse.io/v1/user_roles`,
      auth: {
        username: `${this.greenhouse.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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()
  },
})