Connectors

/

Greenhouse

Data replication

Sync Greenhouse data anywhere.

Greenhouse is a software company that specializes in helping businesses acquire talent. It offers a variety of software tools and services to help businesses throughout all aspects of the hiring process, from applicant tracking systems to recruiting software. With the goal of helping businesses find and hire the ideal candidate, Greenhouse helps employers improve the efficiency and effectiveness of the recruitment and hiring process.

  • Standard
  • Generally available
  • 54 streams
  • 11 entities
Sync Greenhouse dataRead the docs
Greenhouse

One connector

Everything Greenhouse can do in Airbyte

  • Sync to your warehouse

    Land 54 Greenhouse tables in 50+ destinations on a schedule you control.

    Sync to your warehouse

    Land 54 Greenhouse tables in 50+ destinations on a schedule you control.

  • Context store search

    Query synced Greenhouse data with filters, sorting and semantic search, without spending Greenhouse API rate limits.

    Context store search

    Query synced Greenhouse data with filters, sorting and semantic search, without spending Greenhouse API rate limits.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

    Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Greenhouse once. The same connection powers scheduled syncs and runtime actions.

    One authorization

    Authenticate Greenhouse once. The same connection powers scheduled syncs and runtime actions.

Specifications

What to know before you sync Greenhouse

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version1.2.0
  • Release stageGenerally available

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. First, navigate to the Greenhouse source connector page on Airbyte.com.
  2. Click on the "Create a new connection" button.
  3. Enter a name for your connection and click "Next".
  4. Enter your Greenhouse API key in the "API Key" field.
  5. Click "Test Connection" to ensure that your credentials are correct and the connection is successful.
  6. Once the connection is successful, click "Next".
  7. Select the tables you want to replicate from Greenhouse.
  8. Choose the replication frequency and the destination where you want to send the data.
  9. Click "Create Connection" to save your settings and start replicating data from Greenhouse.
  10. It is important to note that the Greenhouse source connector on Airbyte.com allows you to replicate data from Greenhouse into your data warehouse or other destination. This can be useful for analyzing your recruiting data, tracking candidate progress, and improving your hiring process. By following the steps above, you can easily set up a connection between Greenhouse and your destination of choice, and start replicating data in just a few minutes.

54 streams

Every table you can sync from Greenhouse

  • activity_feed

  • application_stages

  • applications

  • applied_candidate_tags

  • approvals

  • approver_groups

  • approvers

  • attachments

  • candidate_educations

  • candidate_employments

  • candidates

  • close_reasons

  • custom_field_options

  • custom_fields

  • degrees

  • demographics_answer_options

  • demographics_answers

  • demographics_answers_answer_options

  • demographics_question_sets

  • demographics_question_sets_questions

  • demographics_questions

  • departments

  • disciplines

  • eeoc

  • email_templates

  • interview_kits

  • interviewer_tags

  • interviewers

  • interviews

  • job_hiring_managers

  • job_interviews

  • job_owners

  • job_posts

  • job_stages

  • jobs

  • jobs_openings

  • offers

  • offices

  • prospect_details

  • prospect_pool_stages

  • prospect_pools

  • referrers

  • rejection_details

  • rejection_reasons

  • schools

  • scorecard_candidate_attributes

  • scorecard_questions

  • scorecards

  • sources

  • tags

  • user_emails

  • user_permissions

  • user_roles

  • users

4 actions

Supported Greenhouse actions

  • List

    Read live records straight from the Greenhouse API.

  • Context Store Search

    Query synced data with filters and sorting, with no API rate limits.

  • Semantic Search

    Natural-language search across synced Greenhouse records.

  • Download

    Pull the binary contents of an attachment.

Full parameter-level details live in the Greenhouse entity reference.

Authentication

Authenticate Greenhouse once

    • Recommended

    OAuth

    Click Authenticate and approve the Greenhouse consent flow as a Site Admin. Airbyte connects through its registered Greenhouse partner application and manages the access and refresh tokens for you; you don't need Greenhouse OAuth credentials of your own.

    OAuth

    Click Authenticate and approve the Greenhouse consent flow as a Site Admin. Airbyte connects through its registered Greenhouse partner application and manages the access and refresh tokens for you; you don't need Greenhouse OAuth credentials of your own.

Use cases

What teams build with Greenhouse

List all open jobs

Show me recent interviews

Show me recent job offers

List recent applications

Show me candidates from company who applied last month

What are the top 5 sources for our job applications this quarter?

Analyze the interview schedules for our engineering candidates this week

Compare the number of applications across different offices

Identify candidates who have multiple applications in our system

Summarize the candidate pipeline for our latest job posting

Find the most active departments in recruiting this month

Explore

Related connectors

GreytHrFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
GutendexFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
HarvestFinance & Ops AnalyticsCertified Sources cloudself-managed-enterprise
HellobatonFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
HibobFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
HoorayHRFinance & Ops AnalyticsStandard Sources cloudself-managed-enterprise
All connectors

Common questions

Didn't find your answer?
Please don't hesitate to reach out.

Talk to sales

No. One Greenhouse authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.

No. Entity actions read and write through the Greenhouse API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

Greenhouse's API provides access to a wide range of data related to the recruitment process. The following are the categories of data that can be accessed through the API:

1. Candidates: Information about candidates who have applied for a job, including their name, contact details, resume, and application status.

2. Jobs: Details about the job openings, including the job title, location, department, and job description.

3. Applications: Information about the applications submitted by candidates, including the date of submission, the source of the application, and the status of the application.

4. Interviews: Details about the interviews scheduled with candidates, including the date, time, location, and interviewer.

5. Offers: Information about the job offers made to candidates, including the salary, benefits, and start date.

6. Users: Details about the users who have access to the Greenhouse account, including their name, email address, and role.

7. Departments: Information about the departments within the organization, including the name, description, and manager.

8. Sources: Details about the sources of the candidates, including job boards, referrals, and social media.

Overall, Greenhouse's API provides a comprehensive set of data that can be used to streamline the recruitment process and make data-driven decisions.

1. First, navigate to the Greenhouse source connector page on Airbyte.com.

2. Click on the "Create a new connection" button.

3. Enter a name for your connection and click "Next".

4. Enter your Greenhouse API key in the "API Key" field.

5. Click "Test Connection" to ensure that your credentials are correct and the connection is successful.

6. Once the connection is successful, click "Next".

7. Select the tables you want to replicate from Greenhouse.

8. Choose the replication frequency and the destination where you want to send the data.

9. Click "Create Connection" to save your settings and start replicating data from Greenhouse.

It is important to note that the Greenhouse source connector on Airbyte.com allows you to replicate data from Greenhouse into your data warehouse or other destination. This can be useful for analyzing your recruiting data, tracking candidate progress, and improving your hiring process. By following the steps above, you can easily set up a connection between Greenhouse and your destination of choice, and start replicating data in just a few minutes.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Start moving Greenhouse data today

Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Greenhouse actions.

Try it freeTalk to sales