Engineering Analytics
Finance & Ops Analytics

How to load data from Greenhouse to RabbitMQ

Learn how to use Airbyte to synchronize your Greenhouse data into RabbitMQ within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Greenhouse as a source connector (using Auth, or usually an API key)
  2. set up RabbitMQ as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Greenhouse

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.

What is RabbitMQ

RabbitMQ is an open-source message broker software that enables communication between different applications and systems. It acts as a mediator between the sender and receiver of messages, ensuring that messages are delivered reliably and efficiently. RabbitMQ uses a messaging protocol called Advanced Message Queuing Protocol (AMQP) to facilitate communication between different applications. It supports multiple messaging patterns such as point-to-point, publish-subscribe, and request-reply. RabbitMQ is highly scalable and can handle large volumes of messages, making it a popular choice for enterprise-level applications. It also provides features such as message routing, message persistence, and message acknowledgments to ensure reliable message delivery.

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Prerequisites

  1. A Greenhouse account to transfer your customer data automatically from.
  2. A RabbitMQ account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Greenhouse and RabbitMQ, for seamless data migration.

When using Airbyte to move data from Greenhouse to RabbitMQ, it extracts data from Greenhouse using the source connector, converts it into a format RabbitMQ can ingest using the provided schema, and then loads it into RabbitMQ via the destination connector. This allows businesses to leverage their Greenhouse data for advanced analytics and insights within RabbitMQ, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Greenhouse as a source connector

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.

Step 2: Set up RabbitMQ as a destination connector

1. First, navigate to the RabbitMQ destination connector on Airbyte's website.
2. Click on the "Get Started" button to begin the process.
3. Fill in the required information, including the RabbitMQ server host, port, username, and password.
4. Choose the exchange type and routing key for your messages.
5. Select the format for your data, such as JSON or CSV.
6. Test the connection to ensure that it is working properly.
7. If the connection is successful, save the configuration and start syncing your data to RabbitMQ.
8. Monitor the sync to ensure that it is running smoothly and troubleshoot any issues that arise.
9. Once the sync is complete, you can use RabbitMQ to process and analyze your data as needed.

Step 3: Set up a connection to sync your Greenhouse data to RabbitMQ

Once you've successfully connected Greenhouse as a data source and RabbitMQ as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Greenhouse from the dropdown list of your configured sources.
  3. Select your destination: Choose RabbitMQ from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Greenhouse objects you want to import data from towards RabbitMQ. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Greenhouse to RabbitMQ according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your RabbitMQ data warehouse is always up-to-date with your Greenhouse data.

Use Cases to transfer your Greenhouse data to RabbitMQ

Integrating data from Greenhouse to RabbitMQ provides several benefits. Here are a few use cases:

  1. Advanced Analytics: RabbitMQ’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Greenhouse data, extracting insights that wouldn't be possible within Greenhouse alone.
  2. Data Consolidation: If you're using multiple other sources along with Greenhouse, syncing to RabbitMQ allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Greenhouse has limits on historical data. Syncing data to RabbitMQ allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: RabbitMQ provides robust data security features. Syncing Greenhouse data to RabbitMQ ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: RabbitMQ can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Greenhouse data.
  6. Data Science and Machine Learning: By having Greenhouse data in RabbitMQ, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Greenhouse provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to RabbitMQ, providing more advanced business intelligence options. If you have a Greenhouse table that needs to be converted to a RabbitMQ table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Greenhouse account as an Airbyte data source connector.
  2. Configure RabbitMQ as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Greenhouse to RabbitMQ after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
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Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
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Connectors Used

Related Syncs with Greenhouse

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Related Syncs with Greenhouse

Frequently Asked Questions

What data can you extract from Greenhouse?

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.

What data can you transfer to RabbitMQ?

You can transfer a wide variety of data to RabbitMQ. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Greenhouse to RabbitMQ?

The most prominent ETL tools to transfer data from Greenhouse to RabbitMQ include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Greenhouse and various sources (APIs, databases, and more), transforming it efficiently, and loading it into RabbitMQ and other databases, data warehouses and data lakes, enhancing data management capabilities.