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Connect Greenhouse to Python

Build an AI agent that works across Greenhouse and Python, on a schedule or when you click Run.

7 source actions
1 target actions

Why Connect Greenhouse & Python?

Read what you need from Greenhouse

Your agent uses Greenhouse's documented actions to pull the records it needs, each time it runs.

Run a Python action

Then it uses one of 1 documented actions, such as Run Python Code.

Test it, then put it on a schedule

Run it once on your own data and check the result. Then set it to run daily, on weekdays or weekly.

Available Triggers & Actions

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Greenhouse

Triggers (3)

New Candidate Application

Emit new event when a candidate submits a new application.

polling
New Candidate Watching

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

polling
New Scheduled Interview

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

polling

Actions (7)

Add Attachment to Candidate

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

Create Candidate

Creates a new candidate entry in Greenhouse. See the documentation

Create Prospect

Creates a new prospect entry in Greenhouse. See the documentation

List Candidate ID Options

Retrieves available options for the Candidate ID field.

List Educations Options

Retrieves available options for the Educations field.

List Job IDs Options

Retrieves available options for the Job IDs field.

List User ID Options

Retrieves available options for the User ID field.

Python logo

Python

Actions (1)

Run Python Code

Write Python and use any of the 350k+ PyPi packages available. Refer to the Mazaal AI Python docs to learn more.

Integration Features

7 documented Greenhouse actions
1 documented Python actions
Plain-English agent instructions
Daily, weekday or weekly schedule, or run on demand
Execution monitoring

Capability Examples

Greenhouse trigger → Python action

Catalog example
GreenhouseGreenhouse

New Candidate Application

PythonPython

Run Python Code

How It Works

1

Connect Apps

Authenticate your Greenhouse and Python accounts

2

Describe the Job

Say what to read from Greenhouse and what to do in Python

3

Choose an Action

Select the documented Python operation to run

Test and Review

Verify field mapping and provider responses before activation

Frequently Asked Questions

Integration Benefits

Scheduled or On-demand Runs

Runs daily, on weekdays or weekly at a set time, or when you click Run. It does not fire on live Greenhouse events yet.

Automated Actions

Use 1 documented Python actions each time the agent runs.

Provider Authentication

Review the authentication requirements published by each provider before activating the workflow.

Guided Configuration

Describe the job in plain English. The agent picks theGreenhouse and Python actions it needs.

Your Own Accounts

You connect your own Greenhouse and Python accounts. App connections need a paid plan.

Execution Review

Test the workflow and review provider responses before relying on it in production.

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All Greenhouse Integrations

Explore all available Greenhouse connections

View All Integrations
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All Python Integrations

Explore all available Python connections

View All Integrations

Ready to Connect Greenhouse & Python?

Build this agent in Mazaal AI and test it on your ownGreenhouse and Python data.

Start building

Rather not build it yourself? We set up one Greenhouse to Python agent on your accounts for A$490: a 30-minute call, a test on your real data, and 14 days of fixes. Plan billed separately. Email Enod