Give agents tools for secure, real-time access to fetch, search, write, and sync across every system, with replication, entity mapping, and auth built-in.
About this Connector
Greenhouse is an applicant tracking system (ATS) that helps companies manage their hiring process. This connector provides access to candidates, applications, jobs, offers, users, departments, offices, job posts, sources, and scheduled interviews for recruiting analytics and talent acquisition insights.
CRM
Sales Analytics
Customer Data
Version Information
Package version
0.17.101
Connector version
0.1.6
SDK commit
cb4380e76ac5cbc67b9089f94522be1bbe9f8d73
Support Open Source
Check us out on Github and join the Airbyte community
Installation & Usage
1
Install Package
Using uv or pip
bash
uv pip install airbyte-agent-greenhouse
2
Import
Initialize and use
python
from airbyte_agent_greenhouse import GreenhouseConnector
from airbyte_agent_greenhouse.models import GreenhouseAuthConfig
connector = GreenhouseConnector(
auth_config=GreenhouseAuthConfig(
api_key="<Your Greenhouse Harvest API Key from the Dev Center>"
)
)3
Tool
Add tools to your agent
python
@agent.tool_plain # assumes you're using Pydantic AI
@GreenhouseConnector.tool_utils
async def greenhouse_execute(entity: str, action: str, params: dict | None = None):
return await connector.execute(entity, action, params or {})Supported Entities & Actions
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| Entity | Actions |\n|--------|---------|\n| Candidates | [List](./REFERENCE.md#candidates-list), [Get](./REFERENCE.md#candidates-get), [Search](./REFERENCE.md#candidates-search) |\n| Applications | [List](./REFERENCE.md#applications-list), [Get](./REFERENCE.md#applications-get), [Search](./REFERENCE.md#applications-search) |\n| Jobs | [List](./REFERENCE.md#jobs-list), [Get](./REFERENCE.md#jobs-get), [Search](./REFERENCE.md#jobs-search) |\n| Offers | [List](./REFERENCE.md#offers-list), [Get](./REFERENCE.md#offers-get), [Search](./REFERENCE.md#offers-search) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get), [Search](./REFERENCE.md#users-search) |\n| Departments | [List](./REFERENCE.md#departments-list), [Get](./REFERENCE.md#departments-get), [Search](./REFERENCE.md#departments-search) |\n| Offices | [List](./REFERENCE.md#offices-list), [Get](./REFERENCE.md#offices-get), [Search](./REFERENCE.md#offices-search) |\n| Job Posts | [List](./REFERENCE.md#job-posts-list), [Get](./REFERENCE.md#job-posts-get), [Search](./REFERENCE.md#job-posts-search) |\n| Sources | [List](./REFERENCE.md#sources-list), [Search](./REFERENCE.md#sources-search) |\n| Scheduled Interviews | [List](./REFERENCE.md#scheduled-interviews-list), [Get](./REFERENCE.md#scheduled-interviews-get) |\n| Application Attachment | [Download](./REFERENCE.md#application-attachment-download) |\n| Candidate Attachment | [Download](./REFERENCE.md#candidate-attachment-download) |
Example Prompts
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List all open jobs - Show me upcoming interviews this week - 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
Why Airbyte for AI Agents?
Built for production AI workloads with enterprise-grade reliability
Agent-Native Design
Structured, LLM-friendly schemas optimized for AI agent consumption with natural language query support.
Secure Authentication
Built-in OAuth 2.0 handling with automatic token refresh. No hard-coded credentials.
Production Ready
Battle-tested connectors with comprehensive error handling, logging, and retry logic.
Open Source
Fully open source under the MIT license. Contribute, customize, and extend freely.
Works with your favorite frameworks
🦜
LangChain
🦙
LlamaIndex
🤖
CrewAI
⚡
AutoGen
🧠
OpenAI Agents SDK
🔮
Claude Agents SDK
Frequently Asked Questions
Didn't find your answer? Please don't hesitate to reach out.
The Greenhouse connector supports direct API key authentication using your Greenhouse Harvest API Key from the Dev Center. In hosted mode, it also supports Airbyte Cloud authentication via client ID and client secret, with an optional organization ID for multi-org clients.
Can I use this connector with any AI agent framework?
The connector is compatible with any Python-based AI agent framework including LangChain, LlamaIndex, CrewAI, Pydantic AI, and custom implementations.
Does this connector support write operations?
No, the Greenhouse connector currently supports read operations only. Write operations such as creating job postings, scheduling interviews, updating application statuses, deleting candidate profiles, sending offer letters, or editing job descriptions are not supported.
How is this different from the Airbyte data connector?
Agent connectors are specifically designed for AI agents and LLM applications. They provide natural language interfaces, optimized response formats, and seamless integration with agent frameworks, unlike traditional ETL-focused connectors.
Will there be a platform for agent connectors?
The hosted version with secure credential storage through Airbyte Cloud is already available. See the hosted usage section in the documentation for setup instructions.