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
0.17.70
Connector version
0.1.4
SDK commit
5b20f488dec0e8f29410823753106603c23a4b65
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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) |\n| Applications | [List](./REFERENCE.md#applications-list), [Get](./REFERENCE.md#applications-get) |\n| Jobs | [List](./REFERENCE.md#jobs-list), [Get](./REFERENCE.md#jobs-get) |\n| Offers | [List](./REFERENCE.md#offers-list), [Get](./REFERENCE.md#offers-get) |\n| Users | [List](./REFERENCE.md#users-list), [Get](./REFERENCE.md#users-get) |\n| Departments | [List](./REFERENCE.md#departments-list), [Get](./REFERENCE.md#departments-get) |\n| Offices | [List](./REFERENCE.md#offices-list), [Get](./REFERENCE.md#offices-get) |\n| Job Posts | [List](./REFERENCE.md#job-posts-list), [Get](./REFERENCE.md#job-posts-get) |\n| Sources | [List](./REFERENCE.md#sources-list) |\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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Show me candidates from \{company\} who applied last month - What are the top 5 sources for our job applications this quarter? - List all open jobs in the Sales department - Analyze the interview schedules for our engineering candidates this week - Get details of recent job offers for \{team_member\} - Compare the number of applications across different offices - Identify candidates who have multiple applications in our system - Show me upcoming scheduled interviews for our marketing positions - 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 API key authentication using your Greenhouse Harvest API Key from the Dev Center.
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?
Currently, the Greenhouse connector focuses on read operations. Write operations such as creating job postings, scheduling interviews, or updating candidate statuses are not supported at this time.
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.
