Greenhouse
Unclaimed verified 29 oct 2026The only hiring platform you’ll ever need
TL;DR
Greenhouse is a premier enterprise applicant tracking system (ATS) and hiring platform designed to manage the end-to-end recruitment lifecycle. Built for mid-market and enterprise talent teams, its key differentiator is its structured hiring methodology centered on scorecards and bias-reducing interview workflows.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Greenhouse holds a dominant position in the recruitment software market, serving thousands of high-growth and enterprise companies. Its foundational philosophy of structured hiring—utilizing standardized interview plans, explicit evaluation criteria, and objective scorecard assessments—provides teams with predictable, defensible hiring operations at scale. The platform's primary strength is its extensive integration ecosystem and customizable workflow governance. With hundreds of pre-built integrations spanning HRIS platforms, background screening services, sourcing tools, and e-signature solutions, Greenhouse serves as an effective operational hub for modern talent acquisition. However, Greenhouse carries trade-offs compared to newer AI-native ATS challengers like Ashby. The administrative interface and custom field management can be rigid and complex to configure. In addition, essential features such as developer sandboxes, custom object schemas, and advanced reporting are locked behind higher-tier enterprise plans with opaque pricing. Greenhouse is best suited for mid-market to enterprise companies with dedicated recruiting operations teams that require rigorous governance, compliance, and deep connectivity across their HR tech stack.
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Pros
- + Rigorous structured hiring workflows and scorecard enforcement reduce evaluation bias
- + Extensive partner integration catalog across HRIS, sourcing, e-signatures, and AI assessment tools
- + Clear candidate pipeline visibility and centralized recruiter-to-candidate communication history
- + Robust role-based permissioning, audit tracking, and enterprise-grade scalability
Cons
- - Opaque enterprise pricing model with sandbox environments and custom fields gated to higher tiers
- - Complex administrative overhead and template configuration with a steep learning curve
- - Native reporting and analytics can feel rigid and unintuitive for ad-hoc business intelligence
- - Webhook coverage has gaps around granular interview scheduling and internal candidate note creation
Agent Readiness
80/100Greenhouse is highly capable for autonomous AI agents and programmatic recruiting workflows. It offers a comprehensive Harvest REST API with OpenAPI specifications, HMAC-SHA256 authenticated webhooks, and modern Model Context Protocol (MCP) server support for AI agents. However, developer sandboxes require upper-tier subscriptions, and specific granular events (like interview rescheduling) still require polling rather than push webhooks.
Last checked Oct 15, 2026
MCP Integrations
7 servers5 toolsGreenhouse MCP Pack — wraps the Greenhouse Harvest API v1
Live job listings for AI agents from company job boards on Greenhouse, Lever, Ashby, Workable, Recruitee and Teamtailor, with salary normalised to min, max, currency and period. Give company board URLs, careers pages or domains; the hiring system is detected automatically. Filter by title, location, remote and posting date, or monitor boards for new jobs only. Runs the Apify Actor meridianlabs/greenhouse-lever-ashby-jobs-scraper in your own Apify account: $2 per 1,000 jobs; status rows and unsupported companies are free. Connect with your Apify API token (Console > Settings > API & Integrations).
5 tools
meridianlabs--greenhouse-lever-ashby-jobs-scraperThis tool calls the Actor "meridianlabs/greenhouse-lever-ashby-jobs-scraper" and retrieves its output results. Actor description: Scrape open jobs from Greenhouse, Lever, Ashby, Workable, Recruitee and Teamtailor with salary normalised to min, max, currency and period. $2 per 1,000 jobs. Paste board URLs, domains or company names: the system is detected for you, and unsupported companies are free.get-actor-runGet detailed information about a specific Actor run. Returns run result: status, storages (datasets/keyValueStores alias map), stats, summary, nextStep. - summary describes the past (e.g. "SUCCEEDED in 22s. 47 items; 3 fields available."). - nextStep prescribes one primary follow-up action with identifiers interpolated (e.g. "Use get-dataset-items with datasetId=..."). - waitSecs (0–45, default 30) waits up to that many seconds for terminal status before returning. USAGE: - Use to check the status of a run started by any Actor-running tool. - Pass waitSecs > 0 to block until terminal (or until the cap elapses). USAGE EXAMPLES: - user_input: Show details of run y2h7sK3Wc - user_input: Wait for run y2h7sK3Wc to finishget-dataset-itemsGet items (rows) from a dataset — the output/results produced by an Actor run. Returns the rows themselves, not dataset metadata, counts, or a schema. When the user provides a datasetId and asks to retrieve results, output, data, or rows, call this tool directly. Default limit is 20. Use clean=true to skip empty items and hidden fields. USAGE: - Use when you need to read data from a dataset (all items or only selected fields). USAGE EXAMPLES: - user_input: Retrieve results from dataset abc123 - user_input: Get only metadata.url and title from dataset username~my-datasetget-key-value-store-recordGet the value stored under a specific key in a key-value store — a single record, not a listing of all keys. Requires the exact key name. The response preserves the original Content-Encoding; most clients handle decompression automatically. USAGE: - Use when you need to retrieve a specific record (JSON, text, or binary) from a store. USAGE EXAMPLES: - user_input: Get record INPUT from store abc123 - user_input: Get record data.json from store username~my-storeabort-actor-runAbort an Actor run that is currently starting or running. For runs with status SUCCEEDED, FAILED, ABORTING, ABORTED, or TIMED-OUT, this call has no effect. The results will include the updated run details after the abort request. USAGE: - Use when you need to stop a run that is taking too long or misconfigured. USAGE EXAMPLES: - user_input: Abort run y2h7sK3Wc - user_input: Gracefully abort run y2h7sK3Wc
Scrape job listings from companies using Greenhouse ATS via a fast API.
Deterministic public Greenhouse jobs. Paid tool uses 0.001 test USDC on Base Sepolia only.
Open jobs and hiring changes from Greenhouse, Lever, Ashby, Workable, Teamtailor, SmartRecruiters
Production-ready MCP server for Greenhouse with 175 tools for recruiting teams
Jobs from Greenhouse boards. No key required.
Last checked Oct 4, 2026
[ features ]
Geostrategic Position
Information on which part of the world this product / vendor belongs to, i.e. the country of their headquarters primarily, but also their hosting options etc.
Find which geostrategic world region the headquarter is located in. Relevant for compliance questions (e.g., CLOUD Act) or risk of cut-off in case of conflicts. For example, some EU companies are worried about the US and would definitely not host their customer with Chinese or Russian companies.
The hosting provider that is used to host this product, if any.
The available hosting locations, if you can choose
Accessibility & Interfaces
Features related to how users access and interact with the AI coding tools across devices and input methods.
Whether native iOS/Android apps are available for control and interaction.
Availability of a web-based UI for accessing sessions from any browser.
Hands-free voice interaction for commands, ideation, or code generation.
Terminal-based access for power users preferring command-line workflows.
Pricing & Licensing
Cost structure, open-source status, and usage limits.
Primary billing structure.
Can run entirely on user hardware without external services.
Authentication Methods
Core authentication flows and options supported by the platform.
Supported third-party social login providers.
AI & Automation Capabilities
Features related to AI-driven matching, sourcing, and workflow automation specific to executive search and recruiting.
Uses AI to match candidates against job mandates based on competencies and skills.
Automatically generates candidate longlists from queries or mandates.
Sources passive candidates from large public profile databases using AI.
Suggests additional candidates based on similarity to existing ones.
Integrations & Data Sources
Connections to email, LinkedIn, document sources, and third-party tools for unified data.
Deep integration with Outlook for email capture and workflow.
Imports and enriches profiles directly from LinkedIn.
Automatically extracts data from uploaded CVs and documents.
Posts jobs to multiple boards from within the platform.
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