Two-way sync
Changes in Greenhouse instantly reflect across connected systems. No stale data, no manual imports.
Two-way sync Greenhouse across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.
These objects sync between Greenhouse and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Greenhouse exposes them.
The connector runs on Greenhouse's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.
Changes in Greenhouse instantly reflect across connected systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenhouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Greenhouse record.
Track your Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions.
Greenhouse is the applicant tracking system (ATS) and system of record for recruiting, owned by Talent Acquisition and Recruiting Operations, usually with HRIS admins alongside. Candidates, Applications, Jobs, Offers, Scorecards, and interview data all live there, making it the source of truth for the hiring pipeline and funnel metrics. Downstream HRIS, analytics, and onboarding tools need to both read from and write back to it.
Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters stay in Greenhouse.
Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
Push hired Applications and their Offers into an HRIS such as Workday or BambooHR to trigger onboarding and headcount records.
Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.
Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
Two-way sync Candidates and Applications between Greenhouse and a Postgres database so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters keep working in Greenhouse.
Pick the system you need to keep in sync with Greenhouse. Each page covers the sync setup, field mapping, and common workflows for that pair.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Greenhouse with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Greenhouse objects to sync — Stacksync auto-detects the schema, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
FAQ
Greenhouse's core objects — Candidates, Applications, Jobs, Offers and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.
Via Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import), authenticated with HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user. Changes are detected as follows — hMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters. Stacksync manages rate limits, retries, and schema changes automatically.
Yes. Changes made in Greenhouse propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.
Most Greenhouse integrations go live in minutes: authenticate Greenhouse and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.
Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Greenhouse data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with: