Real-time
Two-way sync
Changes in DEAR Inventory or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Human resources
DEAR Inventory to Greenhouse integration — real-time, two-way sync
Keep DEAR Inventory and Greenhouse in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect DEAR Inventory and Greenhouse
Sync the workers, org structure, and cost centers that DEAR Inventory and Greenhouse share in real time, so the people Greenhouse manages stay current in the system that runs finance and operations.
Greenhouse is the system of record for people: who was hired, which department and location they sit in, who they report to, and how they are paid. DEAR Inventory runs finance and operations, and much of what it does depends on that same information, from booking labor cost to approving an expense report to staffing a project. Where the two are bridged by re-keying or an overnight file, each side spends the day out of step, with new hires missing from the systems they need and leavers still active where they should not be.
Stacksync syncs Assemblies / Production, Locations, Products, Stock levels in DEAR Inventory with Departments and Offices, Candidates, Applications, Jobs in Greenhouse field by field, in real time, and in both directions. You decide which system owns which fields, so the people side stays authoritative for worker data while DEAR Inventory keeps its own accounting and operational detail, and every change made in one is reflected in the other within seconds instead of at the next batch run.
Common use cases
- 01 Keep supplier and purchase order data aligned with the accounting system for accrual accuracy.
- 02 Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.
- 03 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
- 04 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.
Common sync patterns
Where Greenhouse runs payroll: labor cost in the books
Pay and compensation data from Greenhouse posts into DEAR Inventory as labor cost, so finance sees workforce spend without re-entering it by hand.
Where Greenhouse is the worker system of record: one employee master
When a worker is hired, moved, or offboarded in Greenhouse, the matching employee record in DEAR Inventory is created, updated, or deactivated, so the business system reflects the workforce as it actually is.
New hires ready to transact in DEAR Inventory
A new person set up in Greenhouse becomes an employee record in DEAR Inventory in time to submit expenses, enter time, or approve a purchase, without waiting on manual setup.
What you can sync between DEAR Inventory and Greenhouse
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| DEAR Inventory objects | Greenhouse objects | How this pairing syncs | |
|---|---|---|---|
| Locations Warehouses and bins that scope stock levels and fulfillment. | Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Locations is specific to DEAR Inventory and Jobs to Greenhouse — each maps to any object or custom field on the other side. | |
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Products is specific to DEAR Inventory and Offers to Greenhouse — each maps to any object or custom field on the other side. | |
| Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Stock levels is specific to DEAR Inventory and Scorecards to Greenhouse — each maps to any object or custom field on the other side. | |
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Sale orders is specific to DEAR Inventory and Scheduled Interviews to Greenhouse — each maps to any object or custom field on the other side. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. | Purchase orders is specific to DEAR Inventory and Users to Greenhouse — each maps to any object or custom field on the other side. | |
| Customers Buyer records aligned with CRM and accounting counterparts. | Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Customers is specific to DEAR Inventory and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side. |
How changes propagate between DEAR Inventory and Greenhouse
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DEAR Inventory Greenhouse Sub-second propagation
DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
Greenhouse DEAR Inventory Sub-second propagation
DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.
DeliveryEach detected change is written to DEAR Inventory through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- DEAR Inventory: Subject to the platform's per-account API rate limits.
- Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
What ships with DEAR Inventory ⇄ Greenhouse
Connect DEAR Inventory and Greenhouse for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Greenhouse connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DEAR Inventory or Greenhouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single DEAR Inventory or Greenhouse record.
Observability
Monitoring
Track your DEAR Inventory ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DEAR Inventory and Greenhouse.
How the DEAR Inventory and Greenhouse connectors work
DEAR Inventory
- Integration surface
- REST API
- Authentication
- Account ID plus application key sent as request headers
- Change detection
- Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's per-account API rate limits
Greenhouse
- Integration surface
- Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import)
- Authentication
- 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
- Change detection
- HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
- Capabilities
- read · write · webhooks
- Rate limits
- Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
How it works
How to connect DEAR Inventory to Greenhouse — three steps, no code
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.
- 01
Connect your apps
Authenticate DEAR Inventory and Greenhouse with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DEAR Inventory
connected
Greenhouse
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DEAR Inventory and Greenhouse objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · DEAR Inventory ⇄ GreenhouseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
DEAR Inventory GreenhouseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DEAR Inventory and Greenhouse integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DEAR Inventory and Greenhouse: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Locations and Products), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the DEAR Inventory side: Assemblies / Production, Locations, Products, Stock levels, plus custom fields where DEAR Inventory exposes them. On the Greenhouse side: Departments and Offices, Candidates, Applications, Jobs. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for DEAR Inventory and Greenhouse: Where Greenhouse runs payroll: labor cost in the books; Where Greenhouse is the worker system of record: one employee master; New hires ready to transact in DEAR Inventory. Pay and compensation data from Greenhouse posts into DEAR Inventory as labor cost, so finance sees workforce spend without re-entering it by hand.
-
DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Greenhouse: Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import). Authentication: 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. Stacksync manages authentication, retries, and rate limits on both sides.
-
DEAR Inventory: Authentication uses a two-part credential, an account ID and an application key, passed as headers on every request. Greenhouse: Change feeds rely on signed webhooks or updated_after / last_activity_after polling; there is no log-based change data capture. Stacksync's field mapping accounts for these differences between DEAR Inventory and Greenhouse without custom code.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
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