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Amazon Seller Central to Greenhouse integration — real-time data sync

Keep Amazon Seller Central 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Seller Central and Greenhouse

Keep the people, teams, and status that Amazon Seller Central and Greenhouse share aligned in real time, so a hire, role change, or departure recorded in one reaches the other within seconds.

Amazon Seller Central is a read-only source: Stacksync reads its data in real time and delivers it into Greenhouse, so Greenhouse always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.

Each tool in Amazon Seller Central keeps its own list of who can use it: users, members, or agents, along with the team they sit on and whether they are still active. Greenhouse is the authoritative record of the same people as employees, with their department, manager, and employment status. When those two are connected only by manual account admin or a periodic export, the work tools drift: new hires wait days for access, team and manager changes never catch up, and people who have left keep standing accounts.

Because the sync is field-level, each system keeps its own extras; only the shared facts, who a person is, which team they belong to, and whether their access should be on, are held in agreement.

Common use cases

  • 01 Track price and inventory report changes across marketplaces from one queryable table.
  • 02 Land Amazon orders, reports, and settlement data in your warehouse or ERP as they are produced.
  • 03 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
  • 04 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.

Common sync patterns

Org and team structure kept current

Department, team, and reporting-line changes from Greenhouse keep the groups, queues, or projects in Amazon Seller Central assigned to the right people.

Where Amazon Seller Central routes or assigns work by person: assignments follow the org

When someone changes teams or managers in Greenhouse, the queues, ownership, or approvals in Amazon Seller Central update to match, so work reaches whoever holds the role now.

Onboarding: access ready on day one

A new hire recorded in Greenhouse creates the matching user in Amazon Seller Central with the right team and manager already set, so people can start working without waiting on a provisioning ticket.

What you can sync between Amazon Seller Central 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.

Amazon Seller Central objects Greenhouse objects How this pairing syncs
Order Items Line-level SKU, quantity, and price data joined to orders in downstream systems. Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. Order Items is specific to Amazon Seller Central and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side.
Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. Listings / Catalog Items is specific to Amazon Seller Central and Candidates to Greenhouse — each maps to any object or custom field on the other side.
FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. FBA Inventory is specific to Amazon Seller Central and Applications to Greenhouse — each maps to any object or custom field on the other side.
Shipments Inbound and outbound shipment records used to track fulfillment state. Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. Shipments is specific to Amazon Seller Central and Jobs to Greenhouse — each maps to any object or custom field on the other side.
Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. Financial Events is specific to Amazon Seller Central and Offers to Greenhouse — each maps to any object or custom field on the other side.
Returns Return and refund records routed to support and finance workflows. Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Returns is specific to Amazon Seller Central and Scorecards to Greenhouse — each maps to any object or custom field on the other side.

How changes propagate between Amazon Seller Central 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.

Amazon Seller Central Greenhouse Interval-based propagation

DetectionStacksync polls Amazon Seller Central for changes on an incremental schedule, reading only records changed since the previous pass. Historical and incremental syncs (mechanism not further specified).

DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.

Greenhouse Amazon Seller Central 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 /.

DeliveryAmazon Seller Central does not accept inbound record writes, so this direction carries requests rather than records: Amazon Seller Central's output flows back as field updates on the originating Greenhouse records.

Rate-limit considerations

  • Amazon Seller Central: Per-operation token-bucket rate limits; bulk reads and writes should go through the asynchronous Reports and Feeds APIs instead of item-by-item calls.
  • 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 Amazon Seller Central ⇄ Greenhouse

Connect Amazon Seller Central and Greenhouse for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Greenhouse connection.

Real-time

Real-time sync

Changes in Amazon Seller Central or Greenhouse instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Seller Central 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 Amazon Seller Central or Greenhouse record.

Observability

Monitoring

Track your Amazon Seller Central ⇄ Greenhouse sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Greenhouse.

How the Amazon Seller Central and Greenhouse connectors work

Amazon Seller Central

Integration surface
REST API (Selling Partner API, SP-API)
Authentication
SP-API app credentials (LWA client ID/secret, application ID, Merchant ID/Seller ID token, refresh token, region) entered into the Stacksync connection form
Change detection
Historical and incremental syncs (mechanism not further specified)
Capabilities
read
Rate limits
Per-operation token-bucket rate limits; bulk reads and writes should go through the asynchronous Reports and Feeds APIs instead of item-by-item calls
Amazon Seller Central setup guide

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.
Greenhouse setup guide
How it works

How to connect Amazon Seller Central 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.

  1. 01

    Connect your apps

    Authenticate Amazon Seller Central 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Seller Central connected
    Greenhouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Seller Central 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Seller Central ⇄ Greenhouse
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Seller Central Greenhouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon Seller Central and Greenhouse integration FAQ

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 468 integrations available for Amazon Seller Central and Greenhouse.

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