Real-time sync
Changes in Amazon Seller Central or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Department, team, and reporting-line changes from Greenhouse keep the groups, queues, or projects in Amazon Seller Central assigned to the right people.
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.
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.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Greenhouse connection.
Changes in Amazon Seller Central or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or 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 Amazon Seller Central or Greenhouse record.
Track your Amazon Seller Central ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Greenhouse.
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 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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time integration between Amazon Seller Central and Greenhouse — Amazon Seller Central is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
On the Amazon Seller Central side: Financial Events, Returns, Reports, Feeds, plus custom fields where Amazon Seller Central exposes them. On the Greenhouse side: Users, Departments and Offices, Candidates, Applications. Stacksync auto-detects both schemas and converts types between the two systems.
Amazon Seller Central is a read-only source, so this integration runs one-way: Stacksync reads from Amazon Seller Central in real time and delivers into Greenhouse. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Greenhouse: Org and team structure kept current; Where Amazon Seller Central routes or assigns work by person: assignments follow the org; Onboarding: access ready on day one. Department, team, and reporting-line changes from Greenhouse keep the groups, queues, or projects in Amazon Seller Central assigned to the right people.
Amazon Seller Central: 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. 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.
Amazon Seller Central: Event notifications are delivered via Amazon SQS or EventBridge, not conventional HTTP webhooks, so consumers need an AWS-side subscription. 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 Amazon Seller Central and Greenhouse without custom code.
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:
Every pair below is a real-time, two-way sync. Search all 468 integrations available for Amazon Seller Central and Greenhouse.