Real-time sync
Changes in Amazon Seller Central or AWS S3 instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and AWS S3 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 AWS S3, so AWS S3 always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.
Whatever Amazon Seller Central is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Records and events from Amazon Seller Central land in AWS S3 as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Amazon Seller Central's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in AWS S3 sync back onto records in Amazon Seller Central, putting analysis where the work happens.
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 | AWS S3 objects | |
|---|---|---|
| Listings / Catalog Items Product listing content and status, readable and updatable through the Listings and Feeds APIs. | Multipart Uploads The mechanism used to write large export files reliably. | |
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Buckets Top-level containers a sync targets; region and policy are set at this level. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | |
| Returns Return and refund records routed to support and finance workflows. | Object Metadata System and user-defined metadata read alongside object contents. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–AWS S3 connection.
Changes in Amazon Seller Central or AWS S3 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or AWS S3 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 AWS S3 record.
Track your Amazon Seller Central ⇄ AWS S3 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and AWS S3.
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 AWS S3 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 AWS S3 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 AWS S3 — 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: Shipments, Financial Events, Returns, Reports, plus custom fields where Amazon Seller Central exposes them. On the AWS S3 side: Buckets, Objects, Prefixes, Object Metadata. 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 AWS S3. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and AWS S3: Analytics on Amazon Seller Central's data; Cross-tool reporting; Where Amazon Seller Central accepts updates: operational write-back. Records and events from Amazon Seller Central land in AWS S3 as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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. AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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. AWS S3: As object storage, S3 has no row-level semantics; incremental sync operates at file granularity. Stacksync's field mapping accounts for these differences between Amazon Seller Central and AWS S3 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 386 integrations available for Amazon Seller Central and AWS S3.