Real-time sync
Changes in Amazon Seller Central or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Seller Central and Google Sheets 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 Google Sheets, so Google Sheets always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.
Two tools in the daily stack often hold overlapping information: the same people, the same companies, or the same pieces of work, described twice. The tools do different jobs, so consolidating is not the answer; the overlap just needs to stop drifting.
Stacksync syncs Listings / Catalog Items, FBA Inventory, Shipments, Financial Events in Amazon Seller Central with Sheets (tabs), Rows, Ranges, Named ranges in Google Sheets in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
Payments, replies, messages, or tickets created in one tool can create or update matching records in the other, keeping context in one place.
Information that originates in Amazon Seller Central stays current in Google Sheets instead of going stale after a one-time paste.
When work started in one tool continues in the other, the shared fields travel with it automatically.
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 | Google Sheets objects | How this pairing syncs | |
|---|---|---|---|
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Rows Treated as records; a header row usually defines field names. | Shipments is specific to Amazon Seller Central and Rows to Google Sheets — 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. | Ranges Addressed in A1 notation for batched reads and writes. | Financial Events is specific to Amazon Seller Central and Ranges to Google Sheets — each maps to any object or custom field on the other side. | |
| Returns Return and refund records routed to support and finance workflows. | Named ranges Stable references that keep sync mappings valid when the grid moves. | Returns is specific to Amazon Seller Central and Named ranges to Google Sheets — each maps to any object or custom field on the other side. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Cell values Untyped by default, so syncs handle type coercion for dates and numbers. | Reports is specific to Amazon Seller Central and Cell values to Google Sheets — each maps to any object or custom field on the other side. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Spreadsheets The file-level container a sync connects to, identified by spreadsheet ID. | Feeds is specific to Amazon Seller Central and Spreadsheets to Google Sheets — each maps to any object or custom field on the other side. | |
| Product Pricing Current price and competitive pricing data read for repricing analysis. | Sheets (tabs) Individual worksheets, typically mapped one-to-one to a synced table. | Product Pricing is specific to Amazon Seller Central and Sheets (tabs) to Google Sheets — 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 Google Sheets through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Google Sheets for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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 Google Sheets records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Google Sheets connection.
Changes in Amazon Seller Central or Google Sheets instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Seller Central or Google Sheets 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 Google Sheets record.
Track your Amazon Seller Central ⇄ Google Sheets sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Google Sheets.
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 Google Sheets 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 Google Sheets 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 Google Sheets — 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.
Change detection on Amazon Seller Central: Historical and incremental syncs (mechanism not further specified). On Google Sheets: Polling; the Sheets API has no cell-level webhooks, and Drive push notifications only signal file-level changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Seller Central side: Listings / Catalog Items, FBA Inventory, Shipments, Financial Events, plus custom fields where Amazon Seller Central exposes them. On the Google Sheets side: Sheets (tabs), Rows, Ranges, Named ranges. 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 Google Sheets. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Amazon Seller Central and Google Sheets: Where one tool produces events: mirror them in the other; Where Google Sheets is where the team documents or plans: keep its data fed; Handoffs between teams. Payments, replies, messages, or tickets created in one tool can create or update matching records in the other, keeping context in one place.
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. Google Sheets: REST API (Google Sheets API), with file-level change signals available through the Drive API. Authentication: OAuth 2.0 (user consent) or Google service accounts. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 475 integrations available for Amazon Seller Central and Google Sheets.