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E-commerce ⇄ Database

Easypost to PostgreSQL integration — real-time, two-way sync

Keep Easypost and PostgreSQL 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 Easypost and PostgreSQL

Give your engineers Easypost's products, orders, and customers in PostgreSQL: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.

E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.

Stacksync mirrors Webhook, Shipment, Address, Parcel from Easypost into PostgreSQL and keeps both sides consistent in real time. Whatever Easypost holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in PostgreSQL, such as new prices, stock levels, or fulfillment status, sync back into Easypost with its validations respected.

Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.

Common use cases

  • 01 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 02 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 03 Batch-create and buy labels for a day's orders, generate a ScanForm, and write each label and tracking code back into the fulfillment system.
  • 04 When an order is ready to ship in an OMS, ERP, or database, create an EasyPost Shipment, buy the lowest qualifying Rate, and write the label URL and tracking code back onto the order.

Common sync patterns

Controlled write-back

Choose exactly which tables and fields may flow from PostgreSQL back into Easypost, keeping the store authoritative on what it owns.

Read the store's data with a query

Records from Easypost, whether products, orders, customers, or inventory, live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Easypost API, rate limits, and retries.

What you can sync between Easypost and PostgreSQL

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.

Easypost objects PostgreSQL objects How this pairing syncs
Address Origin and destination locations; create, retrieve, and list, plus address verification (delivery and residential) to normalize and validate addresses before they are saved downstream. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Address is specific to Easypost and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Parcel Package dimensions and weight (or a predefined_package); created standalone or inline on a Shipment and reused across shipments and batches. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Parcel is specific to Easypost and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Rate Carrier service and price options EasyPost generates on a Shipment; read-only - you select a rate id and buy it, you do not create or edit rates directly. Views Read-side projections used to expose joined or filtered data to a sync. Rate is specific to Easypost and Views to PostgreSQL — each maps to any object or custom field on the other side.
Tracker Tracking for a shipment by tracking_code and carrier; create a Tracker to begin tracking, read status and tracking_details, and receive tracker.updated events via webhook as the parcel moves. Materialized Views Precomputed result sets synced outward on a refresh schedule. Tracker is specific to Easypost and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.
Batch Bulk shipment processing; create a batch, add or remove shipments, buy all labels at once, and generate a consolidated label or ScanForm for the day's orders. Schemas Namespaces that scope which tables a sync reads and writes. Batch is specific to Easypost and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
CarrierAccount Carrier credentials and settings that control which carriers and negotiated rates are available; create, update, and delete to manage enabled carriers across accounts. Columns Field-level mapping targets; types are mapped to the connected system's field types. CarrierAccount is specific to Easypost and Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Easypost and PostgreSQL

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.

Easypost PostgreSQL Sub-second propagation

DetectionEasypost notifies Stacksync of record changes through webhook events. Webhooks deliver an Event via HTTP POST on object changes (e.g.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Easypost Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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

Rate-limit considerations

  • Easypost: Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Easypost ⇄ PostgreSQL

Connect Easypost and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Easypost–PostgreSQL connection.

Real-time

Two-way sync

Changes in Easypost or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Easypost or PostgreSQL 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 Easypost or PostgreSQL record.

Observability

Monitoring

Track your Easypost ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Easypost and PostgreSQL.

How the Easypost and PostgreSQL connectors work

Easypost

Integration surface
REST API (EasyPost API v2, https://api.easypost.com/v2)
Authentication
HTTP Basic auth with the API key as the username and an empty password (Bearer token also accepted); separate Test and Production keys
Change detection
Webhooks deliver an Event via HTTP POST on object changes (e.g. tracker.updated); historical pulls via list/index endpoints using before_id/after_id cursor pagination
Capabilities
read · write · webhooks
Rate limits
Fixed 5 requests/second on index (list) endpoints plus a dynamic load-based limiter protecting buy and rate operations; exceeding either returns HTTP 429 Too Many Requests
Easypost setup guide

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Easypost to PostgreSQL — 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 Easypost and PostgreSQL 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
    Easypost connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Easypost and PostgreSQL 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 · Easypost ⇄ PostgreSQL
    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
    Easypost PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Easypost and PostgreSQL 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 503 integrations available for Easypost and PostgreSQL.

Popular · 8 of 503
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