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E-commerce ⇄ Database

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

Keep Easypost and Elasticsearch 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 Elasticsearch

Give your engineers Easypost's products, orders, and customers in Elasticsearch: 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 Tracker, Batch, CarrierAccount, Webhook from Easypost into Elasticsearch 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 Elasticsearch, 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 Mirror support tickets into an index used for full-text search and agent-assist tooling.
  • 02 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • 03 Create a Tracker for every outbound shipment and stream tracker.updated webhook events into Postgres or a warehouse so support and ops see live delivery status beside order records.
  • 04 Verify and normalize customer Addresses through EasyPost before they are saved to the CRM or OMS to cut failed deliveries and carrier address-correction surcharges.

Common sync patterns

Read the store's data with a query

Records from Easypost, whether products, orders, customers, or inventory, live in Elasticsearch 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.

React to store changes

Updates in Easypost arrive as row changes in Elasticsearch, so jobs and triggers can respond the moment an order, price, or stock level changes.

What you can sync between Easypost and Elasticsearch

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 Elasticsearch objects How this pairing syncs
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. Aliases Stable read/write names that let a sync cut over between index versions without downtime. Batch is specific to Easypost and Aliases to Elasticsearch — 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. Data streams Append-only targets for time-series or event data pushed from source systems. CarrierAccount is specific to Easypost and Data streams to Elasticsearch — each maps to any object or custom field on the other side.
Webhook Event subscriptions delivering an Event via HTTP POST on object changes; full CRUD (create, retrieve, list, update, delete) and the mechanism for near-real-time change delivery to Stacksync. Ingest pipelines Server-side transforms applied to documents as a sync writes them. Webhook is specific to Easypost and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side.
Shipment The central writable object: create with a to/from Address and Parcel, receive Rate options, then buy a label to get postage_label and tracking_code; retrieve and list with cursor pagination. Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Shipment is specific to Easypost and Index templates to Elasticsearch — each maps to any object or custom field on the other side.
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. Indices Target containers for synced records; each holds a table-like collection of JSON documents. Address is specific to Easypost and Indices to Elasticsearch — 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. Documents The unit of sync; JSON records created, updated, and deleted by _id. Parcel is specific to Easypost and Documents to Elasticsearch — each maps to any object or custom field on the other side.

How changes propagate between Easypost and Elasticsearch

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 Elasticsearch 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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.

Elasticsearch Easypost Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

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.
  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with Easypost ⇄ Elasticsearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Easypost or Elasticsearch 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 Elasticsearch record.

Observability

Monitoring

Track your Easypost ⇄ Elasticsearch 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 Elasticsearch.

How the Easypost and Elasticsearch 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

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
How it works

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

    Choose tables

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

Easypost and Elasticsearch 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
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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 478 integrations available for Easypost and Elasticsearch.

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