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Toast Integration Guide

Connect Toast restaurant, ordering, menu, labor, payment, and operational data with enterprise systems through REST APIs, selected webhook notifications, and Martini workflows.

Toast integration options at a glance

Toast primarily integrates through authenticated REST APIs covering restaurants, menus, orders, checks, payments, labor, and related operational data. Toast also supports webhook-style notifications for selected events, although coverage is not universal across all objects and state changes. Martini can consume Toast JSON APIs, provide restaurant-specific context, receive supported webhook notifications, and orchestrate retrieval, transformation, validation, and downstream writes. Large synchronizations should use pagination, incremental polling, checkpoints, rate-limit handling, and retry backoff. A universal bulk export, file-transfer API, direct database access, public GraphQL API, or public SOAP API was not confirmed.

Integration pointSupported by Toast?Common use casesHow Martini supports it
REST APIsYesToast's primary integration mechanism for restaurants, menus, orders, checks, payments, employees, time entries, and related operational resources. Responses are generally JSON-based and may require restaurant-specific context.Martini can consume Toast REST endpoints from workflows, manage authentication configuration, paginate requests, transform JSON, apply business rules, and write results to downstream APIs or databases.
Webhooks and outbound callbacksLimitedToast provides webhook-style notifications for selected integration events, including order-related scenarios. Coverage is event-specific and does not represent a universal stream for every object or state change.Martini can expose an API endpoint or receive a webhook request, validate it, invoke a workflow, retrieve the authoritative Toast resource, and apply idempotency and retry handling.
Bulk, asynchronous, and batch APIsLimitedCollection endpoints and resource-specific batch behavior may exist, but a universal bulk export or asynchronous bulk API covering all Toast resources was not confirmed.Martini can implement paginated and scheduled synchronization with incremental windows, checkpoints, throttling, and resource-specific handling after the applicable Toast endpoint is validated.
AuthenticationYesApproved Toast integrations use an OAuth 2.0-style application flow with client credentials, access tokens, permissions, scopes, and restaurant or organization context.Martini can store credentials and tokens in secrets or protected environment configuration and supply bearer tokens and restaurant-specific headers from workflows.
JSON APIsYesToast REST responses are generally JSON-based and represent restaurant, menu, order, labor, payment, and related operational models.Martini can parse, validate, map, transform, enrich, and route JSON payloads between Toast and enterprise applications.
Scheduled synchronizationYesScheduled polling is appropriate for menus, labor, reporting data, reconciliation, and resources without suitable webhook coverage.Martini can run scheduled workflows, retrieve pages incrementally, persist checkpoints, apply rate-limit backoff, and reconcile late changes.
Database and analytics accessNoDirect access to Toast's operational database is not a standard documented integration method. Reporting access may require an approved Toast product, export, or resource-specific API.Martini can write approved Toast API data to an enterprise database or warehouse, but it should not connect directly to Toast's operational database.
File and attachment APIsNot confirmedA general Toast file-transfer or attachment API was not confirmed; integrations should generally use JSON REST resources and supported webhook notifications.Martini can process files from other systems when required, but a Toast file integration should only be designed after a specific Toast file endpoint is verified.

How Toast exposes data and business events

Toast REST APIs

REST APIs are Toast's primary documented integration mechanism for restaurant operations, menus, orders, checks, payments, labor, and related resources. Requests generally return JSON and may require bearer authentication, approved scopes, and restaurant-specific context.

Martini implementation pattern

Martini implementation pattern: Martini workflows call the applicable Toast REST endpoints, manage configuration and restaurant headers, paginate collections, validate responses, map Toast objects into canonical models, and write results to target APIs, databases, or warehouses.

Implementation sequence

Load protected Toast credentials and restaurant context
Request an access token using the approved authentication flow
Call the required Toast REST resource
Retrieve all required pages or incremental changes
Validate and transform the JSON response
Apply business rules and write the target result

Toast webhooks

Toast supports webhook-style notifications for selected events, including order-related use cases. Notifications are event-specific and may identify a resource rather than contain the complete authoritative object.

Martini implementation pattern

Martini implementation pattern: Martini exposes a controlled API endpoint or receives the supported webhook request, validates the notification, records an idempotency key, and invokes a workflow that retrieves the current Toast resource before downstream processing.

Implementation sequence

Receive the supported Toast webhook notification
Validate the request and event content
Record the event or object key for duplicate detection
Retrieve the authoritative Toast resource when required
Map and validate the current object
Acknowledge promptly and process downstream work with retry handling

Toast scheduled synchronization

Scheduled retrieval is appropriate for menus, labor, reporting data, reconciliation, and objects without suitable webhook coverage. Toast API usage and request-volume considerations require pagination, throttling, and controlled concurrency.

Martini implementation pattern

Martini implementation pattern: Martini scheduler-triggered workflows maintain per-restaurant checkpoints, retrieve resource changes in bounded windows, transform the data, and reconcile corrections or late-arriving updates in downstream systems.

Implementation sequence

Start the workflow on a controlled schedule
Load the restaurant-specific synchronization checkpoint
Retrieve paginated or incremental Toast data
Throttle requests and back off after transient failures
Map and write changes idempotently
Persist the new checkpoint and reconciliation status

Common Toast integration patterns

Pattern 1: Process Toast orders into fulfillment

When to use this pattern

Use this pattern when an order-related Toast notification should initiate fulfillment, kitchen, delivery, or order-management processing. The notification is treated as a trigger rather than the complete source of order data.

Integration direction
Toast
Martini
Order-management or fulfillment application
Example Mapping
Toast FieldCanonical FieldTarget Field
orderGuidsourceOrderIdexternalOrderId
checks.itemslineItemsitems
checks.items.modifiersmodifiersoptions
orderStatusorderStatusfulfillmentStatus
Martini implementation pattern

Martini receives the supported notification, validates and deduplicates it, retrieves the authoritative Toast order and related checks, maps items and modifiers, applies rules for cancellations and delayed payment states, and submits an idempotent fulfillment request. Transient failures are retried and unresolved events are retained for reconciliation.

Martini capabilities used
  • workflows
  • API consumption
  • webhook receiving
  • data mapping
  • business rules
  • error handling

Pattern 2: Publish Toast menus to commerce channels

When to use this pattern

Use this pattern when Toast menu structure, prices, modifiers, and availability must be synchronized to an external ordering or publishing platform on a schedule.

Integration direction
Toast
Martini
DoorDash or external commerce platform
Example Mapping
Toast FieldCanonical FieldTarget Field
menuGroupcategorycategory
menuItemGuidproductIdsku
modifiersoptionsmodifierGroups
priceunitPriceprice
Martini implementation pattern

A scheduled Martini workflow retrieves Toast menus and related resources, preserves item and modifier identifiers, transforms the hierarchy and availability model, checks for incomplete data, and publishes only valid changes. Checkpoints, comparison logic, and retries prevent unnecessary overwrites and support recovery.

Martini capabilities used
  • scheduled workflows
  • API consumption
  • data mapping
  • data transformation
  • validation
  • error handling

Pattern 3: Synchronize Toast labor to payroll

When to use this pattern

Use this pattern when approved Toast employee and time-entry data must support payroll or workforce processing across one or more restaurant locations.

Integration direction
Toast
Martini
ADP Workforce Now or UKG Pro
Example Mapping
Toast FieldCanonical FieldTarget Field
employeeGuidworkerIdworkerReference
restaurantGuidlocationIdworkLocation
clockInshiftStartstartDateTime
clockOutshiftEndendDateTime
Martini implementation pattern

Martini retrieves employees and time entries incrementally, maps Toast workers and restaurants to downstream identifiers, validates hours and corrections, limits sensitive data, and writes idempotent payroll or workforce updates. Failed batches are retried without duplicating previously accepted entries.

Martini capabilities used
  • scheduled workflows
  • API consumption
  • data mapping
  • validation
  • business rules
  • retry handling

Pattern 4: Load Toast sales data into a warehouse

When to use this pattern

Use this pattern when orders, checks, payments, restaurants, and other approved operational resources are needed for reporting, reconciliation, or analytics.

Integration direction
Toast
Martini
Snowflake
Example Mapping
Toast FieldCanonical FieldTarget Field
restaurantGuidlocationIdrestaurant_id
orderGuidorderIdorder_id
checkAmountgrossAmountgross_amount
paymentAmountsettledAmountpayment_amount
Martini implementation pattern

Martini runs incremental workflows using restaurant-level checkpoints, retrieves paginated Toast data, preserves source identifiers and useful raw payloads, applies rules for refunds, voids, taxes, tips, and reopened checks, and loads curated records into Snowflake. Reconciliation handles late updates and corrected transactions.

Martini capabilities used
  • scheduled workflows
  • API consumption
  • pagination
  • data transformation
  • database or warehouse integration
  • reconciliation

Applications commonly integrated with Toast

Toast data can be integrated with named enterprise applications when the required Toast resources, downstream APIs, permissions, and commercial arrangements are available. Martini can mediate these flows without assuming that a certified Toast pairing or universal write access exists.

Application Scenario Direction Martini Pattern
Salesforce Send restaurant, customer, catering, or sales-related information into CRM workflows and associate activity with accounts or opportunities. Toast → Martini → Salesforce A Martini workflow retrieves approved Toast restaurant and sales data, maps location and customer references to Salesforce fields, applies deduplication rules, and writes updates through Salesforce APIs with retry and reconciliation handling.
NetSuite Transfer sales summaries, payments, fees, refunds, and location-level financial data for accounting and reconciliation. Toast → Martini → NetSuite Martini retrieves approved Toast orders, checks, payments, and adjustment data on an incremental schedule, transforms it into an accounting model, validates totals, and submits idempotent records to NetSuite.
Workday Synchronize approved employee or labor information for workforce and payroll processes. Toast → Martini → Workday A scheduled Martini workflow retrieves Toast employees and time entries, maps restaurant and worker identifiers, validates hours and corrections, minimizes sensitive fields, and sends the result to Workday.
UKG Pro Transfer employee time and attendance information into workforce-management or payroll processes. Toast → Martini → UKG Pro Martini uses Toast REST resources and checkpoints to retrieve time-entry changes, handles multi-location employees and corrections, transforms work periods to UKG Pro's model, and retries transient downstream failures.
ADP Workforce Now Deliver approved labor and employee information to payroll processing. Toast → Martini → ADP Workforce Now Martini orchestrates scheduled extraction from Toast, validates employee and location mappings, transforms time entries into payroll-ready data, and records source identifiers to prevent duplicate submissions.
Snowflake Centralize Toast orders, checks, payments, menus, and restaurant data for reporting and analytics. Toast → Martini → Snowflake Martini retrieves Toast resources incrementally, preserves raw JSON where useful, maps data into canonical reporting tables, handles late-arriving corrections, and writes curated data to Snowflake through approved interfaces.
DoorDash Coordinate menu, order, or fulfillment information where the relevant Toast and DoorDash commercial and API arrangements are enabled. Toast → Martini → DoorDash Where both parties authorize the required access, Martini mediates menu or order exchanges, preserves Toast identifiers, validates status transitions, and applies idempotent processing for updates and cancellations.

How to build a Toast integration in Martini

Objective

Configure Toast application credentials, access-token handling, approved permissions, restaurant context, and downstream credentials without embedding secrets in workflows.

Instructions in Martini

  • Create protected Martini configuration for Toast credentials and tokens
  • Store secrets in Martini secrets or protected environment configuration
  • Configure restaurant GUIDs and external location mappings
  • Separate development, certification, and production settings

Objective

Select webhook-driven, scheduled, or API-triggered execution based on the Toast resource and event coverage required.

Instructions in Martini

  • Use a supported Toast webhook for event-assisted processing where available
  • Use a scheduler for menus, labor, reporting, and reconciliation
  • Define per-restaurant frequency and concurrency limits
  • Treat webhook notifications as triggers rather than complete resource payloads when necessary

Objective

Call the applicable Toast REST resources and reliably retrieve the current, paginated, or incremental data set.

Instructions in Martini

  • Request an access token through the approved Toast flow
  • Supply required authorization and restaurant context
  • Follow pagination and resource-specific filters
  • Persist checkpoints for incremental synchronization
  • Apply throttling and retry backoff for transient failures

Objective

Coordinate validation, enrichment, business rules, target writes, and recovery paths in a maintainable Martini workflow.

Instructions in Martini

  • Validate webhook or API input before processing
  • Retrieve related Orders, Checks, Menus, Employees, or Time entries as required
  • Route resource-specific outcomes with workflow conditions
  • Record processing state and correlation identifiers
  • Separate transient failures from validation and permission failures

Objective

Convert Toast JSON and restaurant-specific structures into canonical and target-system models while preserving source identifiers.

Instructions in Martini

  • Map Toast GUIDs to internal and external keys
  • Transform menu hierarchy, order lines, modifiers, labor periods, or financial values
  • Preserve source timestamps and relevant raw payloads
  • Normalize dates, amounts, statuses, and location references
  • Minimize sensitive employee, customer, and payment fields

Objective

Make downstream behavior explicit for cancellations, refunds, voids, corrections, duplicate notifications, late updates, and incomplete data.

Instructions in Martini

  • Use stable Toast identifiers as idempotency keys
  • Distinguish create, update, cancel, void, refund, and correction flows
  • Validate totals and required target fields
  • Reject or quarantine incomplete menu and financial data
  • Reconcile previously processed objects when Toast data changes

Common Toast data objects used in integrations

ObjectTypical UseCommon target systemsMartini handling
RestaurantsRepresent restaurant locations, organization context, and location-level configuration.NetSuite, Snowflake, Salesforce, workforce platformsMartini maps Toast restaurant GUIDs to internal and external location identifiers, preserves tenant context, and uses stable IDs rather than display names.
MenusSynchronize menu structures, groups, items, modifiers, pricing, and availability.DoorDash, Salesforce, Snowflake, ordering and publishing platformsMartini retrieves menu resources, preserves Toast identifiers, transforms hierarchy and availability, and avoids replacing complete downstream menus with incomplete payloads.
OrdersProcess orders submitted through Toast or integrated ordering channels.Order-management platforms, fulfillment systems, Snowflake, NetSuiteMartini can use webhook notifications as triggers, retrieve the current order, map items and modifiers, handle updates or cancellations, and enforce order-level idempotency.
ChecksRepresent order-associated items, payments, and financial details.NetSuite, Snowflake, reporting platformsMartini transforms checks into financial or reporting models and accounts for split checks, discounts, taxes, tips, voids, refunds, and reopened checks.
EmployeesSynchronize restaurant employees and associated labor or access information.Workday, UKG Pro, ADP Workforce Now, SnowflakeMartini transfers only approved fields, maps workers across restaurant locations, and retains Toast identifiers for reconciliation.
Time entriesProcess employee clock-in, clock-out, and labor records.Workday, UKG Pro, ADP Workforce Now, finance platformsMartini retrieves entries incrementally, validates work periods, handles corrections, maps location and employee keys, and prevents duplicate payroll submissions.

Authentication and security considerations

OAuth-style application authentication

Toast integrations use approved application credentials and access tokens supplied as bearer tokens. Permissions and scopes depend on the Toast APIs and integration program being used.

Restaurant context

Requests may require Toast-specific restaurant or location headers. Multi-location integrations should explicitly map Toast restaurant GUIDs to internal and downstream location identifiers.

Protect integration credentials

  • Store Toast credentials and tokens in Martini secrets or protected environment configuration.
  • Separate development, certification, and production credentials.
  • Limit access to approved restaurants, resources, and fields.
  • Minimize employee, customer, payment, and transaction data copied to downstream systems.
  • Prevent credentials and sensitive payloads from appearing in workflow logs.

Operational considerations for Toast integrations

Rate limits and pagination

Confirm current Toast request limits for each API product. Use bounded concurrency, pagination, incremental windows, checkpoints, and exponential backoff rather than repeatedly loading complete histories.

Events and idempotency

Toast webhook notifications can be duplicated, retried, delayed, or limited to selected state changes. Use event and object identifiers where available, retrieve the authoritative resource, and make downstream writes idempotent.

Schema and lifecycle changes

Test against restaurants with different menu, modifier, payment, and check configurations. Account for discounts, taxes, tips, voids, refunds, reopened checks, employee corrections, and late-arriving updates.

Testing and reconciliation

Validate permissions and restaurant context in non-production environments. Maintain reconciliation workflows for corrected financial, labor, menu, and order data, and monitor failures separately from business validation errors.

Why use Martini instead of scripts or point-to-point integrations?

Centralized orchestration

Martini provides a maintainable workflow layer for authentication, Toast API calls, webhook handling, pagination, transformation, business rules, downstream writes, and recovery paths.

Reusable integration logic

Shared mappings, validation, location mappings, checkpoint handling, and error policies can be reused across restaurants and target applications instead of being duplicated in scripts.

Reliable synchronization

Martini supports event-driven and scheduled designs, enabling webhook-triggered processing to be combined with polling and reconciliation when Toast event coverage is incomplete.

Controlled change and operations

API configuration, secrets, transformations, monitoring, and deployment can be managed as integration assets, reducing the operational burden of disconnected point-to-point scripts.

Frequently asked questions

How can Toast be integrated with enterprise systems?

Toast can be integrated primarily through authenticated REST APIs for restaurants, menus, orders, checks, payments, employees, time entries, and related operational data. Selected events can also produce webhook-style notifications. Enterprise workflows commonly combine webhook-triggered retrieval with scheduled pagination, incremental synchronization, checkpoints, transformation, and downstream API or database writes.

Can Martini integrate with Toast?

Yes. Martini can consume Toast REST APIs, receive supported Toast webhook notifications, manage restaurant-specific context, orchestrate workflows, transform JSON data, and synchronize approved resources with enterprise applications or databases. A dedicated native Martini Toast connector was not confirmed in the supplied documentation.

Do I need a connector to integrate Toast with Martini?

No. A dedicated Toast connector is not required. Martini can integrate using Toast's confirmed native mechanisms, including authenticated REST APIs, selected webhook notifications, JSON responses, and the applicable OAuth-style authentication flow.

Is there any extra Lonti cost to integrate Toast with Martini?

Lonti does not charge an additional per-connector or per-vendor fee to integrate Toast. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Toast, cloud infrastructure, or other third-party systems depending on subscriptions, usage, and deployment model.

Which Toast integration methods should an enterprise use?

REST APIs are Toast's primary documented method for current restaurant, menu, order, labor, payment, and operational data. Use selected webhooks for event-assisted processing, then retrieve the authoritative resource when needed. Use scheduled incremental synchronization for resources without suitable event coverage. Public Toast GraphQL and SOAP APIs were not confirmed.

Are Toast webhooks available for event-driven integrations?

Toast provides webhook-style notifications for selected events, including order-related use cases, but coverage is not universal. Martini can receive supported notifications, validate and deduplicate them, retrieve the current Toast object, and invoke downstream processing. Scheduled reconciliation may still be required.

How does Martini synchronize Toast data and handle transformations?

Martini workflows can retrieve paginated or incremental Toast resources, maintain restaurant-level checkpoints, map Toast GUIDs to canonical and target identifiers, and transform JSON structures such as menu hierarchies, order lines, checks, payments, employees, and time entries. Downstream writes can be made idempotent and reconciled when records change.

How are Toast errors, retries, and duplicate events handled?

A reliable design uses rate-limit-aware retry backoff, validation, stable Toast identifiers, event or object-based idempotency, and checkpoints. Martini can route transient failures for retry, isolate permission or schema errors, prevent duplicate downstream writes, and retain processing state for reconciliation of late, corrected, or out-of-order data.

Related Martini documentation

API Workflows

Data Processing

Security

Operations

Connect Toast with your enterprise systems

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