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SurveyMonkey Integration Guide
Connect SurveyMonkey surveys and response data with enterprise applications through its REST API, OAuth 2.0 authentication, selected-event webhooks, and bulk response operations.
SurveyMonkey integration options at a glance
SurveyMonkey’s primary integration surface is its version 3 REST API, which exposes surveys, questions, collectors, responses, response details, and users through JSON resources. OAuth 2.0 provides delegated authorization with application credentials, scopes, redirect URIs, and bearer tokens. SurveyMonkey also supports webhook-style notifications for selected response, survey, and collector events, although coverage is not universal. Bulk response or export operations can support larger synchronizations. Martini can consume these APIs, receive supported webhook notifications, schedule reconciliation workflows, paginate through collections, transform survey answers, and write normalized results to enterprise applications or databases.
Common SurveyMonkey integration patterns
Common SurveyMonkey data objects used in integrations
Authentication and security considerations
OAuth 2.0 authorization
SurveyMonkey’s documented API authorization model uses OAuth 2.0. Applications typically use a developer application, client ID and secret, configured redirect URI, requested scopes, and bearer access tokens.
Protecting credentials
Martini should keep client credentials, access tokens, refresh tokens, and environment-specific values in protected configuration rather than embedding them in workflows or payload mappings.
Scope and endpoint control
- Request only the SurveyMonkey scopes required for Surveys, Questions, Collectors, Responses, Users, or related resources.
- Validate webhook requests and resource identifiers before retrieving or writing data.
- Limit downstream access to the fields and systems required by the business process.
Operational considerations for SurveyMonkey integrations
Pagination and volume
SurveyMonkey collection endpoints may be paginated. Workflows should follow pagination links or fields, use controlled page sizes, checkpoint progress, and consider documented bulk response operations for large historical loads.
Rate limits and retries
Account, plan, application, and endpoint limits can vary. Implement bounded retries with exponential backoff for throttling and transient failures, and schedule reconciliation after interrupted processing.
Idempotency and lifecycle status
Webhook notifications may be repeated, and Responses may have different completion or lifecycle states. Persist Response or event identifiers, distinguish completed from partial or otherwise non-final responses, and use duplicate-safe target writes.
Schema changes
Survey authors can change wording, order, answer choices, pages, required status, and collector configuration. Preserve stable IDs, validate answer structures, and route unmapped questions or answer types to an exception path.
Testing and observability
Record Survey, Collector, Response, and Question IDs, endpoint status, pagination position, retry count, mapping failures, and downstream correlation IDs. Test representative answer types and changes before production deployment.
Why use Martini instead of scripts or point-to-point integrations?
Centralized orchestration
Martini coordinates webhook intake, REST retrieval, scheduled reconciliation, pagination, transformation, business rules, and downstream writes in workflows rather than scattering logic across scripts.
Reusable integration assets
Common authentication, response normalization, validation, retry, and deduplication logic can be reused across SurveyMonkey integrations and target applications.
Reliable synchronization
- Combine selected-event notifications with scheduled reconciliation.
- Apply consistent error handling, checkpoints, and idempotent writes.
- Expose controlled APIs when other systems need a stable integration façade.
Maintainable mappings
Visual mappings and workflow transformations make survey-driven data structures easier to adapt as Questions, answer choices, and downstream schemas evolve, while custom logic remains available for exceptional cases.