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Sprinklr Social Integration Guide
Connect Sprinklr Social with enterprise systems through REST APIs, OAuth 2.0 authentication, supported callbacks, and Martini workflows.
Sprinklr Social integration options at a glance
Sprinklr Social primarily integrates through documented REST APIs secured with OAuth 2.0-style bearer tokens. Depending on the API product, tenant, permissions, and connected social channels, these APIs can expose Social Accounts, Posts, Messages, Comments, Profiles, Campaigns, publishing status, and analytics data. Selected event or callback mechanisms may be available, but coverage should be verified for each object and channel. Bulk, asynchronous, reporting, and media operations may also be available for specific API families. Martini can consume these APIs, receive supported callbacks, manage pagination and synchronization watermarks, transform JSON, apply business rules, and expose normalized APIs to downstream systems.
Common Sprinklr Social integration patterns
Common Sprinklr Social data objects used in integrations
Authentication and security considerations
OAuth 2.0-style authentication
Sprinklr Social API access uses an OAuth 2.0-style bearer-token model. The exact grant type, token URL, scopes, tenant context, and required permissions depend on the API product and Sprinklr environment.
Secret protection
- Store client secrets, access tokens, and refresh credentials in Martini secrets or secure environment configuration.
- Use separate applications or credentials for development, staging, and production where practical.
- Do not place credentials in workflow payloads, mappings, logs, or error messages.
Data protection
Messages and Profiles may contain personal data. Define masking, retention, deletion, and access controls before copying data into CRM, service, warehouse, or analytics systems.
Operational considerations for Sprinklr Social integrations
Rate limits and retries
Confirm quotas separately for read, write, reporting, and media endpoints. Use bounded concurrency and exponential backoff for rate-limit and transient server responses, while avoiding retries for authorization or validation failures.
Pagination and state
Implement the pagination or cursor model documented for each endpoint. Persist watermarks, cursors, and job identifiers only after successful processing, and use overlap windows for late-arriving updates.
Events and idempotency
Callbacks may be retried or delivered more than once. Use event identifiers or deterministic keys based on object ID, event type, and timestamp. Schedule reconciliation workflows for unsupported or missed events.
Channel and schema differences
Facebook, Instagram, X, LinkedIn, YouTube, and other networks can impose different rules for content, media, messages, retention, and publishing. Preserve source channels and identifiers, and monitor Sprinklr documentation for API-version and permission changes.
Media and privacy
Validate temporary URLs, file sizes, MIME types, and channel restrictions before transferring media. Avoid logging message content or media URLs when they may contain sensitive information.
Why use Martini instead of scripts or point-to-point integrations?
Centralized orchestration
Martini coordinates Sprinklr Social API calls, callbacks, target-system writes, enrichment, validation, and exception handling in workflows rather than scattering logic across individual scripts.
Reusable integration assets
Teams can expose normalized APIs, reuse authentication and transformation logic, and apply consistent business rules across Salesforce, ServiceNow, Zendesk, data warehouses, and collaboration platforms.
Reliable synchronization
Martini provides workflow patterns for scheduled retrieval, pagination, incremental watermarks, idempotent writes, retries, reconciliation, and monitoring. This is useful when Sprinklr event coverage varies by object, channel, or tenant.
Controlled change management
API configuration, secrets, mappings, and target behavior can be managed as integration assets, helping teams adapt to changing Sprinklr permissions, schemas, channel restrictions, and reporting requirements without maintaining multiple unrelated point-to-point scripts.