How to build API integrations with custom objects and field mappings

Custom objects are user-defined data models that extend a CRM or ERP beyond its standard schema, requiring API integrations to adapt to each unique customer schema. Integrating these custom objects involves three main steps: discovering the customer's schema via metadata APIs, allowing customers to configure field mappings through a UI or code, and reliably syncing data at scale. Different mapping approaches, such as declarative mapping, per-field code transformers, and full code-level transformation, cater to varying complexities of data transformation needs. The process also involves managing challenges like schema drift, permission gaps, rate limits, and data validation, with solutions like incremental syncs, checkpointing, and durable execution. Tools like Nango offer a unified interface for managing these integrations, providing structured logs, connection metadata storage, and support for 700+ APIs, thereby easing the implementation and maintenance of custom object integrations while focusing on mapping logic.

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