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Some editions of LinkedIn expose an API, but it is often limited, legacy, or inconsistent between versions, and many on-prem deployments have no usable API at all. Makini gives you one modern REST API for LinkedIn that lets you read and write LinkedIn data, even for legacy or on-prem instances. You build against Makini once instead of integrating with LinkedIn directly.
You integrate LinkedIn through Makini's Unified API. Authenticate once and Makini normalizes LinkedIn data into a single consistent schema you can read from and write to inside your product. The same connection reaches LinkedIn plus 2,000+ other ERP, WMS and CMMS systems, so you build one integration instead of one per system.
Through Makini you can read and write LinkedIn's core records as normalized, standardized resources, in both directions: pull data out of LinkedIn and push updates back in. Every field is mapped to a consistent Makini schema, so you work with the same object model across LinkedIn and every other connected system.
Days, not quarters. Because Makini already builds and maintains the LinkedIn connector, you do not reverse-engineer the integration yourself: you authenticate and start reading and writing LinkedIn data through the Unified API, typically within a few days. A LinkedIn integration built in-house usually takes months plus ongoing maintenance.
Yes. Makini connects to LinkedIn over encrypted connections on SOC 2 Type II certified infrastructure, and handles LinkedIn credentials for you so they are never exposed to your app. You authenticate once, and access runs through Makini's managed, auditable layer. The same security model applies across LinkedIn and every other connected system.
Makini owns the maintenance. When LinkedIn changes its API, versions, or endpoints, Makini updates the connector, and your integration keeps working with no changes on your side. You get a stable Unified API with webhooks, and LinkedIn upkeep stays off your roadmap.
