API (Application Programming Interface)
An API, or Application Programming Interface, is a contract that lets software talk to other software. In a data context, APIs are how conne...
Read definitionA custom connector is one you build yourself when no ready-made connector exists for a source or destination. In Power Automate and Logic Apps it wraps a REST API behind an OpenAPI definition and authentication, so a flow can call it like any built-in connector.
A custom connector is one you build yourself when no ready-made connector exists for a source or destination you need to reach. The prebuilt catalogues are large, Power Platform alone ships more than a thousand connectors, but they never cover every niche ERP or internal system. When yours is missing, you wrap the target's API in a connector of your own.
This is the version most people meet first. In Power Automate, Power Apps and Logic Apps, a custom connector is a wrapper around a REST or SOAP API. You describe the API with an OpenAPI definition (the format has to be OpenAPI 2.0, formerly Swagger) and pick an authentication method: OAuth 2.0, an API key, or basic authentication.
The platform then turns each endpoint into a named action. A raw POST /v2/orders call becomes a "Create order" step anyone can drop into a flow, no code required. Say a local ERP has a REST API but no public connector. You import its OpenAPI file, set OAuth 2.0, rename the endpoints to business actions, and every flow can call it like a built-in connector. It fills the low-code gap an iPaaS tool leaves for services it does not cover.
Behind a friendly action sits real plumbing. A connector that reads data reliably has to handle several things at once:
Authentication. Sign in and refresh tokens with no human present, usually through OAuth 2.0 or an API key.
Pagination. Walk results page by page instead of assuming one response holds everything.
Rate limits and retries. Stay under the API's rate limit, and apply a retry policy with backoff when a call fails or is throttled.
Incremental extraction. Track a cursor or timestamp so each run is an incremental load of new and changed rows, not a full re-pull.
Schema and type mapping. Map the source's JSON fields to typed columns, and decide what happens when the source adds or renames one.
Ingestion tools hand you a framework for this. The Fivetran Connector SDK builds a source connector in Python that manages state and schema, and a Power Query connector does the same in the M language, packaged as a .mez extension.
Building the connector is the cheap part. The bill arrives later, when the upstream API changes. A renamed field, a new required parameter, or a change in pagination or authentication can break every flow or pipeline that depends on the connector. Microsoft's own guidance is blunt: change a field and you must republish the connector, then remove and re-add the connection in each app that used it. A custom connector is a small piece of software you own and watch.
So the choice comes down to one question: who should own that maintenance? Buy, or wait for, a ready-made connector and the vendor absorbs every API change. Build your own and the job is yours, in return for reaching a source nobody else supports. Build when the source is genuinely unsupported, internal, or niche, or when you want to shape raw endpoints into a few clean actions. Lean toward buying when a maintained connector already exists, even an imperfect one, because a connector you never patch is usually worth more than a perfect one you do.
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