How to Normalize API Data Before It Reaches Your Application

Every third-party API names and formats its fields differently. If you let those differences into your application, you end up with per-source parsing logic scattered across the codebase — brittle glue that breaks the moment a source changes.

Normalize at the edge

The fix is to normalize incoming data at the boundary, before it reaches your domain logic. Your application then only ever sees one canonical shape, no matter how many sources feed it.

{ "Phone": "(704) 555-1234", "Amount": "$1,200.00" }

{ "phone": "+17045551234", "amount": 1200 }

Map, then normalize

If the source also uses different field names, reshape first with Map, then normalize the values. Map handles the structure (renames, coalescing, restructuring); Normalize handles the values.

# 1. Reshape to your schema
curl -X POST https://zapinner.com/api/v1/map \
  -H "Authorization: Bearer $ZAPINNER_API_KEY" -H "Content-Type: application/json" \
  -d '{ "records": [ ... ], "target": { "phone": "Phone", "amount": "Amount" } }'

# 2. Normalize the values
curl -X POST https://zapinner.com/api/v1/normalize \
  -H "Authorization: Bearer $ZAPINNER_API_KEY" -H "Content-Type: application/json" \
  -d '{ "records": [ ... ], "types": { "phone": "phone", "amount": "currency" } }'

Why do it as a service

A normalization library lives in your codebase and becomes your problem the moment a format shifts. A deterministic endpoint keeps a stable contract across every source and language, and the same input always produces the same output — safe to cache and test.