Migrating a Zapier or Make automation to a new geocoding host
No-code automations built on a geocoding step need a different migration approach than custom code does. Here is how to handle that switch.
Mapping error codes between providers before you switch
Success responses get most of the attention in a migration, since they are what a demo shows and what a first round of testing usually checks. Error responses get far less attention, and that is exactly backwards, because error handling code is often what breaks first and most visibly in production when a provider changes underneath an application.
Every geocoding and location data provider has its own conventions for signaling failure: some use HTTP status codes exclusively, some embed a status field inside an otherwise 200-status JSON response, some distinguish between "no results found" and "invalid request" with different codes, and some collapse both into a generic error. An application's retry logic, user-facing error messages, and monitoring alerts are all typically built around one specific provider's error conventions, sometimes without anyone documenting that dependency explicitly.
Before switching providers, it is worth building an explicit mapping table between the old provider's error responses and the new one's, covering at minimum:
- No results found for a valid but unmatched query, as distinct from a malformed or invalid request
- Rate limit exceeded, and whether the response includes any information about when to retry
- Authentication failures, including expired, missing, or malformed credentials
- Server-side errors on the provider's end, as distinct from client-side request errors
- Any provider-specific status values your code checks explicitly by name or number
My Geocode documents its error responses and status conventions at /docs/errors/, and every response also carries quota headers, X-Quota-Limit, X-Quota-Used, X-Quota-Free-Remaining, X-Quota-Network-Used, X-Credits-Remaining, X-Key-IPs-Used, X-Key-IPs-Limit, and X-Quota-Reset, which cover a category of information, quota and rate status, that some providers bury inside error response bodies instead of exposing directly in headers. Checking whether your current retry logic parses quota information from a response body versus a header is a good specific item to add to a migration checklist, since header-based quota information is generally easier to read without touching the response parsing path used for actual data.
A practical way to build the mapping table is to deliberately trigger each error condition against both the old and new provider in a test environment, rather than relying on documentation alone, since documentation and actual behavior do not always match exactly, on any provider. Send a malformed request, exhaust a small test quota deliberately, and send an invalid key, then record exactly what each provider returns for each case.
This kind of error mapping work rarely shows up in a migration's project plan because it does not produce a visible feature, but it is disproportionately responsible for how a migration is remembered afterward. A migration that changes successful responses cleanly but leaves error handling broken tends to generate far more support tickets, in the first weeks after cutover, than one that got the happy path only partly right.