ScrapIn alternative

Credits versus dollars

Most providers in this category, ScrapIn included, price in credits. Credits are fine until you try to answer a specific question — what did that failed batch actually cost me, is the search endpoint worth using at this volume, which of my three pipelines is eating the budget.

Here a call costs dollars, the amount is on the response in X-Request-Cost, and the request log shows it per call. You can answer those questions from your own data without converting through a credit rate that may itself vary by endpoint.

This is a preference, not a law of nature. If credits have never bothered you, it is not a reason to move.

Where they win

They offer email finding. We do not, on any endpoint, at any price. If your workflow depends on getting a work email from a profile, that is decisive and you should stay where you are.

They are also cheaper per lookup than our published rates and have a longer track record. Both matter, and neither is something we can argue away.

What we would claim

Failed calls are never charged, and that is enforced in the metering path rather than being a support policy — if the upstream fetch fails you get a 502 and your balance is untouched.

Concurrency is a published number per tier rather than an opaque rate limit, and going over returns 429 with a Retry-After instead of a timeout. Pricing is admin-editable and every change is visible in the same table customers see.

We have not benchmarked ScrapIn's data quality against ours and we are not going to publish a comparison we did not run. Take the free balance and compare on your own records — that is the only benchmark that matters for your use case anyway.

Switching between per-call providers

Because both are per-call APIs over GET requests, moving between them is mostly a mapping exercise rather than a re-architecture.

What actually takes the time is the response envelope. Field names are broadly recognisable across providers, but nesting differs, and null-handling differs more — one provider omits a field entirely where another returns an empty array. Code that assumed the first shape breaks quietly on the second.

The approach that works: put a thin translation layer between the provider and your domain model, so a provider swap touches one file. Teams that parse provider JSON directly into business logic pay for it every time they switch, and in this category you should assume you will switch at least once.

Run both against a sample of records where you already know the answers before cutting over. That surfaces field-level differences far faster than reading two sets of documentation.