API Search Engine — category guide

How search engine APIs work

A search engine API takes a query and returns results over HTTP, usually as JSON. Behind the endpoint, the provider runs a search against its own web index or another index, ranks the matches, and returns some mix of links, titles, snippets, passages or a finished answer. Some providers also fetch full page text when you ask for it. The request itself is simple. The differences show up in what the provider does before it returns.

Developers usually weigh four things: freshness, depth, format and cost. Freshness is how recently the index was updated. Depth is how many pages are read for each query. Format is whether the output is raw links or text ready for a model. Cost is the unit you pay for, which might be a request, a credit, a token or a page. Those four things pull in different directions, so no single provider wins on all of them.

The four sub-jobs

• SERP. The provider returns the results page a search engine would show. This suits rank tracking, link research and lead lists.
• AI search. The provider searches, reads, and returns passages or sources for a model. This suits agents and research tools that must write from evidence.
• Scrape or fetch. The provider reads one known URL and returns clean text or markdown. This suits pipelines that already know which pages matter.
• Answer. The provider returns a finished response, often with citations. This suits chat and quick lookups where you accept the provider's synthesis.

Many production systems combine two of these. A common pattern is an AI search call for the sources, then a scrape call for the full text of the best one or two pages. For background on how retrieval feeds a model, see the Hyperresearch Answers page, which describes its own approach. Each job has its own failure mode, so test the one you need rather than the whole category.

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