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Glossary

Structured Search Output

Structured search output is the typed JSON returned by a search API — title, snippet, link, position, timestamp — that fits directly into an LLM's context window without HTML parsing or custom extraction.

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Definition

Structured search output is the typed JSON returned by a search API — title, snippet, link, position, timestamp — that fits directly into an LLM's context window without HTML parsing or custom extraction.

In Depth

Raw HTML from a search engine breaks LLM token limits and forces every team to write the same parsing layer. Structured search output is the alternative: fields the agent can index by name. Different APIs structure differently — Tavily emphasizes summarized snippets, Exa emphasizes neural-ranked results, Scavio emphasizes multi-platform shape (organic_results, ai_overview, related_questions, knowledge_graph) all in one response. Structured output is what makes search API consumption ten lines instead of two hundred lines per consumer.

Example Usage

Real-World Example

Switching from raw-HTML scraping to structured search output cut the team's parsing code from 400 lines to 12 and made LLM context fit predictably at ~800 tokens.

Platforms

Structured Search Output is relevant across the following platforms, all accessible through Scavio's unified API:

  • google

Related Terms

Multi-Platform Search API

A multi-platform search API is a single REST endpoint that returns structured JSON from several public surfaces — Google...

Grounding LLM Workflows

Grounding LLM workflows is the pattern of injecting verified, fresh, structured context — from search APIs, internal doc...

Agent Architecture

Agent architecture is the set of design choices that turn an LLM prompt into a production system: routing and classifica...

Frequently Asked Questions

Structured search output is the typed JSON returned by a search API — title, snippet, link, position, timestamp — that fits directly into an LLM's context window without HTML parsing or custom extraction.

Switching from raw-HTML scraping to structured search output cut the team's parsing code from 400 lines to 12 and made LLM context fit predictably at ~800 tokens.

Structured Search Output is relevant to google. Scavio provides a unified API to access data from all of these platforms.

Raw HTML from a search engine breaks LLM token limits and forces every team to write the same parsing layer. Structured search output is the alternative: fields the agent can index by name. Different APIs structure differently — Tavily emphasizes summarized snippets, Exa emphasizes neural-ranked results, Scavio emphasizes multi-platform shape (organic_results, ai_overview, related_questions, knowledge_graph) all in one response. Structured output is what makes search API consumption ten lines instead of two hundred lines per consumer.

Structured Search Output

Start using Scavio to work with structured search output across Google, Amazon, YouTube, Walmart, and Reddit.

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