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Glossary

Structured SERP Data

Structured SERP data is search engine results delivered as typed JSON fields — title, URL, snippet, position, price, rating, date — rather than raw HTML requiring parsing.

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Definition

Structured SERP data is search engine results delivered as typed JSON fields — title, URL, snippet, position, price, rating, date — rather than raw HTML requiring parsing.

In Depth

Raw HTML scraping of Google search results requires maintaining CSS selectors that break 3-5 times per year as Google updates its DOM. Parsed SERP APIs deliver the same data as stable JSON contracts. The engineering cost difference: a raw scraper requires 20-40 hours to build and 5-10 hours/year in maintenance; a SERP API integration requires 1-2 hours to integrate and zero maintenance. Structured fields vary by result type. Web results include: `title` (string), `url` (string), `snippet` (string, 150-200 chars), `position` (int), `date` (ISO string when available). Shopping results add `price` (string with currency), `rating` (float), `reviews` (int), `seller` (string). Knowledge panel results add `description`, `attributes` (key-value pairs), `website`. These fields are directly consumable by LLMs without parsing logic. For AI agent use specifically, structured data enables prompt injection without preprocessing. A snippet field can be directly inserted into a system prompt: 'According to [source]: [snippet]'. Raw HTML injected into a prompt consumes 10-50x more tokens for the same information density, increasing both cost and the likelihood of the LLM losing focus on relevant content in a large HTML block.

Example Usage

Real-World Example

An agent injecting structured SERP snippets used 850 tokens per grounded answer. The same agent injecting raw HTML for the same queries used 11,200 tokens per answer — 13x more, at proportionally higher LLM API cost.

Platforms

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

  • google
  • amazon
  • walmart

Related Terms

SERP Grounding Accuracy

SERP grounding accuracy is the improvement in factual correctness achieved when an LLM's response is generated using liv...

Two-Tier Agent Retrieval

Two-tier agent retrieval is an architecture where an AI agent uses a low-cost structured search API for initial discover...

Search-Augmented RAG

Search-augmented RAG is a retrieval-augmented generation pattern where live search API results replace a vector database...

Frequently Asked Questions

Structured SERP data is search engine results delivered as typed JSON fields — title, URL, snippet, position, price, rating, date — rather than raw HTML requiring parsing.

An agent injecting structured SERP snippets used 850 tokens per grounded answer. The same agent injecting raw HTML for the same queries used 11,200 tokens per answer — 13x more, at proportionally higher LLM API cost.

Structured SERP Data is relevant to google, amazon, walmart. Scavio provides a unified API to access data from all of these platforms.

Raw HTML scraping of Google search results requires maintaining CSS selectors that break 3-5 times per year as Google updates its DOM. Parsed SERP APIs deliver the same data as stable JSON contracts. The engineering cost difference: a raw scraper requires 20-40 hours to build and 5-10 hours/year in maintenance; a SERP API integration requires 1-2 hours to integrate and zero maintenance. Structured fields vary by result type. Web results include: `title` (string), `url` (string), `snippet` (string, 150-200 chars), `position` (int), `date` (ISO string when available). Shopping results add `price` (string with currency), `rating` (float), `reviews` (int), `seller` (string). Knowledge panel results add `description`, `attributes` (key-value pairs), `website`. These fields are directly consumable by LLMs without parsing logic. For AI agent use specifically, structured data enables prompt injection without preprocessing. A snippet field can be directly inserted into a system prompt: 'According to [source]: [snippet]'. Raw HTML injected into a prompt consumes 10-50x more tokens for the same information density, increasing both cost and the likelihood of the LLM losing focus on relevant content in a large HTML block.

Structured SERP Data

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

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