Glossary

What Is Structured Data?

Structured data is information organized in a predictable schema of fields and types, such as JSON or a table, making it far easier to store and analyze than the free-form text of a rendered page.

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Definition

What is Structured Data?

A plain-English explanation.

Structured data is information organized in a predictable schema of fields and types, such as JSON or a table, making it far easier to store and analyze than the free-form text of a rendered page.

Why it matters

Structured Data in practice

How it shows up in proxy and scraping work.

Understanding structured data helps you choose the right proxy setup, avoid blocks, and get cleaner data. It connects to JSON, CSV Export, Data Extraction.

Providers

Where this applies

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FAQ

Frequently asked questions

Quick answers for buyers.

What does Structured Data mean?

Structured data is information organized in a predictable schema of fields and types, such as JSON or a table, making it far easier to store and analyze than the free-form text of a rendered page.

Why is Structured Data important for proxies?

Structured Data affects how well your proxies avoid detection and deliver clean data. Matching it to your workflow reduces blocks and wasted bandwidth.

How does Structured Data relate to other proxy concepts?

It connects to JSON, CSV Export, Data Extraction, which together shape a reliable setup.

Where can I learn more?

Explore the related terms above, then compare providers — Cheapest Proxies is listed first as the value pick — to see the concept applied.

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