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Structured Data

Data

Definition

Structured data is information organized in a predefined format that makes it easy for machines to parse and understand. On the web, it typically refers to schema.org markup embedded in HTML pages.

How It Relates to CrawlForge

Structured data on websites includes JSON-LD, microdata, and RDFa annotations that describe the content in machine-readable format. Search engines use it for rich snippets, and scrapers can leverage it for reliable data extraction.

CrawlForge extract_metadata automatically detects and parses structured data from any page. This provides a shortcut for data extraction -- instead of writing CSS selectors for each field, you can often get product prices, ratings, availability, and more directly from the page's structured data.

Related CrawlForge Tools

extract_metadata
2 credits
scrape_structured
3 credits

Related Terms

JSON-LD

JSON-LD (JSON for Linking Data) is a method of encoding structured data using JSON format. It is the preferred format for embedding schema.org markup in web pages for search engine understanding.

Schema Markup

Schema markup is a vocabulary of tags (from schema.org) that you add to HTML to improve how search engines read and represent your page. It defines types like Product, Article, Organization, and their properties.

JSON

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and machines to parse. It is the standard format for API responses and structured data exchange.

Structured Output

Structured output refers to data returned in a predictable, machine-readable format like JSON, rather than free-form text. It enables reliable downstream processing by AI agents and data pipelines.

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