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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallTo extract Schema.org Microdata, find elements marked with itemscope, read each item’s type from itemtype, then collect its itemprop values. Recurse into nested items, follow any itemref references, and validate the result. The key is to follow HTML’s rules for where each value comes from: the value may be text, a URL, or a nested item—not always the visible text on the page.
How Microdata extraction works
Microdata is an HTML annotation syntax for embedding machine-readable data in existing page content. Schema.org provides the vocabulary—the types such as Article and properties such as headline—while HTML Microdata attributes express that vocabulary in the document. Schema.org also supports RDFa and JSON-LD; the choice of syntax depends on the page and consuming system, rather than a universal rule that one is always best. MDN’s Microdata guide and Schema.org’s Getting Started guide explain the roles of markup and vocabulary.
itemscopestarts an item and establishes the boundary for its properties.itemtypeidentifies the item’s type using one or more absolute vocabulary URLs, commonly a URL such ashttps://schema.org/Article.itempropnames a property belonging to an item. Its value is determined by the element carrying it.itemreflets an item refer to property-bearing elements elsewhere in the same document.
Think of extraction as building a graph of items and values, not as collecting every attribute into a flat list. Nested entities remain nested; repeated properties remain repeated.
Read property values according to the HTML element
A property’s value is not always the element’s text. For ordinary text-bearing elements, use the element’s text content. Some elements expose a specific attribute instead: for example, an <a> contributes its href, an <img> its src, and a <time> its datetime when present. meta and data elements also have defined value attributes. Consult the HTML Microdata rules rather than applying a single text-extraction rule to every tag; the MDN guide describes the element-specific behavior.
Property names can be space-separated, so a single itemprop attribute can associate the element’s value with more than one property. Preserve the value for each property name, and preserve multiple occurrences of the same property rather than overwriting earlier values.
Extract Microdata step by step
- Parse the HTML document. Work with the document tree, not a regular-expression scan of raw markup. A tree lets you distinguish descendants, nested scopes, and referenced elements.
- Find item scopes. For each element with
itemscope, create an item record. Read itsitemtypeas the type URL when present and itsitemidwhen present. - Collect properties in scope. Inspect descendant elements carrying
itempropand derive each property value from that element’s Microdata value rule. Do not accidentally assign a nested item’s own properties to its parent. - Build nested items. When a property-bearing element also starts an
itemscope, represent the property value as a child item object, with its own type, optional identifier, and properties. - Follow
itemref. For each ID referenced by an item’sitemref, locate the matching element and collect its property-bearing content as belonging to that item, while still respecting nested scopes. - Keep repeated values. Store each property as one or more values. Use an array when the property appears more than once; don’t silently discard duplicates.
- Resolve and validate semantics. Check type and property names against the relevant Schema.org type definitions, then validate the extracted markup and investigate warnings or unexpected output.
Example: an Article with an ImageObject
This small document shows text, URL-bearing elements, a machine-readable date, and a nested item:
<div itemscope itemtype="https://schema.org/Article">
<h1 itemprop="headline">How to Extract Structured Data</h1>
<a itemprop="author" href="/authors/lee">Lee Chen</a>
<time itemprop="datePublished" datetime="2026-09-29">September 29, 2026</time>
<div itemprop="image" itemscope itemtype="https://schema.org/ImageObject">
<img itemprop="contentUrl" src="/images/article.png" alt="">
</div>
</div>The outer scope is an Article. Its headline value comes from text; author is attached to an anchor, whose URL is the relevant value; and datePublished uses the machine-readable datetime value. The image property is another item, an ImageObject, whose contentUrl comes from the image URL. Whether a particular property is appropriate for a type should be checked against the current Schema.org definition; the sample illustrates extraction structure, not a guarantee that every page meets a consumer’s eligibility rules.
Handle nested items and itemref carefully
Nested items
Nested scopes express a relationship between entities. A product can contain an Offer, for example, or an Article can contain an ImageObject. Keep the nested item as an object under the parent property instead of flattening its type and properties into the parent. This retains the meaning of the relationship and avoids collisions when both items use the same property name.
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Detached properties with itemref
Sometimes the item’s properties are not all inside its element. In that case, its itemref attribute can list the IDs of elements elsewhere in the same document. Resolve each ID, then process the referenced element’s property-bearing content as part of the item. Do not treat an arbitrary element with an ID as a property: it needs Microdata property markup, and nested scopes still define their own boundaries. See MDN’s explanation of Microdata attributes for the documented relationship.
Choose an output shape that preserves meaning
A useful extracted representation is an item object containing a type URL, an optional item identifier, and a map from property names to one or more values. A value can be text, a resolved URL, or another item object. For example, the sample above can be represented conceptually as:
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{
"type": "https://schema.org/Article",
"properties": {
"headline": ["How to Extract Structured Data"],
"author": ["/authors/lee"],
"datePublished": ["2026-09-29"],
"image": [{
"type": "https://schema.org/ImageObject",
"properties": {
"contentUrl": ["/images/article.png"]
}
}]
}
}This is an illustrative data shape, not a prescribed serialization format. Resolve relative URLs against the document’s base URL when your application needs canonical absolute URLs, and preserve source values if downstream code needs to distinguish the original markup from its resolved form. A production parser should also handle absent attributes, empty text, multiple property names, repeated properties, and malformed or incomplete markup without inventing values.
Validate syntax and vocabulary separately
Validation helps catch two different classes of problem. First, the markup may not parse as intended: a missing scope, incorrect nesting, or unresolved reference can change which item owns a property. Second, the markup can be syntactically readable but semantically wrong: a property may not fit the declared type, or a type/property name may be misspelled. Schema.org defines vocabulary meaning; the HTML Microdata specification defines how annotations are read.
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Use the Schema Markup Validator to inspect the extracted types and values, and compare property names with the relevant Schema.org documentation. A validator can reveal parsing and vocabulary issues, but passing validation alone does not establish that a search engine or other consumer will display a result or accept it for a particular feature.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Common extraction problems and fixes
- Only the visible label is returned. The parser may be reading text for every element. Apply the value rule for the actual tag, including URL attributes and machine-readable date or data attributes.
- A child property appears on the parent. The traversal is crossing a nested
itemscopeboundary. Build the nested item separately and attach it to the property that introduces it. - Properties outside the item disappear. Check whether the item uses
itemref; resolve its referenced IDs in the same document and process the referenced properties. - Only one value survives. The output map likely overwrites repeated property names. Store property values as arrays or another multi-value structure.
- A relative link looks incomplete. The markup may legitimately contain a relative URL. Resolve it against the document’s base URL if the consuming application needs an absolute URL.
- The parser returns unexpected or missing items. Inspect the actual parsed DOM and validate the markup. Browser-generated or client-rendered content can differ from the original response HTML, so make sure the document being parsed is the one that contains the annotations.
- A validator accepts markup but the consumer ignores it. Check that the type and properties are supported and semantically appropriate for that consumer. Syntax validity does not guarantee eligibility or a displayed result.
When to use Microdata rather than another syntax
Schema.org vocabularies can be expressed using Microdata, RDFa, or JSON-LD. Microdata is useful when the annotations should live alongside the content in HTML. For server-side extraction, consider the parser and document pipeline available in your stack. Also consider what syntax the target consumer supports, how nested and repeated entities will be maintained, and how the markup will be validated over time. The cited Schema.org guidance establishes the availability of these syntaxes, not a universal winner; choose based on the page and system you need to support.
Or skip the browser setup
If the page is difficult to inspect or you need a rendered screenshot alongside your extraction workflow, ScreenshotNeo is a website screenshot API and MCP server—not a Microdata parser. It takes a URL and returns an image or PDF. Here is the one-call cURL example; see the ScreenshotNeo API documentation for parameters and response details:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpScreenshotNeo removes cookie or consent banners, newsletter popups, and chat widgets before capture, with each step configurable. Bot checks, blank pages, failed loads, timeouts, and cache hits are not billed; response headers identify the page verdict and billing status. Its MCP server provides take_screenshot, get_page_info, and capture_pdf tools for AI agents. The Free plan includes 1,000 screenshots per month without a card; paid plans start at $5 for 3,000 screenshots.
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Frequently Asked Questions
Does Microdata extraction require JavaScript?
No. Microdata is encoded in HTML and can be parsed from a document tree; JavaScript is only needed if your workflow depends on content created or changed after the initial HTML is delivered.
Does valid Schema.org Microdata guarantee a rich result in search?
No. Validation checks markup and vocabulary, but a search engine decides separately whether a page qualifies for a particular feature or displays it.
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