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Product and article schema from a list of URLs

Reads 20 public pages — Steam and WooCommerce product pages, HubSpot product pages, a Google Play app, and articles from the BBC, TechCrunch, Wikipedia, GOV.UK and the Apify blog — and returns one row each with the normalised product (price, currency, availability, rating) or article (headline, dates, section, tags, publisher), plus the JSON-LD and microdata with person names removed.

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Website Metadata API — Schema.org, Open Graph & JSON-LD
Website Metadata API — Schema.org, Open Graph & JSON-LDinsight.solutions/website-metadata-api
URL
Schema types
Normalised entities
JSON-LD
+3 fields
Text
Number
Boolean
List
Object

Input

URLs:https://store.steampowered.com/app/413150/Stardew_Valley/+19
Include normalised entities:true
Include JSON-LD:true
Include microdata:true
Respect robots.txt:true

Output fields

URL
Schema types
Normalised entities
JSON-LD
Microdata
Unparseable JSON-LD blocks
Redactions

How it works

Sign up on Apify or log in

The Website Metadata API — Schema.org, Open Graph & JSON-LD Actor is ready to run with the inputs already set for "Product and article schema from a list of URLs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Product and article schema from a list of URLs" task

The Website Metadata API — Schema.org, Open Graph & JSON-LD Actor will start running based on the input automatically. You can also change all the input fields, like URLs, include normalised entities, and more, to match your specific use case.

Receive the "Product and article schema from a list of URLs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, schema types, normalised entities, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Product and article schema from a list of URLs" task via API.

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Connect "Product and article schema from a list of URLs" with 100+ integrations, or run it via API or MCP.

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