Extract schema.org JSON-LD and custom fields from a page
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Reads a page's schema.org JSON-LD (articles, products, recipes, events) plus any fields you name with CSS selectors, and returns them as JSON. This example pulls the Article JSON-LD, headline and first paragraph from a Wikipedia page. Use it to check structured data or feed pages to an agent.
Input
Output fields
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The Web Page to JSON & JSON-LD Extractor Actor is ready to run with the inputs already set for "Extract schema.org JSON-LD and custom fields from a page". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Extract schema.org JSON-LD and custom fields from a page" task
The Web Page to JSON & JSON-LD Extractor Actor will start running based on the input automatically. You can also change all the input fields, like URLs and extra fields (optional), to match your specific use case.
Receive the "Extract schema.org JSON-LD and custom fields from a page" 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, status, OK, 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 "Extract schema.org JSON-LD and custom fields from a page" task via API.

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The JSON-LD extraction task returns each page's parsed JSON-LD blocks, metadata, clean text and the custom fields you defined in extract.
The JSON-LD extraction task takes up to 50 named CSS selectors in extract, such as {"headline":"h1"}. A selector with no match returns null.
The JSON-LD extraction task returns what the page publishes. It doesn't check it against Google's rich result rules.