Website Structured Data (JSON-LD) Extractor

🧩 Website Structured Data (JSON-LD) Extractor

🚀 Turn any list of web pages into clean schema.org structured data in seconds.

Give this Actor a list of URLs and it returns the schema.org JSON-LD embedded in each page: Product, Article, JobPosting, Event, FAQPage, Organization, BreadcrumbList, and every other type sites publish for search engines. One row per structured-data object, with the full JSON preserved.

Most modern sites ship rich JSON-LD for SEO. This Actor reads it directly, so you get the site's own clean, structured facts without writing per-site selectors.

For	Use it to
SEO & content teams	Audit structured data across pages, catch missing or malformed markup
Data & RevOps teams	Pull product, job, event, or article facts from pages you already track
Developers	Normalize schema.org data from any set of URLs into one dataset

📋 What it does

• Fetches each URL you provide (US residential proxy by default, so arbitrary sites do not block a datacenter IP).
• Extracts every <script type="application/ld+json"> block, flattening @graph and arrays so each schema.org object is its own row.
• Preserves the complete JSON-LD object alongside its type and name.

💡 Why it matters: you supply the URLs, so there is no anti-bot guesswork. The Actor reads the structured data the site already publishes.

📊 Output

Field	Description
🔗 sourceUrl	The page the record came from
🏷️ type	schema.org @type (e.g. Product, Article, JobPosting)
📝 name	Name / headline / title of the object, if present
📦 data	The full JSON-LD object
🕓 scrapedAt	When this row was collected
⚠️ error	Null on success; a message when a page could not be read or had no JSON-LD

Sample record:

{
  "sourceUrl": "https://www.bbc.com/news",
  "type": "WebPage",
  "name": "BBC News - Breaking news, video and the latest top stories",
  "data": { "@context": "https://schema.org", "@type": "WebPage", "name": "BBC News …" },
  "scrapedAt": "2026-08-23T14:00:00.000Z",
  "error": null
}

🚀 How to use

1. Create a free account w/ $5 credit.
2. Paste your URLs into startUrls, set maxItems.
3. Run it and download the dataset as JSON, CSV, Excel, or XML.

❓ FAQ

Which structured-data formats are supported? schema.org JSON-LD (the format almost every site uses for SEO).

What if a page has no JSON-LD? You get one row for that URL with an error note, so nothing fails silently.

Do I need proxies or keys? No. A US residential proxy is used by default; you can change it in the input.

Can it read product / job / event / article / FAQ pages? Yes. It returns whatever schema.org types the page publishes (Product, JobPosting, Event, Article, FAQPage, and more).

🔗 Recommended Actors

• DOAJ Journals & Subject Classification Scraper
• PubMed Article Metadata Scraper

💡 Pro Tip: browse the complete ParseForge collection for more data-extraction Actors.

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This Actor extracts publicly available structured data from the URLs you provide, for analysis and research. Use it in line with each site's terms.