Recipe, Event & Job Data Extractor (schema.org JSON-LD)

Millions of websites describe their content in schema.org structured data so Google can show rich results: recipe cards, event listings, Google for Jobs, product prices. This tool reads that data from any page and turns it into clean, normalized rows, one per item:

• Recipes: name, author, ingredients list, step-by-step instructions, prep / cook / total minutes, yield, category, cuisine, keywords, calories and nutrition, rating
• Events: name, start and end, status (scheduled, cancelled, moved online), venue, address, coordinates, online URL, organizer, performers, ticket price, currency, availability, ticket link
• Job postings: title, company, date posted, valid through, employment type, remote flag, locations, salary range with currency and unit, description
• Products: name, brand, SKU, GTIN, price range, currency, availability, rating
• Articles: headline, authors, publisher, published and modified dates, section, keywords
• Businesses: name, address, coordinates, phone, opening hours, price range, cuisine, rating
• FAQs (question and answer pairs), how-to guides, courses, apps & software

Paste the pages, or start from an index page (a recipe category, an events calendar, a careers page) and let it follow links on the same site.

Who it's for

• Food apps and meal planners: ingredients, steps and times from recipe sites.
• Event aggregators and city guides: dates, venues and tickets from venue and organizer sites.
• Job boards and recruiters: postings from company career pages that publish Google for Jobs data.
• SEO teams: see exactly what structured data a page exposes (turn on raw JSON-LD).

Input

Option	Default	What it does
Pages	–	Any URLs
Only these types	all	Recipes, events, jobs, products, articles…
Follow links on the same site	off	Crawl from index pages
Only follow links containing	–	e.g. /recipe/
Max pages / Max items	50 / 1,000	Limits
Include raw JSON-LD	off	The original object too
Respect robots.txt	on	Skip disallowed pages

Output

A real recipe (loveandlemons.com):

{
  "status": "ok",
  "itemType": "Recipe",
  "name": "BEST Hummus",
  "author": "Jeanine Donofrio",
  "prepMinutes": 5,
  "totalMinutes": 5,
  "ingredients": ["…9 items…"],
  "instructions": ["…2 steps…"],
  "rating": 4.96
}

A real job posting (a Lever career page):

{
  "itemType": "JobPosting",
  "title": "Client Partner - Emerging & Scaled, Independent Agency (UK)",
  "company": "Spotify",
  "datePosted": "2026-09-17",
  "employmentType": ["Permanent"],
  "remote": false,
  "locations": [{ "city": "London" }]
}

Generic "Article" wrappers and site-wide organization boilerplate are skipped automatically when a page has a specific item (a recipe, a job…), so you don't pay for noise.

status	Meaning
ok	Item extracted.
no_structured_data	The page has no supported structured data. Not charged.
blocked_by_robots_txt / blocked_by_bot_protection	The site doesn't want bots. Not charged.
unreachable	The page didn't load (some big publishers answer bots with 402/403). Not charged.

Use it from your AI agent (MCP)

Claude, Cursor and other MCP clients can call this tool directly through Apify's MCP server. Add it as an MCP server / connector:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=swiftkit/structured-data",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

Then just ask, for example: "Get the ingredients and total time from this recipe: https://…". Each call is billed like a normal run.

Pricing

You pay per extracted item. Every other status is free. See the Pricing tab.

Limits, honestly

• Only data the site publishes as JSON-LD in its HTML. Pages that add it with JavaScript aren't covered.
• Some large publishers block automated visitors entirely (for example with HTTP 402 or 403). The tool respects that and moves on.
• Recipe instructions and descriptions are the site's own text: use them in line with the site's terms and copyright (ingredients and facts are generally fine; republishing whole recipes may not be).
• People are never extracted as items on their own; author and organizer names appear only as part of the item they belong to.

More tools from SwiftKit

• Product Page Scraper: prices and stock from any shop, with price tracking
• Job Search API: 10,000+ company career sites in one search
• Website to Markdown for AI: clean page content for LLMs

Questions?

Open an issue on the Issues tab.