SEO Audit & Schema Markup Checker: JSON-LD, Open Graph
Pricing
from $0.80 / 1,000 pages
SEO Audit & Schema Markup Checker: JSON-LD, Open Graph
Extract JSON-LD (schema.org), Open Graph, Twitter cards, microdata, feeds and meta tags from any page, score it 0-100 on 15 on-page SEO checks, and flag schema items missing fields Google needs for rich results. $1 per 1,000 pages.
Pricing
from $0.80 / 1,000 pages
Rating
0.0
(0)
Developer
Tinda Cloud
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
21 days ago
Last modified
Categories
Security
Limited permissionsShare
Schema & SEO Audit: JSON-LD, Open Graph & 0-100 Score
A JSON-LD extractor for any web page. Every page already tells machines what it is — product, article, job posting, recipe, event — and this Actor hands you that data, clean, without a single selector.
How to use
- Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
- Open SEO Audit & Schema Markup Checker, fill in the input (the form is pre-filled with a working example) and click Start.
- Watch results stream into the dataset table while the run is going.
- Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.
What data can this tool extract?
| Source | What it holds |
|---|---|
| JSON-LD (schema.org) | Product prices, article authors and dates, job postings, recipes, events, ratings |
| Open Graph + Twitter cards | Title, description, image, type — what a link preview shows |
| Microdata | The older itemprop markup, still common on shops |
| Meta tags | Description, keywords, author, robots, canonical, language, generator |
| Feeds | RSS / Atom / JSON feed URLs declared by the page |
| Links | hreflang alternates, manifest, favicon |
schemaTypes lists every type found, so you can tell at a glance whether a page is a Product, an Article or a JobPosting.
Why scrape structured data this way?
Scrapers break because they chase CSS classes. Structured data is maintained by the site itself — they want it read correctly, because Google reads it too. For AI agents that need to know what a page is before deciding what to do with it, this is the cheapest possible first call.
How to extract structured data from a page
| Field | What it does |
|---|---|
urls | Any pages |
include | Pick which parts you want |
schemaTypes | Keep only pages declaring e.g. Product, JobPosting |
onlyPagesWithSchema | Skip pages with none — not charged |
Input reference
Every option at a glance. A minimal input that works as-is:
{"urls": ["https://www.rottentomatoes.com/m/shawshank_redemption","https://apify.com/store","https://www.allrecipes.com/recipe/23600/worlds-best-lasagna/"],"include": ["jsonLd","openGraph","microdata","meta","feeds","links"],"seoAudit": true,"maxResults": 1000}
All fields:
urls(Page URLs) — Any pages. The Actor returns the machine-readable data the page already publishes — no guessing, no selectors.include(What to extract) — Leave empty for everything. Any of:jsonLd,openGraph,microdata,meta,feeds,links; default["jsonLd", "openGraph", "microdata", "meta", "feeds", "links"].seoAudit(SEO audit (score 0-100)) — Score each page 0-100 on 15 on-page checks (title, meta description, canonical, H1, lang, Open Graph, JSON-LD, image alt text, noindex) and list what failed. Also flags schema.org items missing fields Google needs for rich results. Defaulttrue.schemaTypes(Only these schema types) — Keep only pages that declare one of these, e.g. “Product”, “Article”, “JobPosting”, “Recipe”, “Event”, “LocalBusiness”.onlyPagesWithSchema(Only pages with structured data) — Skip pages that publish none — you are not charged for them. Defaultfalse.maxResults(Max results) — Total limit. Default1000.proxy(Proxy) — Apify Proxy is used as a fallback when a site blocks a direct request.
What the structured data output looks like
{"url": "https://docs.apify.com/","title": "Apify Documentation","jsonLd": [],"jsonLdCount": 0,"schemaTypes": [],"openGraph": {"title": "Apify Documentation","image": "https://apify.com/og-image/docs-article","url": "https://docs.apify.com/","locale": "en"},"twitterCard": {"card": "summary_large_image","image": "https://apify.com/og-image/docs-article"},"microdata": [],"meta": {"description": null,"keywords": null,"author": null,"robots": null,"generator": "Docusaurus v3.10.2","viewport": "width=device-width, initial-scale=1.0","themeColor": null,"canonical": "https://docs.apify.com/","language": "en","charset": "UTF-8"},"feeds": [],"alternateLanguages": [{"hreflang": "en","url": "https://docs.apify.com/"},{"hreflang": "x-default","url": "https://docs.apify.com/"}],"manifestUrl": null,"faviconUrl": "https://docs.apify.com/img/favicon.ico","requestedUrl": "https://docs.apify.com/platform","scrapedAt": "2026-09-21T11:09:40.228Z"}
SEO audit: a 0-100 score per page
With seoAudit on (default), every page gets seoScore and the list of failed checks in seoIssues. The 15 checks and their weights are in seoChecks: title present and 15-65 characters, meta description present and 50-165 characters, canonical link (and on the same site), exactly one H1, lang attribute, mobile viewport, Open Graph title and image, Twitter card, JSON-LD present and valid, alt text on 90%+ of images, and no noindex.
schemaWarnings lists schema.org items missing fields Google needs for rich results, for example Product: missing offers or review or aggregateRating or Article: missing datePublished.
How fast is it and what does it cost?
4 pages took 3 seconds, eight at a time. Pages that cannot be read are reported and not charged.
Pricing — what you pay per page
This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:
| Event | Free plan | Bronze | Silver | Gold+ |
|---|---|---|---|---|
| page — One page with its JSON-LD, Open Graph, microdata and feeds | $1.00 | $0.90 | $0.85 | $0.80 |
There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.
Tips
- Start with a small
maxResults(say 20) to check the output, then raise it — you only pay per result. - Keep the default
proxysetting — it is only used as a fallback when a direct request is blocked. - Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.
Automate & schedule
Run this Actor on autopilot and pull results into your own stack:
- Apify API — start runs, fetch datasets and manage schedules over REST.
- apify-client for JavaScript and apify-client for Python — official SDKs.
- Schedules — run it on a cron to keep your data fresh.
- Webhooks — trigger downstream actions the moment a run finishes.
JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });const run = await client.actor('tindacloud/structured-data-extractor').call({"urls": ["https://www.rottentomatoes.com/m/shawshank_redemption","https://apify.com/store","https://www.allrecipes.com/recipe/23600/worlds-best-lasagna/"],"include": ["jsonLd","openGraph","microdata","meta","feeds","links"],"seoAudit": true,"maxResults": 1000});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} records`);
Python
from apify_client import ApifyClientclient = ApifyClient("MY_APIFY_TOKEN")run = client.actor("tindacloud/structured-data-extractor").call(run_input={"urls": ["https://www.rottentomatoes.com/m/shawshank_redemption","https://apify.com/store","https://www.allrecipes.com/recipe/23600/worlds-best-lasagna/"],"include": ["jsonLd","openGraph","microdata","meta","feeds","links"],"seoAudit": True,"maxResults": 1000})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
cURL — run and get the results in one request:
curl -X POST "https://api.apify.com/v2/acts/tindacloud~structured-data-extractor/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"urls": ["https://www.rottentomatoes.com/m/shawshank_redemption", "https://apify.com/store", "https://www.allrecipes.com/recipe/23600/worlds-best-lasagna/"], "include": ["jsonLd", "openGraph", "microdata", "meta", "feeds", "links"], "seoAudit": true, "maxResults": 1000}'
Integrate with any app
Connect the dataset to thousands of apps — no code required:
- Make — multi-step automation scenarios.
- Zapier — push new records straight into your CRM or sheet.
- n8n — self-hosted workflows.
- Slack — get notified when a run finishes or finds something new.
- Google Drive / Sheets — auto-export every run to a spreadsheet.
- Airbyte — pipe results into your data warehouse.
- GitHub — trigger runs from commits or releases.
- Webhooks — call your own endpoint when a run succeeds or fails.
Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "read the product schema on these 40 pages and tell me which ones are missing fields Google needs" and let it run this Actor for you.
Agent-ready: autonomous payments (x402 & Skyfire)
This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:
- x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
- Skyfire — agent-to-service payments with pre-funded Skyfire tokens.
Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.
Ready-made examples
Open one, change the fields, press Start — nothing to configure:
Frequently asked questions
Do I need an API key or a login?
No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.
How do I export the results?
Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.
Can I run this on a schedule?
Yes. Apify schedules run it every hour, day or week without you being there. Each run is independent, so a schedule gives you a fresh snapshot every time.
Can I call it from Python or JavaScript?
Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.
What does it cost?
You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.
Is this data public?
Everything collected here is what any web page shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.
Related scrapers
- Website to Markdown for AI & RAG — the readable content
- Price & Stock Monitor for Any Shop — uses this data to track prices
- Website Change Monitor — tells you when any of it changes