SEO Metadata Extractor - Full SEO Audit in One Call

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Extract every SEO signal from any website in one call — perfect for SEO audits, competitive intelligence, and content planning. Point the actor at a list of URLs and get back the full SEO fingerprint of every page: title, meta description, Open Graph, Twitter Cards, Schema.org JSON-LD, canonical, hreflang, H1/H2 structure, favicon, and an automated SEO score.

What you get

• Basic SEO — <title>, meta description, keywords, canonical, robots, viewport, lang, charset
• Open Graph — og:title, og:description, og:image, og:url, og:type, og:site_name, og:locale
• Twitter Cards — twitter:card, twitter:title, twitter:description, twitter:image, twitter:site, twitter:creator
• Schema.org JSON-LD — all detected types with boolean flags for Article, Product, Organization, Breadcrumb, FAQ, LocalBusiness, Review
• International — hreflang alternates list (lang + URL)
• Branding — favicon, apple-touch-icon, theme-color
• Content structure — H1/H2 counts & texts, image count, images missing alt, internal/external link counts, word count
• SEO audit — automated seo_score 0-100 plus seo_issues array flagging every problem detected
• No browser — pure HTTP + HTML parsing, fast and cheap

Use with AI Agents (MCP)

Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.

Apify MCP server URL:

https://mcp.apify.com?tools=santamaria-automations/seo-metadata-extractor

Example prompt once connected:

"Use seo-metadata-extractor to process data with seo metadata extractor. Return results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) will receive the full input schema automatically via add-actor.

Example output

{
"url":"https://www.apple.com",
"final_url":"https://www.apple.com/",
"status_code":200,
"title":"Apple",
"title_length":5,
"meta_description":"Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV...",
"meta_description_length":158,
"canonical_url":"https://www.apple.com/",
"lang":"en-US",
"viewport":"width=device-width, initial-scale=1, viewport-fit=cover",
"og_title":"Apple",
"og_description":"Discover the innovative world of Apple...",
"og_image":"https://www.apple.com/ac/structured-data/images/open_graph_logo.png",
"og_site_name":"Apple",
"twitter_card":"summary_large_image",
"twitter_site":"@Apple",
"schemas":[
{"type":"Organization","name":"Apple"}
],
"has_organization_schema":true,
"favicon_url":"https://www.apple.com/favicon.ico",
"apple_touch_icon":"https://www.apple.com/apple-touch-icon.png",
"h1_count":1,
"h1_texts":["Apple"],
"hreflang_alternates":[
{"lang":"en-US","url":"https://www.apple.com/"},
{"lang":"de-DE","url":"https://www.apple.com/de/"}
],
"seo_score":75,
"seo_issues":["title_too_short","no_twitter_card"]
}

How to use

Drop a list of URLs into urls and run. Each URL returns a single dataset record with the full SEO fingerprint. Sort by seo_score to prioritize audit fixes, filter by seo_issues to find sites missing Open Graph images, or group by has_article_schema to find content-rich competitors.

Input

Use cases

• SEO audits — bulk-check client sites, flag every missing meta description, Open Graph image, and broken heading structure in one run
• Competitive intelligence — analyze your competitors' metadata strategy, Schema.org usage and social-preview design
• Social media planning — preview how a URL will appear on Twitter, Facebook and LinkedIn before publishing
• Content migration — snapshot every metadata field before a site move so nothing gets lost
• Schema.org validation — bulk-check structured data across a whole site or portfolio
• Brand monitoring — track metadata changes over time and alert when title/description/OG image change
• Agency reporting — automated monthly SEO reports with a per-page score and issue list

SEO Score

Every result includes a seo_score from 0-100 calculated from 12 standard SEO signals:

Plus a seo_issues array that flags exactly what's wrong: missing_title, title_too_long, missing_meta_description, no_h1, multiple_h1, no_canonical, images_without_alt, no_og_image, no_schema, no_viewport, no_lang, and more.

Pricing

Pay per URL — no subscription.

• $0.001 per run start
• $0.003 per URL analyzed

1000 URLs = ~$3. Cheaper than any SaaS SEO tool on the market for bulk audits.

Related Actors

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• Sitemap URL Discovery — pair with this actor to audit an entire site's SEO in one run
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