🏷️ Meta Tag Analyzer

Part of the Website Health Suite — Comprehensive website trust, compliance, and technical SEO monitoring.

Crawl websites and extract structured JSON-LD data, meta tags, and crucial page elements using a high-performance web scraper. This automation tool is engineered for developers, data engineers, and technical SEOs who need a reliable API to scrape deep website details at scale. Instead of manually inspecting elements in your browser, you can run this scraper to programmatically extract schema.org data, viewport settings, charset configurations, and custom meta tags from hundreds of URLs in seconds.

Essential for recurring SEO metadata audits — Schedule weekly runs to catch missing canonical tags, truncated titles, or broken Open Graph images before they hurt social sharing and search rankings. Whether you need to scrape product details via Schema markup, extract organization data to feed into other applications, or monitor competitor websites, this tool delivers perfectly formatted results. By evaluating how search engines and social platforms read your site, you can prevent broken previews and missing rich snippets.

The output provides a clean, machine-readable JSON structure containing arrays for json_ld_schema, open_graph_tags, robots_directives, and general meta_tags. You can quickly integrate the extraction process into your technical audits, tracking how Google and other search engine bots interpret your core web properties. Extracting this data using a robust setup allows you to export the scraped details directly to your data warehouse or BI tools, unlocking deep competitive intelligence and automated website governance.

Store Quickstart

Start with the Quickstart template (3 demo URLs). For full SEO audits, use SEO Audit template with 50+ URLs. For ongoing social sharing validation, use Open Graph Monitor.

Key Features

• 🏷️ All meta tags extracted — Title, description, keywords, canonical, robots, viewport, charset
• 📱 Open Graph parsed — og:title, og:image, og:description, og:type, og:url and more
• 🐦 Twitter Card detected — twitter:card, twitter:image, twitter:creator, twitter:site
• 🌍 Hreflang inspected — Multi-language alternate links for international SEO
• 🧩 JSON-LD structured data — Schema.org types detected (Article, Product, Organization, etc.)
• ⚠️ Issues flagged — Missing canonical, truncated titles, missing OG image, hreflang errors

Use Cases

Who	Why
SEO specialists	Audit title/meta tags for length, missing canonical, duplicate content
Social media managers	Verify Open Graph images render correctly on Facebook/LinkedIn
International teams	Validate hreflang tags on multilingual sites
Content marketers	Ensure Twitter Cards display properly when content is shared
Schema.org auditors	Detect missing or malformed structured data on product pages

Input

Field	Type	Default	Description
urls	string[]	(required)	URLs to analyze (max 500)
concurrency	integer	10	Parallel requests (1-10)

Input Example

{
  "urls": ["https://example.com/product/1", "https://example.com/blog/post-1"],
  "concurrency": 10
}

Output

Field	Type	Description
url	string	Page URL analyzed
title	string	Contents of
description	string	Meta description content
canonical	string	Canonical URL if specified
ogTitle	string	Open Graph title
ogDescription	string	Open Graph description
ogImage	string	Open Graph image URL
twitterCard	string	Twitter card type
twitterTitle	string	Twitter card title
robots	string	Robots meta directive
lang	string	HTML lang attribute

Output Example

{
  "url": "https://example.com/product/1",
  "title": "Premium Widget — Example Store",
  "description": "Buy the best widget...",
  "canonical": "https://example.com/product/1",
  "og": {"title": "Premium Widget", "image": "https://example.com/widget.jpg", "type": "product"},
  "twitter": {"card": "summary_large_image"},
  "hreflang": [{"lang": "en-us", "href": "..."}],
  "jsonLd": [{"@type": "Product", "name": "Premium Widget"}],
  "issues": []
}

API Usage

Run this actor programmatically using the Apify API. Replace YOUR_API_TOKEN with your token from Apify Console → Settings → Integrations.

cURL

curl -X POST "https://api.apify.com/v2/acts/taroyamada~meta-tag-analyzer/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "urls": ["https://example.com/product/1", "https://example.com/blog/post-1"], "concurrency": 10 }'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("taroyamada/meta-tag-analyzer").call(run_input={
  "urls": ["https://example.com/product/1", "https://example.com/blog/post-1"],
  "concurrency": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('taroyamada/meta-tag-analyzer').call({
  "urls": ["https://example.com/product/1", "https://example.com/blog/post-1"],
  "concurrency": 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Tips & Limitations

• Use this to audit social sharing previews before launching a campaign.
• Check canonical to detect duplicate content issues across your site.
• Run monthly to catch accidental robots noindex tags after deploys.
• Pair with Article Content Extractor for full content + metadata analysis.

FAQ

Which meta tags are most important for SEO?

title, description, canonical, and robots are critical. og:image matters for social shares. hreflang matters if you have multilingual content.

Can it follow redirects?

Yes. Meta tags are extracted from the final URL after redirects.

Does it render JavaScript?

No. Tags are extracted from initial HTML only. If your site renders tags client-side, this actor won't see them.

What issues are flagged?

Truncated titles (>60 chars), missing description, missing canonical, missing og:image, duplicate meta description.

Does it render JavaScript?

No — it parses raw HTML. Tags injected by client-side JS won't be captured.

Can I extract structured data (JSON-LD)?

Basic Open Graph and Twitter Card metadata only. JSON-LD parsing is on the roadmap.

Complete Your Website Health Audit

Website Health Suite — Build a comprehensive compliance and trust monitoring workflow:

1. Link & URL Health

• 🔗 Broken Link Checker — Find broken links across your entire site structure
• 🔗 Bulk URL Health Checker — Validate HTTP status, redirects, SSL, and response times

2. SEO & Metadata Quality (you are here)

• 🏷️ Meta Tag Analyzer — Audit title tags, Open Graph, Twitter Cards, and hreflang
• Schema.org Validator — Validate JSON-LD and Microdata with quality scoring

3. Security & Email Deliverability

• DNS/DMARC Security Checker — Audit SPF, DKIM, DMARC, and MX records

4. Historical Data & Recovery

• 📚 Wayback Machine Checker — Find archived snapshots for content recovery

Recommended workflow: Weekly meta tag audit → Fix truncated titles and missing OG images → Validate structured data with Schema Validator → Monitor canonical tags → Track social sharing performance.

Other Website Tools:

• Sitemap Analyzer — SEO sitemap audit
• Site Governance Monitor — Robots.txt and schema monitoring
• Domain Trust Monitor — SSL expiry and security headers

Cost

Pay Per Event:

• actor-start: $0.01 (flat fee per run)
• dataset-item: $0.003 per output item

Example: 1,000 items = $0.01 + (1,000 × $0.003) = $3.01

No subscription required — you only pay for what you use.

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