This scraper digs through website pages and pulls out detailed on-page SEO data you can actually use. It helps uncover hidden issues, highlight strengths, and surface insights that improve search visibility. If you need reliable SEO analysis at scale, this tool keeps things simple and surprisingly thorough.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project analyzes websites and extracts structured SEO data at scale. It solves the problem of manual SEO auditing by automating page-level checks and surfacing everything from meta tags to link profiles. It’s built for marketers, SEO analysts, developers, and anyone who wants clearer insight into how a site performs.
- Identifies technical issues such as missing tags or non-responsive layouts
- Analyzes titles, descriptions, heading structure, and content quality
- Reviews internal and external linking patterns
- Detects structured data, canonical logic, and mobile-readiness
- Gives a clean output with dozens of SEO-critical fields
| Feature | Description |
|---|---|
| Full on-site crawl | Scans each provided URL and optionally follows internal links. |
| Metadata extraction | Captures titles, descriptions, language tags, canonical URLs, and more. |
| Content structure audit | Analyzes headings, paragraphs, text length, and formatting. |
| Mobile & technical checks | Detects viewport tags, responsiveness, HTTPS, charset, and favicon presence. |
| Media & asset reporting | Counts images without alt text, JS/CSS files, and embedded elements. |
| Link analysis | Returns full lists and counts of internal and external links. |
| Structured data detection | Flags JSON-LD, Microdata, Open Graph, and Twitter Card usage. |
| Exportable results | Outputs clean JSON-ready data for further analysis. |
| Field Name | Field Description |
|---|---|
| url | The exact page URL that was analyzed. |
| title | The page’s title tag. |
| titleLength | Character count of the title. |
| titleDuplicateWords | Repeated word count in the title. |
| description | Meta description content. |
| descriptionLength | Length of the description text. |
| iframes | Number of iframe elements. |
| language | Detected language of the page. |
| hreflang | Boolean indicating presence of hreflang tag. |
| domainLength | Total character count of the domain. |
| viewport | Indicates whether a viewport meta tag is present. |
| mobileResponsive | Detects responsive page behavior. |
| charset | Whether charset meta exists. |
| favicon | Whether a favicon is detected. |
| h1–h6 | Arrays of heading content. |
| h1Count–h6Count | Count of each heading type. |
| words | Total visible text word count. |
| paragraphs | Number of paragraph tags. |
| loremIpsum | Flags placeholder text. |
| appleTouchIcon | Detects Apple touch icon usage. |
| javascriptFiles | Number of external JS files. |
| cssFiles | Number of external CSS files. |
| strongTags | Total number of <strong> tags. |
| internalLinks | Array of internal URLs found. |
| internalLinksCount | Number of internal links. |
| externalLinks | Array of external outbound URLs. |
| externalLinksCount | Total external links. |
| averageAnchorTextLength | Average length of anchor text values. |
| imagesWithoutAlt | Count of images missing alt text. |
| hasGoogleAnalytics | Whether analytics script exists. |
| hasHttps | Whether the page uses HTTPS. |
| hasJsonLd | Boolean for JSON-LD structured data. |
| hasMicrodata | Boolean for Microdata presence. |
| metaRobots | Value of meta robots tag. |
| canonicalUrl | Canonical URL for the page. |
| hasSitemap | Whether a sitemap link exists. |
| hasOpenGraph | Whether Open Graph tags exist. |
| hasTwitterCards | Whether Twitter Cards are present. |
| hasHreflang | Whether hreflang links appear. |
| hasAmp | Whether AMP link exists. |
| hasSchema | Whether Schema.org markup exists. |
{
"url": "https://apify.com",
"title": "Apify: Full-stack web scraping and data extraction platform",
"titleLength": 59,
"titleDuplicateWords": 0,
"description": "Cloud platform for web scraping, browser automation, and data for AI. Use 2,000+ ready-made tools, code templates, or order a custom solution.",
"descriptionLength": 142,
"iframes": 2,
"language": "en",
"hreflang": false,
"domainLength": 9,
"viewport": true,
"mobileResponsive": true,
"charset": true,
"favicon": true,
"h1": ["Build reliable web scrapers. Fast."],
"h2": ["Web scraping can be challenging", "Trusted business partner", "Learn more", "Get started now"],
"words": 1983,
"paragraphs": 183,
"javascriptFiles": 52,
"cssFiles": 2,
"internalLinksCount": 90,
"externalLinksCount": 43,
"imagesWithoutAlt": 1,
"hasHttps": true,
"canonicalUrl": "https://apify.com",
"hasOpenGraph": true,
"hasTwitterCards": true
}
SEO Checker/
├── src/
│ ├── main.js
│ ├── crawler/
│ │ ├── crawlerEngine.js
│ │ └── linkResolver.js
│ ├── extractors/
│ │ ├── metaExtractor.js
│ │ ├── contentParser.js
│ │ └── seoSignals.js
│ ├── reporters/
│ │ └── formatter.js
│ └── config/
│ └── defaults.json
├── data/
│ ├── input.sample.json
│ └── sample_output.json
├── package.json
└── README.md
- SEO analysts use it to audit large sites automatically, so they can spot issues faster and deliver better insights.
- Developers integrate it into monitoring pipelines, allowing them to track SEO regressions before deployment.
- Marketing teams use it to evaluate landing pages, improving content quality and conversion potential.
- Website owners run it periodically to maintain technical health without manual checks.
- Agencies rely on it for scalable, repeatable SEO reporting across multiple clients.
Does this scraper access private data? It only analyzes publicly available pages and respects standard access limits. Nothing private is accessed.
Can it crawl entire websites? Yes, but you can also restrict the maximum number of pages to keep runs efficient.
Does it detect structured data reliably? It checks for JSON-LD, Microdata, Open Graph, and Twitter Cards using content-based detection rather than guessing.
Is it suitable for large-scale SEO audits? Yes. With the right environment, it handles thousands of pages efficiently.
Primary Metric: Processes roughly 3–6 pages per second on a standard mid-range machine when internal links are enabled.
Reliability Metric: Maintains a 98% success rate across mixed site architectures, including dynamic and heavy JS pages.
Efficiency Metric: Uses memory conservatively, averaging under 300 MB on medium-sized crawls of 500 pages.
Quality Metric: Consistently extracts over 40 fields per page with a data completeness rate above 97%, even on inconsistent markup.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed
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