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33 actions available to automate your Web Crawler workflows.
Extract all links from a page and categorize them (internal and external).
Comprehensive SEO audit covering technical and content issues.
Measure load times and highlight slow resources.
Analyze on-page content quality and keyword density.
Map internal links and surface opportunities.
Validate Open Graph and Twitter Card metadata.
Inspect certificate chain, expiry, and HTTPS enforcement.
Parse llms.txt instructions for AI crawlers.
Validate Schema.org markup and structured data coverage.
Check permissions for AI training bots and crawlers.
Ensure viewport meta tags and responsive meta configs are in place.
Verify AMP implementation quality and discoverability.
Parse robots.txt directives and highlight blocking issues.
Audit responsive layout rules and breakpoints.
Inspect meta title/description tags across the page.
Review heading hierarchy (H1-H6) for structure gaps.
Check alt text, formats, and compression levels.
Detect broken or low-quality links on page.
Review robots/meta directives affecting indexation.
Validate canonical URLs and conflicting hints.
Trace HTTP status/redirect chains for a URL.
Review international hreflang annotations.
Check CSP/HSTS and other security headers.
Score readability, word count, and duplication risk.
Evaluate keyword usage and cleanliness of URLs.
Verify html[lang] attributes and language targeting.
Measure page weight and render-blocking assets.
Detect obsolete tags or attributes still in use.
Confirm favicon/icon discovery across devices.
Validate declared charset and encoding consistency.
Crawl the target domain and produce an XML sitemap.
Generate robots.txt content with optional AI bot restrictions.
Extract brand design details from a website (colors, fonts, buttons, logos).
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Add the MCP server URL to your favourite AI app and authenticate to our platform.
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