KWT Spider

KWT Spider is a desktop application for technical website analysis, oriented towards optimization for classic search engines and artificial intelligence platforms. It performs comprehensive crawl audits, extracting key data such as status codes, metadata, headers, links, and data structures. The program includes analysis functions for generative search that measure content readability, authority, and originality. By running locally, it guarantees data privacy without needing to upload to external servers. KWT Spider generates detailed reports, site maps, and exports for professional workflows in agencies and personal projects.

★★★★★

5.0(2 ratings)

• Complete website crawling. The tool scans entire domains or specific sections, extracting all accessible URLs. During the process, it identifies HTTP response codes (200, 404, 500, etc.), redirect chains, and breakpoints in the site's architecture.
• SEO metadata extraction. It collects page titles, meta descriptions, H1-H6 headings, and image ALT attributes. It presents the data in filterable tables to quickly locate duplicate, missing, or incorrectly lengthed tags.
• Internal and external link analysis. It calculates the number of inbound and outbound links per page, showing the distribution of internal authority. It identifies broken links and frequently linked external domains.
• Performance and Core Web Vitals evaluation. It measures load times, document size, and blocking resources. It provides baseline metrics on page weight and its impact on user experience.
• Canonical and duplicate content detection. It verifies the implementation of canonical tags and flags pages with similar or identical content within the same domain. It helps consolidate ranking signals to the correct URLs.
• Data structure and Schema.org audit. It inspects the presence of structured markup like JSON-LD, Microdata, or RDFa. It validates the syntax of rich snippets and checks their correct implementation for search engines.
• Generative search compatibility analysis. Includes metrics like the AI Citation Score and impact preview. It evaluates if the content is referenceable by artificial intelligence systems, based on clarity, depth, and originality.
• XML and HTML sitemap generation. Automatically creates sitemap.xml files based on the crawled structure. It allows excluding parameters and customizing the suggested update frequency for each URL.
• Data export to CSV, Excel, and SQL. Reports can be exported in standard formats for external processing. It facilitates integration with analysis tools, dashboards, and client databases.
• Advanced filters and pattern segmentation. Allows creating custom filters by regular expression, content type, or response code. Useful for isolating problematic sections, such as directories with 404 errors or slow pages.
• Crawl comparison and change detection. Compares two audits performed at different times to identify new pages, modified redirects, or altered metadata. Ideal for continuous quality control on large sites.
• Logo and image analysis. Reviews the existence and format of critical images, such as the site logo, and its correct declaration in social media metadata (Open Graph, Twitter Cards).

KWT Spider began its development in 2018 by a team of engineers specialized in technical SEO and web information retrieval. The creators, with prior experience in search engines and large-scale data analysis, sought a desktop solution that combined speed, precision, and privacy. The first public version was released in 2020, written entirely in C++ to guarantee optimal performance in multi-threaded crawling and HTML document processing. The language also allowed integrating native libraries for lexical analysis and content extraction without heavy external dependencies.

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