seo-internal-linkslisted

Analyze internal link structure by crawling a domain. Identifies orphan pages, underlinked pages (fewer than 3 inbound links), and broken internal links. Suggests anchor text for top 5 underlinked pages. Reuses existing fetch/parse scripts. Optional Ahrefs enrichment. Use when user says "internal links", "link structure", "orphan pages", "internal linking", "link graph", "anchor text audit".
YogeshKu7877/claude-seo-skills · ★ 3 · Data & Documents · score 79

Install: claude install-skill YogeshKu7877/claude-seo-skills

# Internal Link Audit Crawls a domain to build an internal link graph. Identifies orphan pages, underlinked pages, and broken internal links. Suggests anchor text improvements. ## Inputs - `domain`: Target domain URL (e.g., `https://example.com`). Include protocol. - `max_pages` (optional): Max pages to crawl. Default: 100. Maximum: 200. ## Execution **Step 1: Crawl Site** Use `scripts/fetch_page.py` and `scripts/parse_html.py` to crawl the site: ```bash # Fetch homepage python3 scripts/fetch_page.py <domain> # Parse HTML to extract links python3 scripts/parse_html.py <html_content> ``` Follow internal links only (same domain hostname). Normalize URLs: - Remove trailing slashes (treat `/about` and `/about/` as same) - Remove URL fragments (`#section`) - Preserve query strings only if they appear to be content (not tracking: strip `utm_*`, `ref=`, `source=`) Respect robots.txt: fetch `<domain>/robots.txt` first, skip disallowed paths. Cap crawl at `max_pages`. Track crawl queue (BFS order from homepage). **Step 2: Build Link Graph** For each crawled page, record: - Source URL - Target URL (all internal links found) - Anchor text for each link Build adjacency structure: - `outbound[url]` = list of (target, anchor_text) - `inbound[url]` = list of (source, anchor_text) **Step 3: Calculate Per-Page Metrics** For each crawled page: - Inbound internal links count (links from other crawled pages pointing here) - Outbound internal links count (links from this page to oth