WaterCrawl provides SEO engineers with 19 key indicators, including internal link topology, page weight distribution, dead link detection, etc. through deep crawling and link analysis technology. Its unique include_links parameter can completely crawl the site's hyperlink relationship, combined with Google Search Console API can intelligently identify traffic anomalies page.
The technical implementation level adopts graph algorithm to establish page association model and visualize the distribution of PageRank value of important pages. In the optimization case of a tourism website, engineers use the tool to find that the listing details page of 30% has the problem of insufficient internal links, and after adjustment, the natural search traffic is increased by 217%. sitemap.xml generated by the system meets the latest standards of Google, and it supports automatic submission to search engines.
Advanced features include testing SEO compliance of titles/descriptions, analyzing content keyword density profiles, and comparing competitors' page load speeds. In conjunction with scheduled timed crawling tasks, a historical trend dashboard of SEO health can be created to enable quantitative assessment of optimization effectiveness.
This answer comes from the articleWaterCrawl: transforming web content into data usable for large modelsThe
