How can you leverage server log files beyond error tracking to optimize crawling?

Beyond error tracking, server log files can be leveraged to optimize crawling by providing insights into crawler behavior, crawl frequency, and resource consumption. Analyzing log files reveals which pages Yandexbot crawls most frequently, identifying important content and potential crawl priorities. Conversely, it shows which pages are rarely crawled, indicating opportunities to improve internal linking or resubmit URLs to Yandex Webmaster. Log analysis also helps identify crawl budget waste by pinpointing URLs that are crawled frequently but have low value, such as duplicate content or outdated pages. Identifying these can inform changes to robots.txt or site architecture. By monitoring the server's response times to Yandexbot requests, you can detect performance bottlenecks that may be hindering crawling efficiency. Slow response times can be addressed by optimizing server performance or reducing the size of resources. Furthermore, log files can reveal the user-agent strings used by different Yandex crawlers, allowing you to tailor your website's responses to specific bots. Examining server log data provides a detailed picture of how Yandexbot interacts with the site and helps make data-driven decisions to improve crawl efficiency and ensure important content is crawled and indexed promptly.