Python is a popular programming language that is ideal for both data science and machine learning applications. In addition to that, Python is a fast and versatile language that can be easily learned. It can also be used for automating SEO analysis, checking for broken links and more.
There are many Python tools that can be used to automate various tasks for SEO, from crawling sites for URLs and broken links to extracting metadata and analyzing user behavior. There are also some Python scripts that can be used to compress images on a website, resulting in faster page load times and a boost in search engine rankings.
Identifying missing meta tags and alt text is important for improving on-page SEO. These can be automated using Python scripts that use deep learning to automatically write image captions and alt text when given the URL of an image.
Internal link analysis can also be done in Python, by generating a pivot table summarizing the pages that have the most internal links. This helps Google understand that there is valuable content not just on a few popular pages, but all throughout the site.
Another common problem with a site’s technical SEO is broken links. Using a broken link scanner in Python can help you identify if a broken link is on your own site or if it is pointing to another domain, which is a crucial step for protecting your ranking.
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