It counts the words on the pages, identifies errors, such as the lack of meta descriptions, titles and alt tags. Here is an image that demonstrates some of the logic of the project's “main” class: seo analysis here, too, the imports of the main class: seo analysis in turn, we have the methods and loops of the class responsible for analyzing the website: seo analysis seo analysis to install, follow the command: seo analysis to use, the user must type: analysis of seothe video below demonstrates the code for analyzing a url in search of the keyword, which is a good practice for on page seo.
It checks whether the titles and hs contain the keyword, as afghanistan whatsapp data well as analyzing the length of the url.- part search for errors this script searches for pages that have errors, that is, broken links. It is very useful for optimizing the user experience and preventing them from going down dead ends.
The algorithm uses the beautifulsoup library. This part of the code is to collect the links in the website's html: search for errors search for errors this part is to send a request to these links and check the response code. In other words, it will identify when there is an error and search for errors. As we have seen, there is great potential for using python for seo.
Learn python by example: seo program in python
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