Domain authority: Domain authority is certainly a relevant factor. However, it is important not to corrupt the exercise by thinking that a high domain authority is the only important metric, since the level of expertise of a brand’s content is often more decisive.
Referring domains and backlinks: Understanding the number of referring domains and their backlinks will then allow for a second level of analysis:
Domain TLDs
Platforms where those backlinks could be acquir.
Cost of acquiring links on those platforms.
-> Brand vs. Non-Brand Traffic: It is important to fusion database understand the % of traffic type. Many websites, and certain segments, tend to attract much more brand traffic, due to being recogniz brands. Despite this, which can be relevant, non-brand traffic can be a great source of organic visits interest in specific services but without a brand in mind. semrush-competition-analysis
How to extract the top 10 results in Google with Python
One of the most common activities when doing a digital competition analysis is to understand which companies are position for the respective keywords. And not only companies that are position for a keyword, but it is common to find them for various terms relat to the business.
To do this, it is also necessary to understand that these results 1win increases betting limits for popular sporting events must be classifi into two large groups : transactional competitors and informational competitors. These give us a clearer path to where we should go, always bas on the business objectives.
Sometimes certain websites are competitors because they are position and relevant in the type of product they sell and others, on the other hand, are a reference in terms of the robustness of their blog, informative content, guides and other types of content that are of value to the user during their stage of the purchasing journey.
Now imagine you want to extract the top 10 results for 5 terms like “ best SEO tools” .
extract-urls-serps-google
You would have to search for each term separately.
In each search you would have to extract the links fans data manually, or failing that, download them with some extension.
And that activity of downloading the results must be done for each keyword, and then the results must be combin into an Excel or Google Sheets file.