In this article, let us discover the usage of the two most used Google Search Python libraries.
There is always a slight trepidation about putting a new website live, and for good reason, it’s usually untested by anyone.
According to some latest analytics from google, they produce 3.5 billion+ searches per day. They produce over 50,000 queries per second. If you go to google and search for health then 10 billion+ similar search results will appear on google. There is so much amount of data on Google, searching for the best data which we need sometimes can be very hard and painful. But there are some tricks using which we can make google searches more powerful and content friendly. Master Google Search in Few Minutes
In these articles, I’ll try to highlight some of the ways by which you can find data on the internet for free and then use it to create something meaningful out of it.
Ever since Google Web Search API deprecation in 2011, I’ve been searching for an alternative. I need a way to get links from Google search into my Python script. So I made my own, and here is a quick guide on scraping Google searches with requests and Beautiful Soup.
This article will touch on how data science can be used in SEO and look at how useful correlative analysis should be used during the content creation process.