SEO is the acronym Search Engine Optimization, which means search engine optimization and are all the techniques or actions that we apply to increase website visits thanks to rising within the positioning in searches in the different search engines.
A Python library is a collection of functions and code that allow us to perform tasks without having to write the code from scratch. Let's say that they are tools that help us avoid having to repeat certain tasks within one or several projects.
There are a number of Python libraries useful for SEO, which allow us to develop machine learning algorithms, decision trees, cross-references between data, etc.
Here we leave you some of the ones that most we use for SEO:
pandas
It is usually used to work with table data. Allows manipulation of data where the structure is a DataFrame.
DataFrames are very similar to Excel spreadsheets, although they are much faster than them.
Request
It is used to make HTTP requests in Python. Requests use the GET and POST request methods and the results are stored in Python.
We can also use requests over headers, which show us information about the type of content or how long it took to cache the response.
Another possibility is that there is capability and simulate a user agent, like Googlebot, to get the response that the Bot will see when crawling the page.
Beautiful Soup
This library was named after the Alice in Wonderland poem by Lewis Carroll.
“Beautiful Soup” is used to extract data from HTML and XML files. With it we make sense of web files since it can transform an HTML document into different Python objects.
Matplotlib and Seaborn
They are two Python libraries used to create visualizations.
Matplotlib allows us to create data visualizations such as bar charts, line charts, and even heat maps.
Seaborn, based on Matplotlib, provides more data visualization patterns, such as scatter plots, box plots, or violin plots, in addition to lines and bars.
Advertools
With it we can manage, understand and make decisions based on the data we have as SEO professionals and digital marketing specialists.
Scrappy
This library is the fastest, crawls websites and extracts structured data of a given page and stores them in an output file.
We can define a series of instructions, such as the name of the domain we want to crawl, the home URL and folders that it can or cannot crawl.
There are more and more tools that we have at our disposal to make our lives easier and be more efficient in our work.
Have you been interested? Are you going to try any of these libraries or, on the contrary, were you already using them? Learn more useful tools and programs in our Master in Advanced Programming in Python for Hacking, BigData and Machine Learning.
