The internet is filled with information and to stand out as an online business, you have to implement certain elements. One of the most effective ways to boost your business online is through search engine optimization (SEO). However, this can be quite time consuming. What you need is a tool to automate tasks that would otherwise take months to complete. One way to do this is with the programming language Python.
Python is an open-source, interactive programming language that can be used to automate boring SEO tasks by leveraging APIs, extracting data and implementing machine learning algorithms. If you want to go this route, it is important to make use of the expertise of Python developers who can implement Python for SEO into your business processes.
How You Can Scrape Data for Content Briefs With Python
The main part of effective SEO is creating valuable content. When you want to create new content, you require information or data from the internet of what people are searching for. With this data, you can create content that attracts visitors by answering their questions. The best way to do this is to extract data from search engine results pages (SERPs). This is where Python can come in very handy. Python is designed to offer a range of automation opportunities for low-level tasks. One of these is extracting data from search engines.
Python can extract data like titles, snippets and URLs for given keywords. This allows you to gain competitive intelligence and see which search results are doing well. In turn, this enables you to formulate your own content. What you require to do this is to install Python and a compatible library such as TensorFlow, NumPy, SciPy and SciKit Lear.
Once the libraries are installed, you have to import all libraries and set up your browser object. Then, you can visit Google to start the data extraction process. In the search engine, you have to find HTMLs and inspect the elements. To do this, you can simply right-click on the website to open up the Google Chrome Developer tools. Now, you have to copy and paste the XPath into Python.
By doing this, Python will extract all of the elements that match the XPath and return a full list of element objects. To gain navigation of the individual HTML elements, you will have to add a few lines of code. Python will then extract the title and link for each search return and combine the results into your library. This data can then be used to create content based on top results.
While this may seem like a simple task, it does require a level of expertise. If you want to implement this method for your business, it is wise to hire one or more Python coders with sufficient experience of the Python scripting language. They can install Python, add the relevant code and extract data with ease.
Other Programming Languages to Help You With SEO
Google regularly changes its SERP structure and overall algorithm. Therefore, it is essential to scrape search results via accurate sources. Let’s explore the different programming languages that can be used to obtain data for SEO purposes.
C and C ++:
With C and C++ you can develop a scraping setup. However, the cost of this development in these languages can be quite high. So, unless you have a business solely focused on web scraping, it is not always recommended to create a crawler using the programming languages C or C++.
This language is known to be very good at scraping websites. It uses comprehensive coding practices that make the process fast and efficient. But even though Node.js allows spread out crawling, the level of solidity of communications is comparatively weak. Therefore, it isn’t typically used for very large projects.
PHP is used for web scraping, but it is seen as the least popular language to use as a crawler solution. It offers poor support for multi-threading. This may create a range of problems with task scheduling.
Ruby is packed with extraordinary simplicity. It carries a syntax that is easy to follow and convenient for writing. Therefore, it is one of the most popular open-source programming languages for web scraping. However, it is also slower in comparison to other programming languages.
Python is a complete product which can handle all processes related to data extraction fast and efficiently. It uses advanced website scraping libraries that are specifically designed for fast data extraction.
Which is the best for SEO strategy?
The language and framework you use will have a significant impact on your crawling efficiency. But which is best to choose for web scraping as part of your SEO strategy?
When weighing up the pros and cons of the different programming languages, it is Python that stands out. Python is a high-level programming language that allows you to scrape data from the internet quickly. It is designed with a powerful type system and automatic memory management to make data gathering easy.
What sets Python apart is that it has several frameworks and libraries that are very easy to understand and learn. It can be used to target both simple and dynamic web pages. What is more, is that you can build your own framework or web scraper with Python that won’t compromise the quality of the scraped data. This makes Python by far the best programming language for website scraping.
Web scraping is a great solution which can assist you to push your business workflows towards a more convenient process. Remember that when you decide to use a programming language for website scraping, you have to keep the terms and conditions of a website in mind. You should also never post the scraped data anywhere on a public platform and never share it with a third party.
If you are unsure of how to use Python for SEO, it is essential to hire a team of Python developers or a senior Python coder to assist with the process. The average Python developers salary is minimal compared to the value they can bring for your business.
Save Valuable Time With Python for SEO
Automation can help your business save time and be more efficient with certain SEO tasks. This allows you to focus on other digital marketing strategies, as well as your customer’s organic performance. With the help of a Python programmer, you can quickly and easily incorporate Python into your business processes to conveniently gain data from search engines for SEO purposes. This will give you a competitive advantage in the field of online content.