Everyone is talking about artificial intelligence, machine learning, voice search, NLP as the new trends emerging in the marketing technology space.
Python is the programming language that gained huge popularity recently in the technology industry. Now, the SEO community is also loving and accepting the language to automate their work and made life easier.
It’s not necessary to be a data scientist or any tech geek to understand this programming language. The simple syntax and huge library make it the preferred language to learn and apply to your day-to-day technical SEO.Every SEO professional should learn Python to enhance work efficiency and better performance.Click To Tweet
If every business from small to large organizations understood the true value of this language, they would be working on it.
What is the Python Programming Language?
Python is an open-source, object-oriented programming language. It supports a wide range of libraries and modules that make it more understandable.
The speed and scalability of Python are unmatched. Even Google is using the Python programming language to develop their web-crawlers.
Major functions where Python is used broadly:
- Data computation
- Natural language processing
- Data extraction
- SEO automation
- Data interpretation
- Machine learning
- Deep learning
Why Use Python for On-page SEO?
Well, SEO is more than link building, black-hat, white-hat SEO methods, meta tag writing now.
Most of the SEO tools are expensive or come in packages. What if you could implement your own script easily to perform a certain action and tweak it according to your data needs?
Most of the SEO analysts and marketing professionals are afraid of the programming and coding part of SEO. But, they shouldn’t be anymore. Python made it simple and easy to learn and implement.
How Python Empowers SEO professionals
How many of you still performing on-page SEO tasks manually?
A lot of advanced tools have already been introduced in the market. Tools enhance your productivity. Similarly, Python helps SEOs automate the tasks which are time-consuming.
Data is the most important asset for an SEO professional. Data analysis is very critical and a task that consumes much time.Major functions Python enables SEOs to perform are analyzing a large chunk of data and finding insightful information.Click To Tweet
Data-driven decision making leads to a successful campaign. It makes the data more understandable and leverages marketing campaigns with data.
When you recommend some strategies based on data to your clients, it’s more credible and impactful. Use Python’s machine learning to automate the time-consuming tasks.
SEO Tasks Automated Using Python
#1 SEO analysis of the site for critical issues
The Python SEO analyzer API analyzes the structure of a site, crawls the site, counts words in the body of the content and warns of any general SEO related issues.
Some major features are:
- Word count
- Page Title
- Meta Description
- Keywords on-page
- image alt-text
#2 Link checker
Did you know even Screaming Frog crawls into pandas dataframe? It made internal website link analysis, broken link discovery, URL mapping while migrating the site simple and automated.
Crawl404 as the name indicates helps us find the 404 pages on a site.
#3 Image optimization and find missing ALT tags
DeepCrawl API using Pynthia can make this tedious task easy and less time-consuming. It finds the images on the website and checks for missing tags or captions. Use it to find opportunities to enhance website SEO.
#4 Keyword ranking computation & recommendation
PyTrends and MatPlotLib are the libraries you can use to automate keyword ranking positioning. Even Google Trends uses these same libraries to find audiences’ interest in particular search terms over time.
#5 Competitive analyses
It’s very difficult to keep your eyes on competitors all the time for their updates and launches. Python makes your repetitive tasks automated.
For example, use it to fetch the details of your competitor’s services and products to monitor.
You have probably been using an analytics tool to track audience behavior and engagement. Google webmaster tool uses Python scripts to track and fetch the data into various formats.
You can use these open-source libraries to transfer the data straight into document files.
#7 Meta tag optimization
XPATHs can be used to extract meta tags from a client’s website and optimize it easily. You can extract, title, description, alt, canonical, H1, robots tags with great ease using Python APIs.
#8 Data analysis & visualization
#9 Website speed optimization and monitoring
When you have a huge number of webpages on your domain, how would you test each one of them? It’s a very time-consuming process that can be automated by Python libraries like Selenium, Pandas, BeautifulSoup.
“Using Selenium Webdriver to automate browser actions, we built a script that would grab URLs directly from the sitemap, plug them into Google Pagespeed Insights and collect the mobile time-to-load, along with particular notes given by Pagespeed Insights.” By Derek Hawkins.
#10 Content curation & recommendation
Online streaming sites like Netflix and Amazon Prime all use a certain content recommendation engine. Most of these algorithms are developed in Python.
Because it has huge APIs and different libraries, it supports the best content curation and recommendations. Python understands the meaning of the search string and shows the best possible options.
Some Real-world Examples Are:
Google – Google voice search processes with natural language processing technology. Google search algorithm updates are also inspired by the same technology.
Queries are analyzed to find the most relevant search results and improve the results based on the audience’s intent and engagement.
Netflix – Netflix results are generated by a recommendation engine using Python backed machine learning algorithms.
Most of the online streaming apps are using the same technology to enhance the capabilities of their content recommendation engine.
Spotify – Spotify song recommendation engine is powered by machine learning.
Twitter – Timeline content is curated based on audience behavior.
Salesforce Einstein – Einstein AI by Salesforce also uses Python coded AI-based systems.
How to Start Learning Python for SEO?
I hope you are inspired enough to start learning this amazing language. First, start understanding the basic concepts of how Python works to leverage your technical SEO efforts.
Practicing is the key here; you can’t just learn from reading tutorials, blogs, and articles. Connect with Python professionals and gain basic knowledge and start practicing.
If you learn by watching videos, use this YouTube playlist – Python For Marketers: Why, What, Expectations | Learn Python for Marketing
You can use the Google Colaboratory platform as it’s a simple Google doc-based program doesn’t require any installation.
Ready to Use Python to Boost Your Technical SEO?
Python will enable you to spend more time in finding solutions, rather than just stuck with identifying problems. Let Python handle that part for you.Click To Tweet
The big organizations already started working on implementing the tools for SEO using Python. The Python programming community is growing at a great pace and now SEO professionals are also participating.
This is the era of automation! Everything should be time-saving, creative and fast. So, improve your efficiency with Python, and enhance your technical SEO.