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As a part of digital marketing strategy, SEO plays an important role in driving traffic to a company website. Any marketing campaign, including an SEO campaign, involves the following activities:
- SEO audit of a website
- content strategy development
- keyword research
- keyword density analysis
- checking broken links
- link building
- internal linking
- posting to social media
- sending emails
- creating metadata
- publishing ads with keywords
- website statistics analysis
- website ranking check
- monitoring and measuring activities on a website
- creating optimized landing pages
Some of these activities, such as keyword and link analysis, involve lots of repeated actions, and it may take you lots of time to do them manually. However, you can save this time and improve your site’s SEO with specialized marketing automation tools. From this source, you can learn that today’s software engineers choose Python for automation because of its flexibility and simplicity. So now we are going to discuss Python for marketing and find out how it can help you to automate your SEO activities.
SEO as a Marketing Strategy
SEO is an integral part of any marketing campaign and is as important as all other types of marketing. Unfortunately, some companies treat search engine optimization as a one-time action. But actually, it is an ongoing, dynamic process that needs to be adjusted to what’s happening on the market. Google constantly updates its search algorithms, so the SEO campaigns should be adapted to those changes. Besides, Google is always up-to-date with the newest technologies – for example, now it checks if your page is mobile-friendly. What’s more – with the appearance of Alexa and Google Home the websites are now gradually being optimized for voice search. Therefore, it is important to be proactive and follow the newest SEO trends within your marketing strategy as well as to know how to automate marketing.
Python for Marketing and SEO Automation
Python is the best programming language not only for automation but also for beginners who only start to learn programming. Therefore, if you have at least basic coding skills in addition to marketing skills, then Python is the right choice when it comes to marketing automation. We have collected several use cases from SEO experts on how to automate marketing and SEO activities with Python.
Paul Shapiro: Search Indexing, Keyword Growth Calculation
Paul Shapiro offers the following Python-based automation solutions:
- Check which pages of your website have not yet been indexed by Google. Google Search Console shows the number of indexed web pages. However, it does not show the number of non-indexed ones. In 2016, Paul Shapiro wrote a Python script that can help you to detect such non-indexed pages.
- Research keyword growth with Google Trends. There is no Google API for bulk keyword growth research in Google Trends, and it is quite exhausting and time-consuming to research all of them one by one. Luckily, a Python script by Paul Shapiro can assist you with the automation of this process.
Derek Hawkins: Speed Testing, Web Scraping
In his LinkedIn post, Derek Hawkins shares his experience on how to automate the following tasks with Python for marketing:
- Test the website speed. A high-speed website is a must for good SEO ranking today, so if your site is overloaded with elements that affect its speed, you need to fix this issue asap. It may take you some time to detect those elements manually, but a Python script can help you to automate this process.
- Parse the SEO-related website content. Python web scraper by Derek Hawkins can notify you about the changed metadata values and/or record the new values in an Excel spreadsheet or Word document.
Additionally, you can find the following Python-based SEO tools on GitHub:
- Broken links checker. If your website is not on WordPress, you can use this script to crawl the website and detect any broken links.
- Python SEO analyzer. This script checks the website content for all SEO-related issues.
- SERP scraper. The script extracts and analyzes the data from search engine results pages (SERPs), such as title, URL, type, etc. based on specific keywords.
- Data analytics tool. This tool fetches the URL and keywords from an Excel file and outputs the analytics to another Excel file in the form of a diagram.
- This utility analyzes the crawl rate of a website by search engine bots.
Conclusion
Search engine optimization is an integral part of marketing campaigns and should not be overlooked. SEO campaigns include a range of various activities, some of which involve repeated actions. You can easily automate those actions with simple Python scripts and programs. In the Internet, SEO specialists share their experience on how to automate marketing and SEO tasks with Python. Dubbing is as immerse the total viewer’s attraction and can
manage to focus on the points hiding from the conversation and helpful to polyphonic. Dubbing also allows getting original voices and actors to timber and intonations. These tasks include Google indexing check, keyword growth research, speed testing, web scraping, broken links check, data analytics, gathering statistics, and many others.
