Thread π§΅
A compilation of cool and useful ideas to leverage #Python for #SEO purposes. These are just some ideas on how to improve your workflow (automation) or to gather new insights in a smarter way
πππ
A compilation of cool and useful ideas to leverage #Python for #SEO purposes. These are just some ideas on how to improve your workflow (automation) or to gather new insights in a smarter way
πππ
1. Sitemap analysis: check content velocity and how much content your competitors have per section. You can also look for most common words in their URLs to have a high-level overview of what they post about
2. Broken link checker: pretty basic. Highly suggested when you need a lightweight function and don't want to launch Screaming Frog or other tools.
It's the most basic use in this list!
It's the most basic use in this list!
3. Sentence analysis: analyze the syntax of sentences of your competitors to see if there is a certain pattern in how they present content and then check n-grams.
You can also go to the next level and extract entities from a text to see which ones you should focus on.
#NLP
You can also go to the next level and extract entities from a text to see which ones you should focus on.
#NLP
4. Data Analysis in general: connect to GSC/GA API to get data and get an overview.
You can also toy with different datasets by merging them to see what you could get, e.g. comparing pages with most impressions to their crawl depth.
#DataScience #GoogleAnalytics
You can also toy with different datasets by merging them to see what you could get, e.g. comparing pages with most impressions to their crawl depth.
#DataScience #GoogleAnalytics
6. Clustering: spot opportunities for new content by grouping keywords with algorithms according to different criteria.
Also used for Keyword Research or mixed data when you want an outline of which are the main topics.
#DataScience
Also used for Keyword Research or mixed data when you want an outline of which are the main topics.
#DataScience
7. Scraping: it goes without saying that Python is well known for scraping tasks.
You can extract text from other pages and parse it, for example you can build a scraper to get data from different competitors and see if they changed their pricing policies.
#Automated #Python
You can extract text from other pages and parse it, for example you can build a scraper to get data from different competitors and see if they changed their pricing policies.
#Automated #Python
8. Text generation: generate content at scale or even short descriptions for products. Not a big fan of that for the moment but it's definitely an interesting field!
#NLP
#NLP
9. SERP Analysis: check how your competitors are doing and assess rankings. Check again point 3 to maximize your #SEO efforts.
I already talked about the best Python libraries in this other tweet:
Be sure to check them out if you want to try some of these projects, I will post more useful resources later!
https://twitter.com/GiordMarco96/status/1480497015125528576
Be sure to check them out if you want to try some of these projects, I will post more useful resources later!
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