Python can be used to analyse content and gather competitive intelligence for SEO purposes via web scraping and text analysis
There are various libraries available – such as ‘requests’ for HTTP requests, ‘BeautifulSoup’ for HTML parsing, ‘pandas’ for data analysis, and ‘nltk’ for natural language processing – that can be used to build bespoke pipelines to extract and analyse content from top-ranking URLs
Step one is to retrieve the HTML content of a page, which can be done with the following Python code: import requests; url = ‘https://example.com’; response = requests.get(url); html = response.