Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. Scraping Instagram requires more than a simple HTTP request. The platform is a complex Single Page Application (SPA). Content loads dynamically via GraphQL. If you send a standard curl or requests.get() to a public profile, you receive a barebones HTML shell heavily obfuscated by JavaScript. To get structured data, you must render the JavaScript or intercept the underlying API calls. This guide shows you how to scrape Instagram public profiles and posts reliably using Python. Why collect social data from Instagram? Engineers and data scientists extract public Instagram data for three primary reasons: Market Research : Brands track competitor follower growth and public engagement metrics over time. Sentiment Analysis : Public comments on brand posts provide raw data for NLP pipelines to gauge customer reaction to product launches.…