Building a Dark Pattern Detector: Scraping UI/UX Anti-Patterns at Scale

Dark patterns manipulate users into actions they didn't intend — from hidden subscription traps to guilt-tripping opt-outs. What if you could automatically detect them? In this guide, we'll build a Python tool that scrapes websites and flags common UI/UX anti-patterns. What Are Dark Patterns? Dark patterns are deceptive design choices: confirmshaming ("No thanks, I don't want to save money"), hidden costs revealed at checkout, roach motels (easy to enter, impossible to leave), and forced continuity. The EU's Digital Services Act and California's CPPA now regulate these practices. Architecture Overview Our detector will: Crawl target pages and extract DOM structure Analyze text for manipulation patterns (confirmshaming, urgency) Detect visual tricks (hidden checkboxes, tiny unsubscribe links) Generate a dark pattern audit report Setting Up the Scraper import requests from bs4 import BeautifulSoup import re API_KEY = " YOUR_SCRAPERAPI_KEY " def scrape_page ( url ): payload = { " api_key