Traditional vs AI-powered scraping
Traditional web scraping uses CSS selectors or XPath to extract data from HTML. It works until the website changes its layout — then your scraper breaks. Maintaining scrapers against constantly changing websites is a never-ending job.
AI-powered scraping uses language models or vision models to understand the page content semantically. Instead of "find the element with class price-value", you instruct the model "extract the product price from this page." Layout changes don't break the extraction because the model understands what it's looking for, not where it's positioned.
Business applications
Competitor monitoring: Track competitor pricing, product launches, or job postings without maintaining fragile scrapers per site.
Document processing: Extract data from PDFs, scanned invoices, or email attachments where the format varies between senders. The AI handles the variation that would require dozens of templates in a traditional system.
Lead research: Gather company information from websites, directories, and social profiles to enrich your CRM data automatically.
Ethical and legal considerations
Always respect robots.txt directives, terms of service, and data protection regulations (GDPR in the UK). AI scraping is a tool, not a licence to collect data indiscriminately. Focus on publicly available information you have a legitimate reason to process.