Enterprise-scale scraping demands control, reliability, and engineering discipline that no-code AI tools can’t match. AI coding offers hope, but often fails to deliver effective spiders. This talk shows how to bridge the gap and meet the needs of professional web data teams.

Discover why web scraping is uniquely hard for AI agents. This talk explains the key challenges that cause them to fail and offers practical strategies and tools to make agents more resilient in real-world scraping.

Learn how SerpApi scales scraping Google using geolocated proxies, headless browsers, and adaptive parsing pipelines to reliably extract search results across languages, devices, and experiments while converting unstable HTML into clean, usable data.

See how LLMs impress with web scraping demos yet collapse in accuracy, reliability, and cost at scale. This talk unpacks when to use LLMs, traditional methods, or hybrids—through rapid demos and a takeaway guide for real-world data expertise.

VC money is rushing into scraping browsers and related tech—from new startups to big moves like Perplexity’s Chrome bid. But is this real need or hype? This session explores trade-offs, market shifts, and Sequentum’s view on where browsers belong.

Scraping is never just technical. This talk unpacks the ethics of data access, exploring how APIs, public content, and code collide in a high-stakes negotiation between openness, compliance, and responsible extraction.

Learn how to use web data without crossing legal or ethical lines. This talk covers the changing rules around scraping, AI, and case law and gives simple strategies to stay compliant while still innovating and gaining business value.

Discover how scraped data evolves into recurring revenue by mastering cost per scrape, churn triggers, support load, pricing tests, and daily KPIs—giving you a clear, actionable blueprint to launch and scale a sticky, profitable scraping business.

Dive into the unpredictable world of IPv4 brokerage, geolocation mismatches, crisis response, and IP sourcing strategy plus how demand from AI scraping pushes infrastructure, databases, and compliance to their absolute limits

Income verification relies on accurate data from paystubs, W-2s, and bank transactions. This talk shows how to build a data-quality framework using cross-referencing, reconciliation checks, and LLMs as assistive validators.