The future I dreamed of is dawning

I started Zyte 15 years ago with a single, driving wish: to make it easier to gather data from the web.

Back then, and for so many years since, the reality of our industry was defined by fragility. Web data acquisition was often a painful, manual process. You built a scraper, it broke, you fixed it, and you hoped it held together long enough to get the data you needed. It was a constant battle against friction.

Today, as we release our 2026 Web Scraping Industry Report, the mood is different. For the first time, we now have a clear line of sight to the complete solution I dreamed of all those years ago. The path from "fragile code" to "effortless data" is a reality being actively built today.

I have never been more excited or optimistic about the future of our industry - and the reason is artificial intelligence.

We are moving past the era where AI is just a buzzword or a helper tool. We are entering a phase in which AI agents will automate all aspects of web data extraction to a meaningful degree.

While we won’t solve every single edge case this year, the landscape is going to look vastly different 12 months from now. AI is fundamentally changing the mechanics of our work - from writing the initial code to handling quality assurance.

It is taking what was once a manual, error-prone craft and turning it into an automated, resilient engineering discipline.

For years, we have talked about the "cat-and-mouse" between data-gatherers and data owners. But 2025 marked a significant transition in this space. The pace of updates from bot management vendors has accelerated, and the old methods of maximizing data success are becoming less effective.

This is a good thing.

As2026 Web Scraping Industry Report makes clear, the complexity of modern anti-bot measures has gone past the point where human developers can, or should, manage it manually. This is forcing a necessary evolution. Data people want to work with data; they don't want to spend their days developing responsive strategies to unblock a website.

So the industry is moving toward automated systems that conduct stringent website analysis to generate crawling recipes automatically - something we are heavily investing in at Zyte. This shift will free developers to focus on value, not on friction.

The relationship between web data and AI has become symbiotic. AI is not only driving the methods of web scraping; web data is becoming the fuel behind a massive new wave of AI businesses.

Naturally, this brings new questions regarding copyright, compliance, and ethics. The legal landscape governing data extraction is shifting significantly, and a central goal for industry leaders is to advocate for and adhere to good practices.

Rather than viewing these as roadblocks, I see them as signs of a maturing industry. We are beginning to see answers to these legal questions emerge. The "wild west" days are steadily being replaced by a landscape where compliance is built into the infrastructure, enabling sustainable growth for AI-driven companies.

We are witnessing the transition from a dream to a defined path. The friction of the past 15 years is giving way to a future where data extraction is seamless, compliant, and powered by intelligent agents.

It is incredibly exhilarating for me to see that the technology is finally catching up to the vision.