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Konstantin Lopukhin

Konstantin is Zyte’s Head of R&D, where he leads research and development into machine learning methods to improve extraction, parsing, and content quality. He has also participated in Kaggle competitions, achieving a Grandmaster Title, and contributes to the community with talks, sharing code, and knowledge.

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The latest from Konstantin Lopukhin

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Claude Sonnet 4.6 is the new best model for writing scrapers

Claude Sonnet 4.6 is now the top model in Zyte’s Web Scraping Copilot benchmark, narrowly beating Gemini 3 Pro on extraction quality, with a small increase in code complexity.
Konstantin Lopukhin
February 18, 2026
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Gemini 3.0 Pro is the new best model for writing scrapers

Gemini 3.0 Pro outperforms GPT-5, Claude, and other leading LLMs in Zyte’s Web Scraping Copilot benchmarks, delivering the highest code accuracy and lowest complexity. See full results, pros, cons, and recommendations for production workflows.
Konstantin Lopukhin
November 20, 2025
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Leadership

Agentic web scraping: Hype, reality and what happens next

From broken parsers to context limits, today’s AI agents have real challenges—but with the right tools and orchestration, they could reshape how we extract web data.
Konstantin Lopukhin
September 9, 2025
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Leadership

The Fly, The Parrot & The Thinking Machine: The Rise of Reasoning LLMs

By leveraging the power of LLMs to reason about web page structures and data relationships, we can automate tasks that previously required significant human intervention.
Konstantin Lopukhin
April 14, 2025
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Leadership

Article data extraction | How to Maximize Quality

Obtaining access to high-quality and reliable content through news and article scraping is essential to keep up with today’s quickly evolving marketplace.
Konstantin Lopukhin
November 4, 2022

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Head of R&D