Articles from the Zyte blog about AI.

Quickly compare e-commerce products across any site with an agent, a skill and an AI-powered web scraping API.

From LLM-powered extraction to agentic pipelines, here's how AI is reshaping every stage of the web scraping workflow in 2026 -- and what it means for your stack.

AI coding tools like Copilot can suggest outdated code and practices. Learn why this happens and how developers can ensure they use the latest standards.

An interview with Scrapy maintainer Adrian Chaves on Zyte’s Web Scraping Copilot, AI-generated parsing code, and building reliable scraping workflows.

Discover how AI copilots like Zyte’s Web Scraping Copilot are transforming developer workflows—making code a commodity and shifting value to problem-solving and prompting skills.

A failed AI experiment reveals why adding more data doesn’t always improve LLM outputs. Learn when web scraping, RAG, and curated datasets actually make AI better.

Compare Claude skills, MCP servers, and Web Scraping Copilot to understand when to use each for AI-powered web scraping, data extraction, and production pipelines with Zyte API.

Learn how Claude skills can automate HTML fetching, AI parsing, selector generation, and structured data extraction to build faster, smarter web scraping workflows.

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.

What will 2026 have in store for the world of web data? We asked eight experts for their predictions.

2025 was the year AI learned to reason. From reasoning-first LLMs to autonomous agents and a reshaped web economy, this retrospective explores what changed—and what’s coming next.

AI-generated content now dominates the web. Explore the rise of synthetic internet traffic, how bots shape online discourse, and how data experts can fight back.
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