Data gathering for AI
Articles from the Zyte blog about Data gathering for AI.
The anti-ban arms race: Agentic traffic and the fight for the open web
As AI agents transform how we interact with the web, anti-bot systems threaten to fence off the digital open range.
How to convert a website to Markdown for AI: 7 methods compared
Seven realistic ways to turn web pages into clean Markdown for AI - what each method covers, where each breaks, and how to choose for training, RAG and agent pipelines.
Train AI on industry-leading Markdown with Zyte’s new extraction mode
Zyte API can now extract a web page’s main content directly as clean, structured Markdown for AI systems, RAG pipelines and developer workflows.
Introducing Zyte MCP: Powerful web data gathering for your agent
Zyte MCP brings live web access, structured extraction and Scrapy Cloud operations into coding agents such as Claude Code, Cursor and Codex.
Four in 10 sites block AI bots with robots.txt
Nearly four in 10 of the world's top sites are now closed to well-behaved AI crawlers. Here's what operators actually do with robots.txt, and which AI agents they block or welcome.
More data, more trouble: How a perfect corpus corrupted my AI dream
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.
Balancing innovation and regulation in data scraping
Weighing your options from full control to full service.
What AI Builders Need to Know About the Training Data Copyright Debate
The generative AI gold rush is upon us, with astounding new products and capabilities that are fuelled by web data and raising questions about AI copyright.
Build a better brain - get ready for RAG
Don't just let your LLM browse the web – empower it with the knowledge it needs to truly understand and serve your business.