AI
Articles from the Zyte blog about AI.

What multi-agent orchestration looks like in a large-scale web scraping project
Multi-agent orchestration is having its moment. The diagrams are everywhere now. Boxes for planners, boxes for hands, boxes for daemons, arrows to a shared brain, a human floating at the top. They keep getting prettier. The part where the web pushes back is still the part nobody draws.

Web scraping on 22 KB of RAM: Fitting the world on an ESP8266 microcontroller
Data-gathering doesn’t have to be memory-intensive. You can fit the world’s weather on a 9cm-square board, when you move the work to a web scraping API.

I built scraping agents for 30 days - here’s what I learned
For the last 30 days, I did one thing almost exclusively: I built scraping systems with AI agents, from the ground up, across real targets, with real deadlines. Not prototypes designed to impress in a demo, not isolated experiments running against a toy website, but production-grade pipelines that needed to ship and keep running.

I'm not the same developer I was before LLMs
I've been running a series of conversations with developers at Zyte to understand what's actually changed in the way they work since LLMs showed up. Not the headlines. The day-to-day. What they delegate, what they don't, what they notice, what surprises them. This one was different on two counts.

Why 10 million tokens won’t save your AI agent (and what will)
New models can process larger inputs, and confuse themselves in the process. Context management techniques can solve the problem.

OpenClaw and Claude helped me buy the perfect sneakers using Zyte API
Quickly compare e-commerce products across any site with an agent, a skill and an AI-powered web scraping API.

From screenshot to shopping list in 90 seconds
I built a mood board pipeline that starts with a screenshot. Claude Skills and Zyte API for search, product extraction, and image embedding at any scale.

Are programming practices relevant anymore?
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.

Is your AI coding assistant stuck in the past?
AI coding tools like Copilot can suggest outdated code and practices.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.

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

Code is cheap, show me the talk: How copilots are re-engineering developers
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.

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.




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