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Blog
Claude Fable 5 is the new best model for writing scrapers
Konstantin Lopukhin
8 min read
July 10, 2026
We ran nine models, including the new GPT-5.6, through our Zyte Scraping Code Benchmark. Claude Fable 5 puts Sol and others in the shade - but it’s pricey, and the best extraction code still depends on the best infrastructure.
Blog
Harness Engineering, part 2: harnessing a data extraction agent
Ayan Pahwa
8 min read
July 1, 2026
Point it at a website, tell it which fields you want, get back clean structured records. That's the agent we're designing in this post — and the interesting part isn't the model, it's the harness decisions that make it actually reliable at scale.
Blog
Harness Engineering, part 1: what is an agent harness and why it matters
Ayan Pahwa
8 min read
June 29, 2026
Same model, same weights, zero retraining — LangChain changed nothing but the scaffolding around a coding model and jumped it from 30th place to the top five on a benchmark. That scaffolding has a name: the harness. And it's the part you actually control.
Blog
The harness matters more than the model - Podcast EP07
John Rooney
11 min read
June 27, 2026
"The model is the engine — but the harness is everything else." In Episode 7, we dig into why the infrastructure layer around your AI model matters more than the model itself, rank the best models available right now, and ask whether the open-weighted revolution is about to make frontier subscriptions obsolete.
Blog
The best agent skill is the one that says the least
Neha Setia Nagpal
14 min read
June 23, 2026
More instruction, worse output. Zyte's head of R&D on why telling your agent exactly what to do can blind it to the obvious answer.
Blog
Why I'm adding GLM-5.2 to my agentic coding arsenal
Ayan Pahwa
12 min read
June 19, 2026
Is GLM-5.2 really closing the gap to Anthropic - and at just a fraction of the cost - or is it just more AI hype? I think so, and let me show you why.
Blog
My personal agent setup: the architecture that runs my household and my DevRel work
Neha Setia Nagpal
11 min read
June 16, 2026
"Four people, four diets, two work schedules, and a baby who answers to nobody. That's what finally made me build a personal agent." A walkthrough of the actual architecture I run to hold my household and my DevRel work together — profiles, skills, memory, and the web-data layer that makes it all reach the live web.
Blog
What's becoming of web scraping developers in the age of AI agents?
Neha Setia Nagpal
14 min read
June 9, 2026
AI agents can generate code, suggest selectors, and draft crawl logic. What they can't do is design the system that decides when to stop, what to trust, and how to recover when the web pushes back. That job still belongs to a human.
Blog
Four sweet spots for AI in web scraping
Theresia Tanzil
7 min read
July 14, 2025
Discover how AI and LLMs are enhancing web scraping with smarter crawling, fuzzy data extraction, automated spider generation, and intelligent QA.
Blog
What AI Builders Need to Know About the Training Data Copyright Debate
Sanaea Daruwalla
6 min read
June 9, 2025
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.
Blog
Data on command: The natural-language web scraping revolution
Iván Sánchez
10 min read
April 28, 2025
Unlock the future of web scraping with natural language—making data extraction faster, easier, and accessible to all.
Blog
Build a better brain - get ready for RAG
Rakesh Mehta
10 min read
April 21, 2025
Don't just let your LLM browse the web – empower it with the knowledge it needs to truly understand and serve your business.




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