
Author
Ayan is a developer advocate at Zyte.

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.

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.
AI agents can now write, run, and self-heal your web scrapers, and in Zyte's first-ever Web Scraping Community Meetup we show you exactly how. Live demos, a Claude Code plugin that turns a prompt into production-ready data, and a fireside chat on where AI is really heading.

I run GLM 5.2 inside Claude Code with the same tools, the same skills, and the same agent loop. Three environment variables is all it takes.

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.

Why my Scrapy project plays a triumphant fanfare when a crawl finishes clean and a sad trombone when it doesn't, and how I finally learned how to build Scrapy extensions (it's easy)

A viral clip from Claude Code's creator put a name to something a lot of us have been circling: loop engineering. Here's why web scraping may be its best-fit domain — and what that means in practice.

When you can scrape the web by API, a world of possibility opens up. Yes, you can extract live web data using iOS Shortcuts.

Your VPS is ready, but now you need to work through the same sequence you have run a dozen times before: apt update, apt install python3-pip, pip install scrapy, playwright install chromium, the Chromium dependency list that never installs cleanly on the first try, Redis, possibly Postgres, whatever else this particular project needs.

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.

the next time you spin up a VPS to give it a persistent home, you spend the better part of an afternoon rebuilding from memory: installing Scrapy, wiring up Redis, configuring the systemd units, getting Playwright's Chromium dependencies in the right state. Here's a tool to help
Ayan's 4 agent team, using Claude's /goal, and the models and coding agents he uses to code effectively.

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

Learn how Spidermon helps you monitor web scraping data quality in real time. Validate items, track field coverage, and get alerts before bad data impacts your pipeline.

Mastery of computer code used to be an engineer’s differentiator. Thanks to AI assistants, code is now the commodity, sensibility is the real premium.

Learn how to build your own Model Context Protocol (MCP) server to connect LLMs with real-time web data using Zyte API, FastMCP, and the Docker MCP toolkit.

Learn how to build a real-time AI chatbot using RAG, web scraping, Zyte API, LangChain, and OpenAI. Scrape JavaScript-heavy websites, store data in a vector database, and generate accurate answers from fresh web data.
Tired of repeating web scraping setup? Learn how a multi-arch Docker container with Scrapy, Zyte, Requests, and Pandas speeds up exploration and debugging.
Track real-world gold and silver retail prices automatically using Zyte API, Python, and a Raspberry Pi with an e-ink display. Learn how to scrape rendered HTML, parse prices, and build an always-on trading dashboard.
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