Blog
Notes on web crawling, AI agents, and structured data.
12 posts
2026-03-18
7 min read
A technical comparison of three approaches to web data extraction — selector-based, platform-based, and AI-powered.
2026-03-17
5 min read
A step-by-step guide to extracting product names, prices, specs, and reviews from any online store using JSON schemas.
2026-03-16
6 min read
Proxies, headless browsers, rate limiting — the traditional anti-block toolkit is failing. Here's what works now.
2026-03-15
6 min read
Most web scraping APIs weren't built for AI agents. Here's why that matters and what a purpose-built approach looks like.
2026-03-14
6 min read
A practical guide to giving your AI agent real-time web access with structured data output.
2026-03-12
5 min read
Web scraping for RAG pipelines usually means embedding noise alongside signal. Structured extraction fixes that from the start.
2026-03-10
8 min read
An end-to-end tutorial: crawl web pages, extract clean content, chunk it, embed it, and store it in a vector database for retrieval.
2026-03-08
4 min read
Proxies, headless browsers, CAPTCHA solving — the traditional approach to web scraping without getting blocked keeps getting more expensive and fragile.
2026-03-05
5 min read
JSON schemas are emerging as a declarative extraction language for the web — describe the shape of data you want, get exactly that back from any URL.
2026-02-28
7 min read
AI agent tool use is only as good as the tools themselves. Here's how to build structured, typed web tools that agents can actually reason with.
2026-02-20
5 min read
Manual competitive intelligence is always stale. Here's how to build automated competitor price monitoring with structured crawling.