Technical deep dives on web extraction, content parsing for LLMs, anti-bot bypass, and building open-source infrastructure in Rust. Written by the team behind webclaw.
webclaw turns any website into clean, structured content for AI applications. These posts cover the engineering decisions, trade-offs, and lessons learned building a web extraction toolkit from scratch.
Competitor price tracking is a production data pipeline, not a dashboard. How to collect, normalize, match, and act on competitor price data without making the wrong pricing call.

Bypassing web blocks in 2026 is an architecture decision, not a single trick. When raw HTTP is enough, when you need a headless browser, and when to buy a scraping API.

Convert HTML to Markdown the right way: Pandoc for local files, Turndown and markdownify in code, and a URL-to-Markdown API for JavaScript-rendered pages.
Compare Apify actors, the Apify marketplace, and Webclaw for any-URL markdown extraction, structured JSON, crawling, MCP access, and AI agent web tooling.
Compare Bright Data, Web Unlocker, and Webclaw for proxy infrastructure, markdown extraction, structured JSON, crawling, batching, and AI agent workflows.
How to use Jina Reader's r.jina.ai URL-to-markdown endpoint, where it works, its production limits, and when to choose a crawling and extraction API.
Crawl4AI vs Playwright for web scraping: which one to pick, where each breaks, and when you need neither. Markdown output, browser control, RAG input.
Most pages do not need a headless browser. How to detect an empty React shell, when a JavaScript rendering API is worth it, and how to skip the slow path.
The exact block markers, JA4 fingerprints, empty shells, anti-bot cookies, JavaScript heuristics, and content-quality signals that decide when a scraping API should escalate to a browser.
Cancel anytime. Turn any page into clean, structured content your agent can actually use.