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.

Discover what is batch processing, its role compared to streaming, and why it's a critical pattern for efficient data pipelines, web scraping, and AI in 2026.

Discover what is screen scraping, how it works, its legal risks, and comparisons to modern APIs & web scraping for AI in 2026.

Scraping a website for emails in 2026 is contact discovery plus data-quality control, not regex on a homepage. How to crawl, render, extract, validate, and use email data responsibly.
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.
Jina Reader breaks on Cloudflare and DataDome. Same r.jina.ai-style URL to markdown, plus crawling, batching, and anti-bot bypass that returns content.
Cancel anytime. Turn any page into clean, structured content your agent can actually use.